M.Tech Control Systems syllabi MANIPAL UNIVERSITY

M.Tech ( Control Systems) Syllabus

Department of ICE, MIT, Manipal

DEPARTMENT OF INSTRUMENTATION & CONTROL ENGINEERING

M. Tech. CONTROL SYSTEMSYr. Sub.Code First Semester Sub.Code Second Semester

Subject Name L T P C Subject Name L T P CI MAT 601 Linear Algebra 4 0 0 4 ICE 602 Advanced H Control 4 0 0 4

ICE 601 Process Dynamics andControl 4 0 0 4 ICE604System Modeling andIdentification 4 0 0 4

ICE 603 Navigation Guidance andControl 4 0 0 4 ICE606Communication Networks &Protocols 4 0 0 4

ICE 605 Elective I 3 0 0 3 ICE 608 Elective III 3 0 0 3ICE 607 Elective II 3 0 0 3 ICE 610 Elective IV 3 0 0 3ICE 609 Adaptive Control 4 0 0 4 ICE 612 Open Elective I 4 0 0 4ICE 611 Soft computing Lab 0 0 3 1 ICE 614 PC Instrumentation Lab 0 0 6 2ICE 613 Control system andcomputing Lab 0 0 3 1 ICE 634 Space Engineering Lab 0 0 3 1ICE 615 Seminar I 0 0 3 1

Total 22 0 9 25 Total 21 0 12 25II ICE 699 Project Work - - - 25 Total Credits =75Total - - - 25


Department of ICE, MIT, Manipal

Elective I: Elective III:ICE 605.1- Soft Computing Techniques ICE 608.1-Astronomical ScienceICE 605.2-Mechatronics ICE 608.2-Robotics and AutomationICE 605.3-Robust and Optimal Control ICE 608.3-Hybrid dynamical systemsICE 605.4-H Controller Synthesis ICE 608.4-Spherical astronomyICE 605.5-Space Mission Analysis and DesignElective II: Elective IV:ICE 607.1 Advanced Digital Signal Processing ICE 610.1 PC Based InstrumentationICE 607.2 Advanced Sensor Technology ICE 610.2 VLSI DesignICE 607.3 Space Science Instrumentation ICE 610.3 Remote Sensing and Geographical Information SystemsICE 607.4 Non Linear Control Systems ICE 610.4 Space Environment and System Degradation in space

ICE 610.5 Advanced Virtual Instrumentation

Open Electives

ICE 612.1 - Computational Techniques & OptimizationICE 612.2 - Robust Control


Department of ICE, MIT, Manipal3

FIRST SEMESTER(I & II Semester)



MAT 601: LINEAR ALGEBRA [4 0 0 4]

Finite dimensional vector space, subspaces, linear independence, bases and dimensionAlgebra of transformations, range and null space of a linear transformation, matrix algebra,simultaneous equations.Sum and intersection of subspaces, direct sum of invariant subspaces, eigen values, characteristicvectors, Cayley-Hamilton theorem, minimal polynomial, Sylvesters interpolation method,various canonical form. Algebra of polynomial matrices, invariant.Polynomial matrices, invariant polynomials, elementary divisors,Smith canonical form. Inner-product spaces, Gram Schmidt orthogonalization, linear transformation and their adjoint, selfadjoint, unitary and normal transformations, polar decomposition.Some computational methods of linear algebra.References:

1. Finkbeiner D.T. Introduction to Matrices and linear Transformation, D.B. Taraorewalas.1968

2. Hoffman, K and Kunze, R. linear Algebra, Prentice Hall of India. 1972.3. Gantmocher F.R. The Theory of Matrices, Cheisea. 19604. Goult, R.J., Hoskin, R.P., Milner, J.A and Pratt, M.J.- Computational methods in Linear

Algebra, Stanley Thomas Pub. Ltd. 1974



ICE 601: PROCESS DYNAMICS AND CONTROL [4 0 0 4]

Review of Process and Control Systems:Control Systems, Process control principles, servomechanism, Process control block diagram,identification of elements, Dynamics of liquid process, gas process, flow process, thermal process,mixing process - Batch process and continuous process - Self regulation.

Design aspects of Process Control SystemClassification of variables, Design elements of a control system, control aspects of a process. Theinput output model, degrees of freedom and process controllers. Modes of operation of P, PI andPID controllers. Effect of variation of controller variables. Typical control schemes for flow,pressure, temperature and level processes.Control System components:I/P and P/I converters - Pneumatic and electric actuators - valve positioner - control valveCharacteristics of control valve - valve body - globe, butterfly, diaphragm ball valves - control valvesizing - Cavitation, flashing in control valves - Response of pneumatic transmission lines and valves.Actuators Pneumatic, Hydraulic, Electrical/ Electronic.Dynamic behavior of feedback controlled process:Stability considerations. Simple performance criteria, Time integral performance criteria: ISE, IAE,ITAE, Selection of type of feedback controller. Logic of feed forward control, problems in designingfeed forward controllers, feedback control, Ratio Control, Cascade Control, Over ride control,auctioneering control, split range control. Processes with large dead time. Dead time compensation.Control of systems with inverse response.Introduction to plant wide control:Plant wide control issues, hypothetical plant for plant wide control issues, internal feedback ofmaterial and energy, interaction of plant design and control system design.REFERENCE:

1. Curtis Johnson, Process Control Instrumentation Technology , Prentice Hall of India. 19962. George Stephanopoulos, Chemical Process Control, Prentice Hall of India. 2005

Caughanour and Koppel, Process systems analysis and control, Tata McGraw Hill. 19913. Dale E. Seborg, Process Dynamics and Control, John Wiley. 20094. Eckman D.P, Automatic process control, Wiley Eastern, 19865. Peter Harriot, Process control, Tata McGraw Hill. 1964.6. Patranabis D, Principles of process control, Tata McGraw Hill. 2000.7. F.G. Shinkskey, Process controls Systems, McGraw Hill. 1986.



ICE 603: NAVIGATION GUIDANCE AND CONTROL [4 0 0 4]

Modeling and dynamics of Aircraft: Longitudinal dynamics displacement autopilot- pitch ratefeedback for damping- control stick steering acceleration control system Glide slope controlsystem. Lateral dynamics of an Aircraft, Yaw damper- Method of obtaining co ordination- betafeedback-beta beta dot feedback acceleration feedback. Yaw orientational control system- Rollangle control system - Landing.Dynamics of Aerospace vehicles: Missiles Missile Control Systems; Dynamics and Control ofRigid and Elastic Rockets; Control-Structure Interaction; Longitudinal and Lateral Autopilots forRigid Aircraft;Navigation: Terrestrial navigation, Celestial navigation, Terrestrial radio navigation, satellite-based navigation, inertial navigation, Integrated Navigation.Guidance: Introduction to Guidance, Navigation and Avionics; Radar Systems, Command andHoming Guidance Systems. Mission consideration and analysis of flight path, Optimal guidanceLaws, Inertial GuidanceControl of Aerospace Vehicles: Design of Controllers for Aerospace Vehicles; Classical, Poleassignment, Eigen Structure Assignment, Optimal Control, LQR, LQG/LTR, Observers andKalman Filters

REFERENCE:1. Garnell, P. Guided Weapon Control Systems, Peraganon. 1980.2. Blakelock, J H. Automatic Control of Aircraft and Missiles, John Wiley. 19913. Greensite A L, Analysis and Design of Space Vehicle Flight Control System, Spartan Books.

19704. Skolnik R E. Introduction to Radar System, Mc Graw Hill. 19825. Lin, C F. Modern Guidance, Navigation and Control Processing, Prentice-Hall.19916. DAzzo J J and Hougis, C H, Linear Control System Analysis and Design, (4e) Mc Graw Hill,.7. Maceijowski, Multi-Variable Feedback Design, Addison Wesley. 19878. A. Sinha. Linear Systems: Optimal and Robust Control, 1/e, CRC Press. 2007.9. D. S. Naidu, Optimal Control Systems, 1/e, CRC Press. 200310. B. Hofmann-Wellenhof, K. Legat, M. Wieser, Navigation Principles of Positioning and

Guidance. Springer Wien New York. 2003.



ICE 605.1: SOFT COMPUTING TECHNIQUES [3 0 0 3]Basics of Fuzzy Sets: Fuzzy Relations Fuzzy logic and approximate reasoning DesignMethodology of Fuzzy Control Systems Basic structure and operation of fuzzy logic controlsystems.Concepts of Artificial Neural Networks: Basic Models and Learning rules of ANNs. Singlelayer perceptron networks Feedback networks Supervised and unsupervised learningapproaches Neural Networks in Control Systems.Basics of Genetic Algorithms: Evolution of Genetic Algorithm Applications.Integration of Fuzzy and Neural Systems: Neural Realization of Basic fuzzy logic operations Neural Network based fuzzy logic inference Neural Network based Fuzzy Modelling Types ofNeural Fuzzy Controllers.Fuzzy logic based Neural Network Models: Fuzzy Neurons Type I, Type II, Type III

Fuzzification of Neural Network Models Fuzzy Perceptron and Fuzzy classification with backpropagation network Neural Networks with fuzzy training Fuzzy Neural clustering.REFERENCE:1. Jyh Shing Roger Jang, Chuen-Tsai Sun, Eiji Mizutani, Neuro-Fuzzy and Soft Computing: A

Computational Approach to Learning and Machine, Prentice Hall. 19972. Chin Teng Lin and C.S. George Lee, Neural Fuzzy Systems A neuro fuzzy synergism to

Intelligent systems, Prentice Hall International. 19963. Yanqing Zhang and Abraham Kandel, Compensatory Genetic Fuzzy Neural Networks and

Their Applications, World Scientific. 1998.4. T. J. Ross, Fuzzy Logic with Engineering Applications, McGraw-Hill, Inc. 1995



ICE 605.2: MECHATRONICS [3 0 0 3]

Introduction to Mechatronics Overview of Mechatronic products and their functioning. Surveyof Mechatronical components, selection and assembly for precision engineering applications.

Study of electromechanical actuators and transducers. Load analysis and actuator selection fortypical cases such as computer peripherals.

Study of electronic controllers and drives for mechanical products. Rules for mechanical andelectrical systems.Design assignments and practical case studies.REFERENCE:

1. Trylinsky.W. Fine Mechanics and Precision instruments, Pergemom Press. 19712. Kuo.B.C. Motors D.D and Control Systems, SRL Publishing Company. 19793. Kuo. B.C. Step motors and Control Systems, SRL Publishing Company. 1979



ICE 605.3: ROBUST AND OPTIMAL CONTROL [3 0 0 3]Introduction: Norms for signals and systems, Input- Output Relationships, Internal stability,Asymptotic Tracking, Performance.Uncertainty and Robustness: Plant Uncertainty, Robust stability, Robust performance.Stabilization: Controller parameterization for stable plant, Co-prime factorization, controllerparameterization for general plant, Asymptotic properties, strong and simultaneous stabilization.Design Constraints: Algebraic constraints, Analytic constraints.Design for Performance: P-1 stable, P-1 unstable, Design example, 2-norm Minimization.

Stability Margin Optimization: Optimal Robust stability, Gain margin Optimization, Phasemargin optimisation.Design for Robust Performance: The modified problem, spectral factorization, solution of themodified problem, design.Optimal Feedback Control: Formulation of optimal control problem, selection of performancecriteria for minimum time, minimum energy, Minimum fuel, Principle of optimality, Hamilton Jacobi- Bellman equation, State regulator, output regulator and tracking problems.Discrete Linear Regulator Problems: Numerical solution of the Riccati equation. Use of linearstate regulator results to solve other linear optimal control problems. Sub optimal linearregulators- continuous and discrete time systems. Minimum time problems, minimum controleffort problems.Calculation of Variations: Fundamental concepts, minimization of functions, minimization offunctionals, functional of a single function, functionals involving several independent functions,Piecewise smooth extremals, constrained extremal, Pontryagins minimum principles, control andstate variable inequality constraint.Dynamic Programming: Multi stage decision process in discrete time, principle of causality andoptimality, Multi stage decision process in continuous time. Numerical solution of two-pointboundary value problem. Minimization of functions. The steepest decent method, The Fletcher-Powell method.REFERENCE:1. J.C. Doyle, B.A. Francis and A .R. Tannenbaum, Feedback control Theory, Macmillan

publishing company, New York. 1992.2. K.Morris, Introduction to feedback control, Academic press. 2001.3. B.A Francis, A course in H control theory, Lecture notes in control and Information

sciences, Spriger-Verlag, 19874. K. Ogata, Discrete time control systems, PH. 1987.5. M. Gopal, Digital control engineering. Wiley Eastern Limited. 19886. Kirk D.E, Optimal control theory, an introduction. PHI. 19707. J Nagrath and M. Gopal, Control system engineering, (2e), Wiley Eastern limited. 19828. D. S. Naidu. Optimal Control Systems, (1e), CRC Press. 20039. A. Sinha (2007) Linear Systems: Optimal and Robust Control, (, CRC Press



ICE 605.4: H CONTROLLER SYNTHESIS [3 0 0 3]

Multivariable Frequency Response Design: Introduction, Singular values, singular valuedecomposition, singular value inequalities, sensitivity operator, Robust stability analysis,Performance analysis and enhancement.Signals and Systems: Signals, size of signals, signals in frequency domain. Systems, linearsystems, space L, space H, adjoint systems, Allpass systems, Size of a system, small gaintheoremLinear Fractional transformations: Introduction, composition formula, interconnection of statespace LFTs, LFTs in controller synthesis, generalized regulator problem, The full informationproblem, contractive LFTs, constant matrix case, Dynamic matrix case, Minimizing the norm ofconstant LFTs, simplifying the generalized plant.LQG Control: Introduction, Full information, finite-horizon case, infinite horizon case, inclusionof cross terms,. Kalman filter, finite-horizon case, infinite horizon case, Measurement feedback,finite-horizon case, infinite horizon case.Full-Information H Controller Synthesis: The finite horizon case, connection to differentialgames, first order necessary conditions, Riccati equations, sufficiency and necessity- completingsquare, all closed loop systems, all controllers. The infinite horizon case, preliminaryobservations, sufficiency, a monotonicity property, assumptions, necessity, all controllers.The H Filter: Finite-horizon results, necessary and sufficient conditions, All solutions,Terminal state estimation properties, Infinite-horizon results, The H Wiener filtering problem,Inertial navigation system.The H generalized Regulator Problem: Problem statement, Finite horizon results, twonecessary conditions, necessary and sufficient conditions, Infinite-horizon results, an equivalentproblem, necessary and sufficient conditions.REFERENCE:

1. M. Greens and D.J.N Limebeer, Linear Robust Control, Prentice Hall Englewood Cliffs.1995

2. K. Zhou, J.C. Doyle and K.Glover, Robust and Optimal Control, Prentice Hall, 19963. K. Morris, Introduction to Feedback Control, Harcourt/Academic press, 2001



ICE 605.5: SPACE MISSION ANALYSIS AND DESIGN [3 0 0 3]

The Space Missions Analysis and Design ProcessIntroduction and Overview, The Space Mission Life Cycle, Definition of MissionObjectives, Preliminary Estimate of Mission Needs, Requirements and ConstraintsIdentifying Alternative Mission Concepts, Identifying Alternative Mission ArchitecturesIdentifying System Drivers, Characterizing the Mission Architecture.Mission Evaluation

Identification of Critical Requirements, Mission Analysis, Mission Utility, Mission ConceptSelection, Space Mission Geometry, Keplerian Orbits, Orbit Perturbations, Orbit Maneuvering,Launch Windows, Orbit Maintenance and Constellation Design.Spacecraft Subsystems

Attitude Determination and Control, Telemetry, Tracking and Command, Command and DataHandling, Power, Thermal, Structures and Mechanisms, Guidance and Navigation, GroundSystem Design and Sizing, Spacecraft Computer Systems, Space Propulsion Systems, LaunchSystems.Communications ArchitectureData Rates, Link Design, Sizing the Communications Payload, Special TopicsMission OperationsDeveloping a Mission Operations Plan, Launch Site Operations, Overview of Space MissionOperations Functions, Automating Spacecraft and Ground Operations Functions.REFERENCE:

1. James R. Wertz & Wiley J. Lason Space Mission Analysis and Design, -Microcosm/Kluwer-1999

2.Thomas P. Sarafin Spacecraft Structures and Mechanisms, -Microcosm/Kluwer-19953.Bang Wie Space Vehicle Dynamics and Control, AIAA Education Series-19984.George P. Suttan-Rocket Propulsion Elements: An Introduction to the Engineering of

Rockets, John Wiley and Sons-20015.Charles D. Brown Spacecraft Mission Design, -AIAA Education Series-1998



ICE 607.1: ADVANCED DIGITAL SIGNAL PROCESSING [3 0 0 3]

Signals and Systems: Introduction, Continuous time and discrete time signals, Transformationsof independent variable, Exponential and Sinusoidal Signals, Unit impulse and unit step functions,basic properties. LTI Systems: Introduction, Convolution sum, Convolution integral, Properties ofLTI systems.Multirate Signal Processing & Filter Banks: Introduction, Decimation, Interpolation, Fractionalrate conversion, Multistage Filter implementation. Interpolated FIR filter (IFIR), IFIR techniquefor decimation filter and interpolation filter. Analysis and Synthesis banks. Poly phase structures Polyphase structure for decimation and interpolation filters.Applications of Multirate Signal Processing: Filter banks, digital audio, analog voice privacysystem, transmultiplexers, Multirate adaptive filters, Sub band coding spectral analysis,amplitude and phase analysis, simple and M channel QMF.Adaptive Filtering: Principles of adaptive filtering, LMS and RMS algorithms. Applications innoise and echo cancellation.Homographic Signal Processing: Homograph systems for convolution, properties of complexspectrum, application of homographic deconvolution.Time Frequency Analysis: Need for time frequency analysis. Time frequency distributions, shorttime Fourier transform Wigner distribution. Introduction to wavelet transformation.REFERENCE:

1. P.P. Vaidhyanathan, Multirate systems and filter banks, Prentice Hall, 1993.2. Emmanuel Ifeachor and Barrie Jervis, Digital Signal Processing: A Practical Approach

(2nd Edition), Prentice Hall, 2004.3. J.G Proakis and D.G Manolakis - Digital Signal Processing: Principles, Algorithms and

Applications, PHI, 2004.4.A.V. Oppehein and R.W. Schafer, Discrete time signal processing, PHI, 19925.Haykins, Adaptive Filter Theory, Prentice Hall, 19866. Leon Cohen, Time Frequency analysis, Prentice Hall, 19957.Orfanidis Sophocles J, Optimum Signal Processing, McGraw Hill, 1988



ICE 607.2: ADVANCED SENSOR TECHNOLOGY [3 0 0 3]

Chemical Sensors: Blood Gas and Acid base physiology Electrochemical sensors, ChemicalFibro sensors, Iron-Selective Field-Effect Transistor (ISFET),Immunologically Sensitive FieldEffect Transistor (IMFET) , Integrated flow sensor and Blood Glucose sensors.Optical Sensors: Fiber optic light propagation, Graded index fibers, Fiber optic communicationdriver circuits, Laser classifications, Driver circuits for solid state laser diodes, Radiation sensorsand Optical combinations.Biomedical Sensors: Sensors Terminology in human body, Introduction, Cell,BodyFluidsMusculoskeletal system, Bioelectric Amplifiers, Bioelectric Amplifiers for Multipleinput Circuits,Differentional Amplifiers, Physiological Pressure and other cardiovascularmeasurements and devices.Electrodes: Electrodes for Biophysical sensing, Electrode model circuits, Microelectrodes,ECG,EEG,electrodes ECG signals, waveforms, Standard lead system, Polarization ,Polarizable,Non polarizable electrodes and body surface recording electrodes. Ultrasonic Transducers forMeasurement and therapy radiation detectors NIR spectroscopy .Advanced Sensor Design: Fluoroscopic machines design, Nuclear medical systems, EMI tobiomedical sensors, types and sources of EMI, Fields, EMI effects. Computer systems used in X-ray and Nuclear Medical equipments. Calibration, Typical faults, Trouble shooting, Maintenanceprocedure for medical equipments and Design of 2& 4 wire transmitters with 4 20 mA output.Aerospace Sensor: Gyroscope laser and accelerometers. Sensors used in space andenvironmental applications.REFERENCE:1. Sensors Hand Book Sabaree Soloman - Sensors Hand Book, McGraw Hill,19982. Smith H.M. - Principles of Holography, John Wiley & Sons, New York, 19753. J.G. WebsterMedical instrumentation Application and Design, Houghton Mifilin Co. 2004,4. Carr and Brown - Introduction to Medical Equipment Technology, Addison Wesley. 19995. Culshaw B and Dakin J (Eds) Optical Fibre Sensors, Vol. 1 & 2 Artech House, Norwood.

(1989)-6. P. Garnell Guided Weapon Control Systems Pergamon Press. 1980



ICE 607.3: SPACE SCIENCE INSTRUMENTATION [3 0 0 3]Telescope, theory of optics, fundamental design issues, aberrations, standards of measure, realworld examples Pros and cons of differing approaches and designsImaging and detectors, fundamentals of semiconductors operations, fundamentals of imaging

design and theory, Introduction to CCDs Nomenclature, noise properties, quantum efficiency,CCD manufacturing and operation, types of CCDs, CCD coatings, analog to digital converters.[07]Characterization of charge-coupled devices: Quantum efficiency, Charge diffusion, Chargetransfer efficiency, Readout noise, Dark current, CCD pixel size, pixel binning, full well capacity,and windowing, Overscan and bias, CCD gain and dynamic range.Practical observing: filter choice and design, calculations related to CCD, CCD imaging, Image orplate scale, Flat fielding, calculation of read noise and gain, signal to noise ratio, basic CCD datareduction.Photometry and astrometry: Stellar photometry from digital images, Image centering, Estimation

of background, Two-dimensional profile fitting, Difference image photometry, Aperturephotometry, Absolute versus differential photometry, High speed photometry, Astrometry.Spectroscopy with CCDs: Review of spectrographs, CCD spectrographs, CCD spectroscopy,

Signal-to-noise calculations for spectroscopy, Data reduction for CCD spectroscopy, extendedobject spectroscopy.

REFERENCE:1. Steve B Howell ,Hand book of CCD Astronomy , Cambridge Univ Press 2006.2. Patrick Martinez & Alain Klotz A Practical Guide to CCD Astronomy,Cambridge Univ

Press 1998.3. Hester & Collaborators 21st century astronomy ( WW Norton & Company publication)4. H.A.Rey The stars A new way to see them ( Houghton Mifflin Company publication)



ICE 607.4: NONLINEAR CONTROL SYSTEMS [3 0 0 3]

Introduction: Nonlinear system behaviour, concepts of phase plane analysis, singular points,constructing phase portraits, phase plane analysis of non linear systems, existence of limit cycles,concepts of stability, describing function analysis assumptions and definitions, describingfunctions of common nonlinearities.Lyapunov theory: Lyapunov direct method, positive definite functions and lyapunov functions,invariant set theorems, lyapunov analysis of linear time invariant systems, the variable gradientmethod, performance analysis, control design based on lyapunovs direct method, Lyapunovanalysis of non autonomous systems, existence of Lyapunov functions.Feedback Linearization: Feedback linearization and the canonical form, Input statelinearization, input output linearization of SISO and MIMO systems.Sliding Control: Sliding surfaces, continuous approximations of switching control laws,modeling performance trade offs, VSSC examples.Control of multi input physical systems: Adaptive robot trajectory control, spacecraft control,

attitude control.

REFERENCE:1.R. Marino and P. Tomei Nonlinear control design - Geometric, Adaptive and Robust,

Prentice Hall,19952. J.J.E.Slotine and W.Li Applied Nonlinear control, Prentice Hall, 19983.Alberto Isidori Non linear Control systems, Springer Verlag, , 1999



ICE 609: ADPATIVE CONTROL [4 0 0 4]

Mathematical Model:Mathematical models of I order, II order, I order with pure delay and higher order systems discretisation techniques and computer solution of differential equations simulation of processdynamics state models.Identification Methods:Conventional techniques of identification identifications of systems with dead time discretesystems ARMA process discrete state model least squares techniques recursive lestsquares algorithms fixed memory algorithms minimum variance method

Adaptive Control of Deterministic Systems:Gain scheduling MRAC STC- minimum variance controller predictive control minimumprediction error adaptive controls adaptive control algorithms for closed loop pole assignment adaptive control of time varying systemsState Estimation and ObserversParameter estimation and state estimation luenberger asymptotic observers adaptive observers extended recursive least squares FM and Kalman filter.Adaptive predictive control:Adaptive predictive control systems Fuzzy logic inverse modeling neural network methods

REFERENCE:1. Astrom K.J., and Wittenamrk B Adaptive control, Addison Wesley Publishing Co.19892. Sastry S. and Bodson M. Adaptive control Stability, Convergence and Robustness,

Prentice Hall, 19893. Hsia T.C.H.A. System identification, Lexington Books. 19744. Milon W.T., Sutton R.S., and Webros P J- Neural networks for control, MIT press, 19925. Stephanopoulis G Chemical Process Control, Prentice Hall of India,1990



ICE 611: SOFT COMPUTING LAB [0 0 3 1]

The following experiments are to be tested using MATLAB toolboxes although programminglanguage is suggested as a better option:I. MATLAB Fuzzy Logic Toolbox

1. To implement fuzzy set operations2. To implement fuzzy relational operations.3. To design and implement fuzzy temperature controller4. To design and implement Fuzzy Traffic light controller5. To write and illustrate the concept of Fuzzy C means Clustering6. To design a self executable fuzzy logic controller

II. MATLAB Neural Network Toolbox1. Write programs to test the learning rules of Hebb, Perceptron, Delta, and Widrow Hoff in

MATLAB learning rule.2. To implement the Back propagation algorithm3. To write and test a program for the linear separability of the input domain4. To write and implement a Hopfield algorithm.5. To write a program for pattern recognition6. To design a self executable neural classifier.

REFERENCE:1.Jyh Shing Roger Jang, Chuen-Tsai Sun, Eiji Mizutani - Neuro-Fuzzy and Soft Computing:

A Computational Approach to Learning, Prentice Hall. 19972.Chin Teng Lin and C.S. George Lee - Neural Fuzzy Systems A neuro fuzzy synergism

to intelligent systems Prentice Hall International. 19963.Yanqing Zhang and Abraham Kandel - Compensatory Genetic Fuzzy Neural Networks and

Their Applications" World Scientific. 19984.S.N. Sivanandam, S. Sumathi, S.N. Deepa Introduction to Neural Networks using Mat Lab

6.0 Tata Mc Graw Hill 2006



ICE 613: CONTROL SYSTEM AND COMPUTING LABORATORY [0 0 3 1]

Course Topics:1. Familiarization with Matlab and Matlab Control System Toolbox.2. Transfer functions3. Time domain analysis and steady state errors4. Proportional Integral Derivative Control5. Stability analysis using Bode plots and Nyquist plots6. State Space analysis - Controllability, Observability and system gain7. Pole placement and Root locus8. Compensation design using Lag, Lead compensators9. Compensators using Lead Lag approaches10. Models of Practical systems like electric Power System11. Familiarization of digital Control System Analysis12. Analysis of stability in digital domain.

REFERENCE:1. D. Frederick and J. Chow, Feedback control problems using MATLAB, Brooks/Cole

Thomson Learning, 20002. MATLAB documentation.3. Control System Tool Box documentation4. OgataModern Control Engineering, Tata McGraw Hill, 1998



ICE 615: SEMINAR [0 0 3 1]

Each student has to present a seminar, on any technical topic related to any subject notcovered in the syllabus. The presentation time is a minimum of 30 minutes followed by a10 minutes session for discussion/question and answers.

The seminar topic selected by the student must be approved by the authorized faculty ofthe department at least two weeks in advance.

Each student has to submit to the department a seminar report at least three days before theday of seminar.

Each student has to make the presentation with OHP/multi-media projector.



SECOND SEMESTER



ICE 602: ADVANCED HCONTROL [4 0 0 4]

Parameterization of Stabilizing Controllers: Existence of stabilizing controllers, Duality andspecial problems, Parameterization of all stabilizing controllers, structure of controllerparameterization closed loop transfer matrix, Youla parameterization via Coprime factorization.Algebraic Riccati Equations: All solution of a Riccati equation, Stabilizing solution and Riccatioperator, extreme solutions matri inequalities spectral factorizations, positive real functions, innerfunctions, inner outer factorizations, Normalized coprime factorizations.H2 Optimal Control: Introduction to Regulator problem, Standard LQR problem, Extended LQRproblem, Guaranteed stability margins of LQR, standard H2 problem, optimal controlled system,H2 control with direct disturbance feed forward, separation theory stability margins of H2controllers.Linear Quadratic Optimization: Hankel operators, Toeplitz operators, mixed Hankel-Toeplitzoperators- general case, Linear quadratic max-mini problemH Control: Simple case: Problem formulation, output feedback H control, motivation forspecial problems, Full information control, full control, disturbance feed forward, outputestimation, separation theory, optimality and limiting behavior, controller interpretations, optimalcontroller.H Control: General case:General H solutions, loop shifting, H2 and H integral control, H filtering, Youlaparameterization approach, connections, state feedback.H Loop shaping:Robust stabilization of coprime factors, loop shaping using using normalized coprimestabilization, theoretical justification for H loop shaping.Controller order reduction:Controller reduction with stability criteria, H controller reductions, frequency weightedL norm approximations.Fixed Structure controllers:Lagrange multiplier method, fixed order controllers.

REFERENCE:1. K. Zhou, J.C. Doyle and K.Glover Robust and Optimal Control, Prentice Hall, 19962. K. Morris)- Introduction to Feedback Control, Harcourt/Academic press, 20013. M. Greens and D.J.N Limebeer Linear Robust Control, Prentice Hall, 1995



ICE 604: SYSTEM MODELING AND IDENTIFICATION [4 0 0 4]Introduction: Basic of statistics- Population and sample, frequency distribution, DescriptiveMeasures, Quartiles and other Percentiles, the calculation of Mean, Median, Standard deviation,variance, Probability and random processes, Discrete and continuous distributions, central limittheorem, Random number generation, Monte Carlo Techniques, statistical description of data,modeling of data, Data fitting methods, regression analysis, Goodness of fit, Modeling andsimulation concepts, models in general system theory.Statistical Analysis: Discrete event simulation, event scheduling, time advance algorithms,manuals simulation using event scheduling, statistical methods in simulation, Analysis ofsimulation data, verification and validation of simulation models, Comparison and evaluation ofalternative system design.Modeling and Simulation of Dynamic systems: Solutions of ODEs, numerical methods forsolutions of ODEs, explicit and implicit methods, error and accuracy, stability analysis ofnumerical solvers, stff systems and stability.Frequency Domain Analysis: Frequency domain in analysis of linear systems, FFT and powerspectra, nonlinear systems, maps bifurcations and chaos. For all computations use of Matlab willbe highly recommended.Conventional Methods of System Modeling: Impulse response Frequency response Stepresponse methods Signal modeling.Digital Simulation of Processes: Discrimination techniques Runge-Kutta method Z-transform method Use of simulation packages Simulation of first and second order systemwith and without dead time. Expanding memory identification techniques: Recursive least squares Modified least squares techniques Fixed memory Rs algorithm Maximum likelihood Instrument variable stochastic approximation techniques.

REFERENCE:1. Banks J, Carson J.S and Nelson B Discrete Event system Simulation, (2e) Prentice hall, 19962. Edwards D and Hamson M Guide to mathematical Modelling, Macmillan, London. 19893. Giordano F.R and Weir MDA first course in mathematical modeling, Wadsworth. 19854. Deo N Systems simulation with digital compute Prentice Hall. 19835. Hale.J and Kocak - Dynamic and Bifurcations, Spring-Verlag. 19926. Hirsh.M and Smale.S Differential equations, Dynamical systems, and linear algebra.

Academic press R, 19957. Pratap)- Getting started with Matlab, Sounders college publishing. 19748. Isermann R Digital Control Systems, Vol. I & II, Narosa Publishing House, Reprint. 19939. Mendel J.M. Discrete Techniques of Parameter Estimation, Marcel Dekkar,197310. Goodwin G.C. and Sin S.K. Adaptive Filtering, Prediction and Control Filtering, Prediction

and Control, Prentice Hall Inc. 198411. Richard A. Johnson, Probability and statistics for engineers, Pearson. 2003



ICE 606: COMMUNICATION NETWORKS AND PROTOCOLS [4 0 0 4]

Data Communications: Components Direction of Data flow networks Components andCategories types of Connections Topologies Protocols and Standards ISO / OSI model Transmission Media Coaxial Cable Fiber Optics Line Coding Modems RS232Interfacing sequences.Data Link Layer: Error detection and correction Parity LRC CRC Hamming codelow Control and Error control - stop and wait go back-N ARQ selective repeat ARQ- slidingwindow HDLC - LAN - Ethernet IEEE 802.3 - IEEE 802.4 - IEEE 802.5 - IEEE 802.11 FDDI- SONET Bridges.Network Layer: Internetworks Packet Switching and Datagram approach IP addressingmethods Subnetting Routing Distance Vector Routing Link State Routing Routers.Transport Layer: Duties of transport layer Multiplexing Demultiplexing Sockets UserDatagram Protocol (UDP) Transmission Control Protocol (TCP) Congestion Control Qualityof services (QOS) Integrated Services.Application Layer: Domain Name Space (DNS) SMTP FTP HTTP - WWW SecurityCryptography.REFERENCE:

1.Behrouz A. Forouzan, Data communication and Networking, Tata McGraw-Hill, 2004.2. James F. Kurose and Keith W. Ross, Computer Networking: A Top-Down Approach

Featuring the Internet, Pearson Education, 2003.3. Larry L.Peterson and Peter S. Davie, Computer Networks, Harcourt Asia Pvt. Ltd.,

Second Edition.4.Andrew S. Tanenbaum, Computer Networks, PHI, Fourth Edition, 2003.5.William Stallings, Data and Computer Communication, Sixth Edition, Pearson

Education, 2000.



ICE 608.1: ASTRONOMICAL SCIENCE [3 0 0 3]OVERVIEW OF THE UNIVERSE: Qualitative description of interesting astro objects: (fromplanets to large scale structure), Length, mass and timescales, Physical conditions in differentobjects, Evolution of structures in the universe, red shift. Radiation in different bands,Astronomical jargon, Astronomical measurements in different bands, Current sensitivities andresolution available.GRAVITY: Newtonian gravity and basic potential theory, Simple orbits - Keplers laws andrecession, flat rotation curve of galaxies and implications for dark matter, Virial theorem andsimple applications, Role of gravity in different astrophysical phenomena. RADIATIVEPROCESSES: Overview of radiation theory and Larmor formula, Different radiative processes:Thomson and Compton scattering, Bremsstrahlung, Synchrotron [detailed derivations are notexpected], radiative equilibrium, Planck spectrum and properties, Line widths and transition ratesin QT of radiation, Qualitative description of which radiative processes contribute in whichwaveband/astrophysical system, Distribution function for photons and its moments, Elementarynotion of radiation transport through a slab, Concept of opacities. GAS DYNAMICS: Equationsof fluid dynamics, Equation of state in different regimes [including degenerate systems], Modelsfor different systems in equilibrium, Application to White warfs/Neutron stars, Simple fluid flowsincluding supersonic flow, Example of SUN explosions and its different phases.STELLAR PHYSICS: Basic equations of stellar structure, Stellar energy sources, Qualitativedesription of numerical solutions for stars of different mass, Homologous stellar models, Stellarevolution, Evolution in the HR-Diagram. GALACTIC PHYSICS : Milky Way Galaxy, Spiraland Elliptical galaxies, Galaxies as self gravitating systems, Spiral structure, Supermassive blackholes, Active galactic nuclei. SUN AND SOLAR TERRESTRIAL EFFECTS: Solar Structure anddynamics, Solar atmosphere ,Solar magnetic field , Interplanetary medium and shockpropagation in IPM, Earths Magnetic field, Bow shock and charged particle entry into earthsatmosphere, Geomagnetic effects Geomagnetic storm and satellite, Individual Planets and minorbodies.REFERENCE:

1. B.W. Carroll and D.A. Ostlie Modern Astrophyiscs (2e), B.W. Carroll and D.A. OstlieAddison - Wesley. 2006

2. F. Shu, (The Physics of Astrophysics, Volume I and II, University Science Books. 1992)3. T. Padmanabhan, Theoretical Astrophysics Volumes I, II and III, Cambridge University

Press, 20004. Arnab Rai Choudhuri The Physics of Fluids and Plasmas, Cambridge University Press.

,19985. H. Zirin (Astrophysics of the Sun, Cambridge Univ Press, 19986. S K Alurka Solar and Interplanetary disturbances, , World Science, (1996),7. A Bhatnagar and W Livingston Fundamentals of Solar Astronomy, WorldScience, vol6.

(2005)8.C.D Murray and S F Dermott Solar System dynamics, Cambridge University Press.(1999)



ICE 608.2: ROBOTICS AND AUTOMATION [3 0 0 3]Basic Concepts: Definition and origin of robotics different types of robotics variousgenerations of robots degrees of freedom Asimovs laws of robotics dynamic stabilization ofrobots.

Power Sources and Sensors: Hydraulic, pneumatic and electric drives determination of HP ofmotor and gearing ratio variable speed arrangements path determination micro machines inrobotics machine vision ranging laser acoustic magnetic, fiber optic and tactile sensors.

Manipulators, Actuators and Grippers: Construction of manipulators manipulator dynamicsand force control electronic and pneumatic manipulator control circuits end effectors Uvarious types of grippers design considerations.Kinematics and Path Planning: Solution of inverse kinematics problem multiple solutionjacobian work envelop hill climbing techniques robot programming languages.

Case Studies:Multiple robots machine interface robots in manufacturing and non-manufacturing applications robot cell design selection of robot.REFERENCE:1. Mikell P. Weiss G.M., Nagel R.N., Odraj N.G Industrial Robotics, McGraw-Hill

Singapore. 19962. Ghosh Control in Robotics and Automation: Sensor Based Integration, Allied Publishers,

Chennai.19983. Deb.S.R)- Robotics technology and flexible Automation, John Wiley, USA. 19924. Asfahl C.R.)- Robots and manufacturing Automation, John Wiley, USA. 19925. Klafter R.D., Chimielewski T.A., Negin M Robotic Engineering An integrated approach,

Prentice Hall of India, New Delhi. 19946. Mc Kerrow P.J. Introduction to Robotics, Addison Wesley, USA. 19917. Issac Asimov I Robot Ballantine Books, New York. 1986



ICE 608.3: HYBRID DYNAMICAL SYSTEMS [3 0 0 3]Dynamical Systems:linear versus nonlinear systems, solutions of nonlinear dynamical systems, center manifold andnormal form theory for nonlinear dynamical systems, lagrangian and Hamiltonian systems,bifurcation theory.Introduction to Hybrid systems:Literature of Hybrid systems, Notations and basic concepts, Finite Automata and Discretedynamics, Differential Equations and Continues Dynamics, Set valued Maps and DifferentialInclusions.Hybrid Dynamical Systems:Hybrid time sets and trajectories, Autonomous Hybrid Automata, Local Existence andUniqueness, Global Existence, Examples of Hybrid Dynamical systems.Modeling of Hybrid Systems:Continuous and Symbolic Dynamics, Hybrid Automaton, Features of hybrid dynamics, Generalhybrid automaton, Hybrid time evolution and hybrid behavior, Event-flow formulas.

]Complementarity Systems:Examples of Complementarity systems, Existence and Uniqueness of solutions, Mode selectionproblem, Linear complementarity systems, Mechanical Complementarity systems, Relay systems.

Analysis and Control of Hybrid Systems:Correctness and reachability, Stability, Safety and Guarantee properties, Switching control, PWMcontrol, sliding mode control, Hybrid feedback stabilization.REFERENCE:1. Arjan -van der Schaft, Hans Schumacher An Introduction to Hybrid Dynamical Systems,

Springer-2000.2. Andrzej Indrezejczak ,Natural deduction, hybrid systems and modallogics, Springer, ISBN

978-90-481-8784-3, 2010.3. Robert L Grossman, Anil Nerode, Anders P Ravn, Hans Rischel Hybrid Systems, , Springer,

ISBN 3-540-57318-6, 1993.4. Paulo Tabuada Verification and Control of Hybrid Systems, A Symbolic Approach, , Springer,

ISBN 978-1-4419-0223-8, 2009.



ICE 608.4: SPHERICAL ASTRONOMY [3 0 0 3]Preliminaries: Spherical trigonometry: definitions, fundamental formulae and right angledtrianglesCellestial sphere: System of co-ordinates, Rising and setting of stars, Rate of change of Zenithand Azimuth, Motion of sun, Twlight, Dip of horizonRefraction: Laws of refraction, Refraction of a star near the zenith, Cassinis and Simpson

Hypothesis, Effect of refractionMeridian Circle: Definition, General Description and method of using

Keplers Laws of Planetary Motion: Derivation, various relations and Keplers problems.

Time: Definitions, The mean sun Equation of time, Seasons, cause of seasons and length ofseasons.Planetary Motion and Phenomena: Heliocentric longitude and latitudes, Conjunction, Synodicand orbital period, Direct and Retrograde motion, geocentric motion of planetElongation of a planet, Phase of moon and Maximum brightness.

Aberration, Precession and Nutation, Parallex, EclipsesREFERENCE:1. Robin M. Green, Spherical Astronomy, Cambridge University Press, 1985,2. William M. Smart, edited by Robin M. Green, Textbook on Spherical Astronomy, , CambridgeUniversity Press. 1977.3. M.L. Khanna, Spherical Astronomy, Jai Prakash Nath & Co.



ICE 610.1: PC BASED INSTRUMENTATION [3 0 0 3]

Introduction:Generalized Instrumentation system, Measurement systems, control system, Features of personalcomputers, PC_Based Instrumentation Systems, Data Acquisition systems, PC interfaces. SignalConditioning and Op Amp circuits.Sensors and ActuatorsTemperature sensor, Displacement Sensors, Pressure Sensors, Flow sensors, Actuators.Principles of Data acquisition and InterfacingSampling concepts, D/A converter, A/D converters, Data Acquisition Configurations, ExpansionBuses, Parallel port, Plug-in Boards, Data Acquisition using GPIB, Data Acquisition serialinterfaces, Network Data Acquisition.Application Examples in Measurement and ControlPC based data - Acquisition systems - Industrial process measurements, like flow temperature,pressure, and level PC based instruments development system.

REFERENCE:1. Ahson, S.I. Microprocessors with applications in process control, Tata McGraw-Hill

Publishing Company Limited,19842. George Barney C. Intelligent Instrumentation, Prentice Hall of India Pvt. Ltd., 19983. Krishna Kanth Computer based industrial control, Prentice Hall. 19974. Sergio Franco, Design with operational amplifiers and analog integrated circutis, TATA

McGraw-Hill20025. S. K. Singh, Industrial Instrumentation and Control, TATA McGraw-Hill. 20046. N. Mathivanan, PC-Based Instrumentation, PHI, 2009



ICE 610.2: VLSI DESIGN [3 0 0 3]

Overview of VLSI Design Methodology: The VLSI design process, Architecturaldesign, logical design, Physical design, layout styles, Full custom, Semi customapproaches, Basic electrical properties of MOS and CMOS circuits, Ids verses Vdsrelationship, Trans conductance, pass transistor, nMOS inverter, Determination of pullup to pull down ratio for an n MOS inverter, The CMOS inverter, MOS transistor circuitmode.VLSI Fabrication Technology: An overview of wafer fabrication, wafer processingoxidation, Pattering, Diffusion, Ion implantation, Deposition, Silicon gate nMOS process,n well CMOS process, p well CMOS process, Twintub process, Silicon on insulator.MOS And CMOS Circuit Design Process: MOS layers, stick diagrams, nMOS designstyle, CMOS design style, Design rules and layout, Lambda based design rules, Contactcuts, Double metal MOS process rules, CMOS lambda based design rules, Sheetresistance, Inverter delay, Driving large capacitive loads, Wiring capacitance.Subsystem Design: Switch logic, pass transistor and transmission gates, Gate logicinverter, Two input NAND gate NOR gate, other forms of COMs logic Dynamic CMOSlogic Clocked CMOS logic, CMOS domain logic, simple combinational logic designexample, Parity generator, Multiplexers.Architecture level synthesis: Introduction, circuit specifications for architecturalsynthesis, the fundamental architectural synthesis problems, area and performanceestimation, Scheduling algorithm Introduction, model for the scheduling problems,scheduling with and without resource constraints.Digital systems design using programmable logic devices: Introduction to PLDs,Field programmable gate arrays, classification of FPGAs, technology mapping forFPGAs, Case studies.Simulation & Testing: Introduction to High level simulation, Logic simulation, Circuitsimulation, Silicon compitation, Introduction to testing, test pattern generation, faultmodels, test generation methodology.

REFERENCE:1. Douglas, A, Pucknell and Kamran, E, Shraghian, Basic VLSI Design, (3e)

Prentice Hall of India,19942. Givoanni De Micheli Synthesis and Optimization of Digital Circuits. 20053. Neil Weste and Kamran Esh Raghian CMOS VLSI Design Systems

Perspective. 20054. Eugene D. Fabricius Introduction to VLSI Design. 19905. Sung- Mo (Steve) Kang and Yusuf Leblebici CMOS Digital Integrated Circuits,

Analysis and Design, Tata McGraw- Hill. 20066. C. Mead and L. Conway Introduction to VLSI System. 19907. Wayne Wolf Modern VLSI Design System on Chip Designing Third Edition

Pearson Education Asia. 2000



ICE 610.3: REMOTE SENSING AND GEOGRAPHICAL INFORMATIONSYSTEMS [3 0 0 3]

Remote SensingAerial photography and photogrammetry: basic principles, photographic systems, visualinterpretation and mapping. Ground truth verification radiometer and its application.

Basic concepts of remote sensing: Idealized remote sensing system. Physics of remotesensing, electromagnetic spectrum, black body concept, atmospheric windows, geometryof scanners, CCD arrays and platforms, history of space imaging characteristics of spaceplatform like LANDSAT, SPOT, IRS, etc. Characteristics of sensors like MSS, TM,LISS I and LISS II. Outputs from various sensors.Classification of digital data and information: Supervised, unsupervised.

Extractionprocedure for different applications and terrain evaluation. Thematicinterpretation, transfer of interpreted thematic information to base map. Groundverification.Application of remote sensing: Civil Engineering, Earth Science, Forestry, Agriculture,Oceanography, Fisheries, Water resources, Town planning and land use/land covermapping.Geographic Information System

Introduction: Map and use of maps through time, thematic and multiple theme maps,Development of GIS as an introduction and decision making systemAn Overview of GIS: Definition, Objectives and basic concepts, Contributing disciplinesand technologies.Digital Representation of Geographic Data: Technical issues related to digitalrepresentation of geographic data, Data quality and standards, Assessment of data quality,Managing spatial errors, Data standards and GIS development.Components of GIS: Computer hardware, peripherals and softwareIntegration of Remote Sensing and GIS: Extracting metric information from Remotely

Sensed images, Extracting thematic information from Remotely Sensed images,Integration of information from remote sensing in GIS .GIS application areas.



REFERENCE:1. Paul R Wolf , Elements of photogrammetry - Mc Graw-Hill2. Lille sand & Kiefer, Remote sensing and image interpretation, John Wiley and Sons3. Floyd F. Sabins Remote sensing principles and interpretation - - WH Freeman &

Co.4. John R Jensen, Introductory digital image processing - - Prentice Hall5. George Joseph, Fundamentals of Remote Sensing- -Universities Press-Technical6. L R A Narayan Remote Sensing and its Applications- - Universities Press-Science/Reference7. M. Anji Reddy, Remote Sensing and Geographic information systems BSPublishers.



ICE 610.4: SPACE ENVIRONMENT AND SYSTEM DEGRADATION IN SPACE[3 0 0 3]

Introduction. Spacecraft Subsystem Design, Orbital Mechanics, The Solar-PlanetaryRelationship, Space Weather.The Vacuum Environment. Basic Description Pressure vs. Altitude, Solar UVRadiation.Vacuum Environment Effects. Solar UV Degradation, Molecular Contamination,

Particulate Contamination.The Neutral Environment. Basic Atmospheric Physics, Elementary Kinetic Theory,Hydrostatic Equilibrium, Neutral Atmospheric Models.Neutral Environment Effects. Aerodynamic Drag, Sputtering, Atomic Oxygen Attack,Spacecraft Glow.The Plasma Environment. Basic Plasma Physics - Single Particle Motion, DebyeShielding, Plasma Oscillations.Plasma Environment Effects. Spacecraft Charging, Arc DischargingThe Radiation Environment. Basic Radiation Physics, Stopping Charged Particles,Stopping Energetic Photons, Stopping NeutronsRadiation in Space. Trapped Radiation Belts, Solar Proton Events, Galactic CosmicRays, Hostile Environments.Radiation Environment Effects. Total Dose Effects - Solar Cell Degradation,Electronics Degradation; Single Event Effects - Upset, Latchup, Burnout; Dose RateEffects.The Micrometeoroid and Orbital Debris Environment. Hypervelocity Impact Physics,Micrometeoroids, Orbital Debris.REFERENCE:1. Marshall H Kaplan Modern spacecraft dynamics and control, Willy&johns2. P.W. Fortescue & J P W Stark, Spacecraft Systems Engineering, Wiley.



ICE 610.5: ADVANCED VIRTUAL INSTRUMENTATION [3 0 0 3]

Introduction to LabVIEW: Software environment, front panel, block diagram, palettes,loops, structures and tunnels, arrays, clusters, plotting data.Modular Programming: Modular programming in LabVIEW, creating an icon, buildinga connector pane, displaying subVIs and express Vis as icons or expandable nodes,creating subVIs from sections of VIs,opening and editing subVIs, placing subVIs onblock diagrams, creating stand alone applications.Strings and File I/O: creating string controls and indicators, string functions, editing,formatting and parsing strings, configuring string controls and indicators, basics of fileinput/output, file I/O VIs.Instrument Control: GPIB communication, hardware and software architecture andspecifications, instrument I/O assistant, VISA, Instrument Drivers, Serial Portcommunications.Data Acquisition: Transducers, signal conditioning, DAQ hardware configuration, DAQhardware, Analogy I/O, Counters, Digital I/O, DAQ assistant, selecting and configuring adata acquisition device.IMAQ Vision: Vision basics, image processing and analysis, particle analysis, machinevision, machine vision hardware and software, building a complete machine visionsystem.Text Books:1. Jerome, PHI Virtual Instrumentation using LabVIEW, Jovitha, ISBN 978-81-203-

40305, 2010.2. Gary Johnson - Labview Graphical Programming, Second edition, McGraw Hill.

1997



ICE 612.1: COMPUTATIONAL TECQHINUES AND OPTIMIZATION [4 0 0 4]

Solution of algebraic and transcendental equations: Zeros of a function, Successivebisection method, Regula-Falsi method, Secant method and Successive approximationmethod, Simultaneous equations: Gauss elimination method, Gause-Jordan method,Relaxation method, LU decomposition method, numerical solution by Gauss-Jacobimethod, Gause-Seidel method.Interpolation and curve Fitting: Lagrange interpolation, Newtons divided differenceinterpolating polynomial, Newton-Gregory forward and backward interpolatingpolynomial, Cubic splines. Lease square approximation of functions, Linear andPolynomial regression, power exponential, parabolic, hyperbolic and sinusoidal curvefitting, multiple linear regression.Evaluation of definite integrals: Newton-Cotes formula, Trapezoidal rule, Simpsons1/3 rule & 3/8 rule, Weddles Error analysis, evaluation of double integrals.Numerical solution of differential equations: Eulers method, Picards method,Predictor-Corrector method, Runge-Kutta Second and Fourth order equations.Linear programming: Standard form of linear programming problem, Geometry ofL.P.P., Graphical solution, Simplex algorithm, Big-M method, Two phase method.

Non linear programming: Single-Dimensional minimization methods: Unimodalfunction, three interval search method, Fibonacci method, Golden mean search method.Unconstrained Optimization Techniques, Descent Methods: Steepest Descent method,Conjugate gradient method, Quasi Newton method. Constrained OptimizationTechniques, Interior and exterior penalty methods.Linear and Nonlinear Optimization: Necessary and sufficient conditions foroptima; convex analyisis; unconstrained optimization; descent methods; steepestdescent, Newtons method, quasi Newton methods, conjugate direction methods;constrained optimization; Kuhn-Tucker conditions, Quadratic programming problems;algorithms for constrained optimization; gradient projection method, penalty and barrierfunction methods, Linear programming, simplex methods; duality in optimization, dualsof linear and quadratic programming problems.

REFERENCE:1. Krishnamurthy E.V. and Sen S.K. Numerical Algorithms: Computations in

Science & Engg., Affiliated East-West Press, 19932. S.S. Rao - Optimization Theory and Applications, Wiley Eastern Limited, New

Delhi. 19913. Schaums Series Operation Research, Tata Mcgraw Hill. 19974. S.S. Sastry Introductory Methods in Numerical Analysis PHI. 19945. Gerald and Wheatley Applied Numerical Analysis, PHI. 2005



6. E. Kreyzig Advanced Engineering MathematicsJohn Wiley. 19997. Luenberger D.G. Introduction to Linear and Nonlinear Programming, (2e)

Addison Wesley. 19849. Fletcher R. Practical methods of Optimization, John Wiley. 1980



ICE 612.2- ROBUST CONTROL [4 0 0 4]

Introduction and Review, The sources of Model Uncertainties, The Robustness of SISOSystems, Robust Multivariable Control Systems , Mathematical Tools in RobustnessStudies, Matrix Decompositions; Norms, Multivariate Optimization MethodsComputer Aided Design and Analysis Software, Matrix Fractions Factorization, TheAnalysis of Robust Control Systems, Mathematical Representation - A Canonical Form,Stability Robustness, Performance RobustnessParametric Uncertainties, Critical Perturbation Radius (CPR) Theory, Applications ofCPR theory to SISO and MIMO systemsThe Design of Robust Control Systems, MPDA and the Characteristic Locus DesignMethod, The Q-Parametrization, Introduction to H-infinity Optimal Control, Introductionto -synthesis

Advanced methods of control system analysis and design. Operator approaches tooptimal control, including LQR, LQG, and L1 optimization techniques. Robust controltheory including QFT, H-infinity, and interval polynomial approaches, ResearchDirectionsREFERENCE:

1. Kemin Zhou, with John Doyle, Essentials of Robust Control, Prentice-Hall,1998.

2. Skogestad S., Postlethwaite I. Multivariable Feedback Control: Analysis &Design, (2e), 2005.

3. John.C.Doyle, Feedback Control Theory Macmillan, 1992.



ICE 614: PC INSTRUMENTATION LABORATORY [0 0 6 2]I Cycle:1. Design and simulation of PID controller for Temperature process station.2. To acquire and display a continuously changing physical variable in the system using Lab

View/Mat lab/ Custom software.3. Program to implement online data processing and data logging.4. Experimentation of a Multi process Trainer.5. To implement discrete control strategy using both analog and digital Siemens PLC.6. To study on the interface of PLC with PC for data acquisition applications.7. To develop stand alone executable signal conditioning files as library files in Lab View/Mat

lab.8. Experimentation of Control loops for Inverted Pendulum.9. Implementation of Digital PID Controller.10. Signal Conditioning Circuit for Temperature Measurement.11. System Identification by the Method of Approximation.12. Controller tuning by Frequency domain analysis.II Cycle:13. To analyse the stability of a level control system with time delay in frequency domain

analysis.14. To auto tune a PID controller using a relay switch method for process control systems15. To study the phenomenon of the reset windup and to compensate it with anti reset windup

technique for a first order process.16. To analyse the stability of the discrete control system and to compare it with the continuous

control system using IMC.17. To study the robustness of the simple first order time delay process with frequency response

analysis.18. Design and simulation of split range controller.19. Computer calibration of temperature and pressure measuring instruments20. Design and simulation of cascade controller.21. Experimental Study of DCS and SCADA in a process control system.22. To study the action of ON/OFF, P, PI, PID control for pressure process station.23. Stability analysis of process control systems.24. Study of performance and automation of a flexible manufacturing trainer.Text Books:1. Curtis D. Johnson Microprocessors in Process Control, PHI. 19932. George Stephanopoulos Chemical Process Control. 20053. Coughner Process Analysis & Control, Tata Mcgraw Hill. 1991



ICE 634: SPACE ENGINEERING LAB [0 0 3 1]

1. To design a robust controller for a Ball and Beam system.2. Modeling and Control of magnetic levitation system.3. Full flight simulator study for wake vortex hazard area investigation.4. Experimental study of vertical flight path mode awareness.5. Twin rotor MIMO system6. Kepler Laws of Planetary Motion and Newton's Law of Gravitation.7. Space orbits and Lagrange points8. Design, Analyze and Simulate Spacecraft systems9. Experiment in Spacecraft design and diagnosis.10. Attitude control of spacecraft.11. Motion control experiment using Dspace card12. To study real time data acquisition and controller system and its related issues using

Dspace card.



SECOND YEAR

ICE 699: PROJECT WORKCREDIT: 25

The project work is carried out in the institution/industry/research laboratory orany other competent institutions.

The duration of project work should be a minimum of ten months (40 weeks). There will be a mid-semester evaluation of the project work done after about five

months. An interim project report is to be submitted to the department during themid-semester evaluation. The mid-semester evaluation will be done by thedepartment /project guides and will be out of 100 marks.

Each student has to submit to the department a project report in proper formatafter completing the work. The final evaluation and viva-voce will be aftersubmission of the report.

Each student has to make a presentation on the work carried out, before thedepartmental committee for project evaluation, using OHP/multi-mediaprojectors. The end semester evaluation will be done by the departmentalcommittee including the guides. The final evaluation will be out of 300 marks,the break-up which is as follows:

Project work evaluation (end semester evaluation): 200 marksProject work evaluation (mid semester evaluation): 100 marks

Viva-voce: 100 marksTotal marks for the project work: 400 marks.



M.TECH (INSTRUMENTATION CONTROL SYSTEMS)SYLLABUS

DEPARTMENT OF INSTRUMENTATION AND CONTROL ENGINEERINGMANIPAL INSTITUTE OF TECHNOLOGY, MANIPAL 576 104

KARNATAKA



2010

M.Tech Control Systems syllabi MANIPAL UNIVERSITY

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Transcript of M.Tech Control Systems syllabi MANIPAL UNIVERSITY