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Fuzzy neural controller - prvn st.

Anotace z databze Elsevier. Vce rznch vstup pi zadn rzn kombinace klovchslov.

Doplnno nkolika plnmi texty z datovch sklad americkch universit.

GA-based fuzzy neural controller design for municipal incinerators

Source Fuzzy Sets and SystemsarchiveVolume 129 , Issue 3 (August 2002)table of contentsControl and applicationsPages: 343 - 369Year of Publication: 2002ISSN:0165-0114

Authors W. C. Chen Department of Environmental Engineering, National Cheng-Kung University, 1University Road, Tainan 70101, Taiwan, ROC

Ni-Bin ChangDepartment of Environmental Engineering, National Cheng-Kung University, 1

University Road, Tainan 70101, Taiwan, ROCJeng-ChungChen

Department of Environmental Engineering, National Cheng-Kung University, 1University Road, Tainan 70101, Taiwan, ROC

Publisher Elsevier North-Holland, Inc. Amsterdam, The Netherlands, The Netherlands

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DOI Bookmark: 10.1016/S0165-0114(01)00205-6

ABSTRACT

The successful operation of mass burn municipal incinerators for solid wastemanagement involves many uncertain factors. Not only the physical

composition and chemical property of waste streams but also the complexityof combustion mechanism would significantly influence the performance ofwaste incineration. Due to the rising concerns of dioxin/furan emissions fromthose incineration facilities in the metropolitan region, the applications offuzzy control technologies for reducing the operational risks have graduallyreceived wide attention in the scientific community. Recent advances ofintelligent combustion control (ICC) technologies indicate that hybrid fuzzycontrol schemes, integrating some ideas and paradigms existing in differentsoft computing approaches, may provide more reliable control performance ofcombustion process. The proposed integrated methodology, using geneticalgorithms and neural networks as tools to aid in fuzzy logic control, thereforeemploys a three-stage analysis. It applies three soft computing approachessimultaneously for generating a representative state function, searching for a

set of multi-objective control strategies, and auto-tuning the fuzzy control rulebase for use in the case study. The findings from this research clearly indicate
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that the control performance at least in three types of municipal incinerators(i.e., patented stokers are Takuma, Volund, and Martin) is greatly enhancedvia the use of ICC technologies. By using this integrated methodology, thecase study not only verifies the applicability and suitability for controllingmunicipal incinerators but also presents application potentials for controlling

many other types of industrial incinerators, such as modular, rotary kiln, andfluidized bed incinerators.

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INDEX TERMS

Primary Classification:I.Computing Methodologies

I.2ARTIFICIAL INTELLIGENCE

I.2.8Problem Solving, Control Methods, and Search

Subjects:Control theory

Additional Classification:F.Theory of Computation

F.1COMPUTATION BY ABSTRACT DEVICES

F.1.1Models of Computation

Subjects:Self-modifying machines (e.g., neural networks)

J.Computer Applications

J.7COMPUTERS IN OTHER SYSTEMS

Subjects:Industrial control

General Terms:Algorithms, Design, Experimentation,Theory

Keywords:control, fuzzy sets, genetic algorithm, neural network

Collaborative Colleagues:Ni-Bin Chang: Jeng-Chung Chen

W. C. ChenY. L. ChenS. F. WangY. L. Wei

Jeng-Chung Chen: Ni-Bin ChangMing-Syan ChenW. C. ChenPhilip S. Yu

W. C. Chen: Ni-Bin ChangJeng-Chung Chen
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5/70

Fuzzy Sets and Systems archive

Volume 129 , Issue 3 (August 2002) Control and applications citation

Table of Contents

Semiglobal stabilization of nonlinear systems using fuzzy control and singularperturbation methodsC. I. Siettos, G. V. BafasPages: 275 - 294

Additional Information: full citation, abstract, references,index terms

Generalization of stability criterion for Takagi--Sugeno continuous fuzzy modelFernando Mata, Basil M. Al-Hadithi, Agustn JimnezPages: 295 - 309Additional Information: full citation, abstract, references,index terms

Analytical structures and analysis of fuzzy PD controllers with multifuzzy sets havingvariable cross-point levelAmbalal V. PatelPages: 311 - 334Additional Information: full citation, abstract, references,index terms

Decoupled fuzzy controller design with single-input fuzzy logic

Shi-Yuan Chen, Fang-Ming Yu, Hung-Yuan ChungPages: 335 - 342Additional Information: full citation, abstract, references,index terms

GA-based fuzzy neural controller design for municipal incineratorsW. C. Chen, Ni-Bin Chang, Jeng-Chung ChenPages: 343 - 369Additional Information: full citation, abstract, references,index terms

Combined fuzzy logic and genetic algorithm techniques-application to an electromagneticfield problemI. G. Damousis, K. J. Satsios, D. P. Labridis, P. S. DokopoulosPages: 371 - 386Additional Information: full citation, abstract, references,index terms

Application of fuzzy set theory to the change intervals at a signalized intersectionK. Y. Kuo, J. LinPages: 387 - 403Additional Information: full citation, abstract, references,index terms

Recent literatureDidier Dubois, Henri Prade, Salvatore SessaPages: 405 - 413Additional Information: full citation, index terms

A complete fuzzy decision tree techniqueCristina Olaru, Louis WehenkelPages: 221 - 254Additional Information: full citation, abstract, references,index terms
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Notes on the approximation rate of fuzzy KH interpolatorsDomonkos TikkPages: 441 - 453Additional Information: full citation, abstract, references,index terms

1. Advanced Fuzzy-Neural Control 2001Book, 2002, by P. Albertos
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Title:Advanced Fuzzy-Neural Control 2001 View all information about this product

Description:...engineering areas. Fuzzy systems, neural networks, genetic algorithms...with

approximate knowledge. Fuzzy logic controllers are undoubtedly one ofthe...summarises ideas and conclusions on fuzzy logic controllers from the expertsattending...

Book: Table of contents...systems with fuzzy DMC controllers (P. Marusak...using neuro-fuzzymodeling...decentralized neural-network sliding-mode robot controller(R.Safaric...multivariable neural predictive...heuristic-based fuzzy logiccontrollers? foundations...

2. Artificial Intelligence in Real-Time Control 2000Book, 2001, by I.J. Rudas

Title:Artificial

Intelligencein Real-

Time

Control2000

View all information about this product

Book: Table of contents...generalised neural networks...of local controller networks/Takagi-Sugeno fuzzycontrollers...generating fuzzy-neuralcontroller (I. Petrovic...support vector neuralnetworks...placement controller design based on fuzzy process model...

3. Robot Control 2000 (SYROCO'00) (2-volume set)Book, 2001, by P. Kopacek

Editor:P. Kopacek , Institute for Handling Devices and Robotics, Vienna University of Technology,Favoritenstr, Vienna, Austria

DescriptionThis Proceedings contains the papers presented at the sixth IFAC Symposium on "RobotControl 2000 - SYROCO 00", held in Vienna, Austria, on 21- 23 September 2000.The contributions cover the whole field of robot control starting with the classical subjects like

non-linear, robust and hybrid control, force and tracking control, modelling and identification,simulation and education, neutral and fizzy control. But new robot applications require newrobot concepts and new control tasks. In consequence most of the contributions deal withmobile, intelligent robots and multiple robot systems but also new applications likedisassembly. One of the fastest growing fields in the last three years is development andcontrol of robots for entertainment, leisure and hobby.In four survey papers the state of the art in robot control and further developing trends wereemphasised. Because the field of robotics is growing up today in smaller countries twopresentations deal with robots in Brazil and Macedonia. The very important field of sensorfusion and an industrial view of future developments in robot control were also topics ofsurvey papers.

Audience

For manufacturing engineers, design engineers, product development teams, controlengineers, computer scientists and robotics engineers.
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Contents

Section Headings.

Survey Papers.Sensor Fusion (J. Sasiadek). MANET: Brazilian Cooperative Research Network onManufacturing (J.R. Silva et al.). IDA - Interface for Distributed Automation Standardization ofthe Automation Network (P. Klger). Research in Robotics and Flexible Automation: What Maybe Feasible in Small Developing Countries? (G.M. Dimirovski).

Control.Fault Detection and Isolation for Mechanical Manipulators via Luenberger Observers (M.H.Terra et al.). Special Control Features of Manipulative Systems with Unsteady Base (Y.P.Kondratenko, G.V. Kondratenko). PI Disturbance Estimator In Position Control of Direct DriveRobot (A. Rojko, K. Jezernik). Robot Fine-Motion Control (J. Warczyski). Sliding Modes withContinuous Controllers for Robot Manipulators: Theory and Experiments (V. Parra-Vega et

al.). Adaptive Impedance Control for a Bilateral Robot Teleoperation System (J.F. Postigo, R.Carelli). Using Redundancy to Perform a Vision-Based Task Amidst Obstacles (V. Cadenat etal.). Tracking Robust Impedance Robot Control with Visual Feedback (V. Mut et al.).

Nonlinear Control.

Nonlinear PID Predictive Control of Robotic Manipulators (W.-H. Chen). Extensions ofNonlinear Control Concept to Object Manipulation with Finger Relocation (I. Harmati et al.).Nonlinear Position Control By Using Multiple Position-Dependent Self-Organizing Fuzzy LogicControllers (Z. Kovacic et al.).

Robust and Hybrid Control.Robust Position Control of Mechanical Manipulators (R.V.B. Henriques, J.J. da Cruz). RobustMotion Control Algorithm for Direct Drive Robot. (A. Hace, K. Jezernik). Fault Tolerant Control

Of Mechanical Manipulators: A Hybrid Systems Approach (M. Bergerman et al.).

Neural And Fuzzy Control.Fuzzy Adaptation and Free-Space Attraction for Mobile Robot Navigation (L. McFetridge, M.Y.Ibrahim). Fuzzy Collision Avoidance using Stereo-Vision (A. Bischoff, M. Gerke). NeuralNetworks in the Control of a Mobile Platform (V.M. De Oliveira et al.). Centralized Neural-Network Sliding-Mode Direct-Drive Robot Controller (R.afari, K. Jezernik). Velocity andTorque Feedback Control of a Nonholonomic Mobile Robot using Fuzzy-Neural Networks (A.Pajaziti et al.).

End Effectors.Contact Identification for Robotic Assembly Tasks with Uncertainty (J. Rosellet al.). Principleof Superposition for Controlling Pinch Motions by Means of Robot Fingers with Soft Tips (S.

Arimotoet al.). Development and Control of Touch and Force Display Devices for HapticInterface (T. Yoshikawa, A. Nagura).

Force and Tracking Control.Robot Force Control Experiments in Non-Rigid Environments (L.F. Baptista, J.M.G. S DaCosta). Finite-Time Tracking For Robot Manipulators with Continuous Control (V. Parra-Vega,G. Hirzinger). On-Line Reconfiguration of Real-Time Robot Motion and Force Control (A.Robertsson et al.). Behavioural Modules in Force Control of Robotic Manipulators (T.G.Williams, N.W. Hardy). Kinematic Control of Redundant Manipulators with On-Line End-Effector Path Tracking Capability Under Velocity and Acceleration Constraints (G. Antonelli etal.).

Sensor-Based Control.Visual Servoing of Fully Actuated Mobile Robots with Significant Dynamics (R.Mahony, T.Hamel). Real-Time Virtual Sensors (E. Armstrong, N. Hardy). Advanced Control Strategy For


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The Visual Servoing Scheme (S. Tarbouriech, P. Soures). Comparison of Prediction Methodsfor Vision-Based Control of Motion (S. Chroust, M. Vincze). Absolute Precision Improvement ofan Industrial Six-Axis Robot with Cameras (M. Coudurier et al.). Structuring of Merged RobotVision and Automated Visual Inspection Tasks (Th. Borangiu, N. Ivanescu). 2D VisualServoing on Complex Shapes Based on a Polar Description (C. Collewet et al.).

Control Of Multiple Robots.Spatial Impedance Control in Coordinated Manipulation (A. Fargas-Marqes et al.). RobotsOptimal Placement for Cooperatively Manipulation (R. Costa-Castell, L. Basaez). Dwell TimeSwitching Control For Cooperative Work of Two Mobile Manipulators (M. Sano et al.). Real-Time Co-Ordination of Multiple Robots with Temporal Uncertainty (G. Raush, R. Surez). OnMotion Planning for Robotic Manipulation with Rolling Contacts (B. Kiss et al.). AdaptiveCoordinated Control of Multiple Robot Arms (H. Kawasaki et al.). Object Reconfiguration withMultiple Robotic Arms Using an Additional Static Contact Surface (G. Vass et al.).

Modeling And Identification.Modeling of Flexible Manipulators for Control Design (J. Martins et al.). Determination ofDynamic Parameters of Robots by Base Sensor Measurements (M. Grotjahn, B. Heimann).Experiments on Model Identification and Control of an Industrial Robot Manipulator (A. Visioli,

G. Legnani). Mathematical Model of a Skid-Steered Mobile Robot (F. olc et al.).

Redundant Robots.Chaotic Behavior in the Pseudoinverse Control of Redundant and Hyper-Redundant Robots(F.B.M. Duarte, J.A.T. Machado). Hyper Redundant Manipulator Using Compound Three-BarLinkages (K. Koganezawa, T. Kinoshita).

Flexible Structures.Direct and Fuzzy Control of a Two-Link Flexible Robot Manipulator (A. Green, J.Z. Sasiadek).End-Effector Motion Planning for One-Link Flexible Robot (M. Benosman, G. Le Vey). AccurateTrajectory Tracking of Flexible Arm End-Point (M. Benosman, G. Le Vey). Iterative LearningControl Of A Flexible Mechanical System using Accelerometers (S. Gunnarsson, M. Norrlof).Sliding Mode Tracking Control for a Single-Link Flexible Robot Arm (D. Hisseine, B. Lohmann).

Mobile Robots.The Effects of Real-Time Scheduling in Multirate Digital Control (L. Palopoli et al.). Docking-Procedure for a Non-Holonomic Mobile Platform Based on Visual Servoing (T. Lietmann, B.Lohmann). Stabilization of the Extended Nonholonomic Double Integrator via Logic-BasedHybrid Control (A.P. Aguiar, A. Pascoal). A "Tool Kit" for Intelligent, Mobile Robots (N.Chivarov et al.). Dead-Reckoning for a Wheeled Mobile Robot on Curved Surfaces (J.H. Kim).Range-Data Based Position Localization and Refinement for a Mobile Robot (B. Chmela etal.). Model Creation For Mobile Robots Using 2-D Data And Features (A. Barta).Microprocessor Based Mobile Robot Control System (V. Kak, M. Pokorn).

Path Planning Of Mobile Robots.

Localization Of Mobile Robots In Environments with Non-Smooth Geometry (F.M. Antoniali, G.Oriolo). A Case-Based Approach to Indoor Navigation Using Sonar Maps (A. Micarelli et al.).An Experimental Comparison of Redundancy Resolution Schemes (A. Bettini et al.). BuildingGlobally Consistent Gridmaps From Topologies (T. Duckett, A. Saffiotti). Odometry and SonarData Fusion for Mobile Robot Navigation (J.Z. Sasiadek, P. Hartana). An Improved Algorithmfor Finding the Time-Minimal Motion for an AGV in Time Dependent Environments (A.Diamantopoulos et al.). INS/GPS Navigation Data Fusion using Fuzzy Adaptive KalmanFiltering (J.Z. Sasiadek et al.). Mobile Non-Holonomic Robots: On Trajectory Generation andObstacle Avoidance (G.M. Dimirovski).

Modeling And Control Of Mobile Robots.Robust Control of a Mobile Robot Subject to Skidding Effects: A Sliding-Mode Controller Usingthe Kinematic Model and Its Experimental Testing (M.L. Corradini et al.). PracticalImplementation of a Hamiltonian-Based Controller for a 2-DOF Platform (F. Gmez-Esternetal.). Modeling and Control of Mobile Manipulators (I. Duleba).


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Walking Robots.Hybrid Position/Force Algorithms for Biped Locomotion (F.M. Silva, J.A.T. Machado). ControllerDesign for a Biped Jogging Robot (K. Lffler et al.). Analysis of Consumption of Energy onBiped Robot (A. Torige, Y. Shimomoto). Climbing Parallel Robots Morphologies (R. Aracil etal.).

Applications.A Model Based ILC Method Applied to a Commercial Industrial Robot (M. Norrlf, S.Gunnarsson). A Force Referenced Bilateral Control Scheme for Heavy-Duty PowerManipulators (S.H. Ahn et al.). Curved Path Following of a Farm Tractor using a CP-DGPS (L.Cordesses et al.). Assortment of Materials Due to Visual Characteristics by a Robotic Arm (E.Uyar, . Ernver).

Underwater Robots.Control of Underwater Vehicle-Manipulator Systems using only Position and OrientationMeasurements (G. Antonelli et al.). Path Following for Marine Vehicles in the Presence ofUnknown Currents (P. Encarnao et al.). Position/Force Control of an Underwater VehicleEquipped with a Robotic Manipulator (P. Fraisseet al.). Interactive Design of Control Schemes

and Obstacle Avoidance Strategies for UUVS (G. Conte et al.).

Flight Robots.Guidance Control Strategies for an Autonomous Unmanned Airship (J.R. Azinheira et al.).AGPL and GUSTAV Synergy Effects in Mechatronic System Design (B. Steckemetz).Subsystem of Position Measurement of Autonomous Pilotless Flight Means DAW I (B. Horak).

Control Of Entertainment Robots.Robots in Entertainment, Leisure and Hobby: New Tasks for Robot Control (P. Kopacek).Layered Multi-Agent Reactive-Behavior Learning in a Robotic Soccer (A.V. Topalov et al.). ARobot Playing Scrabble Using Visual Feedback (J. Bengtsson et al.).

Simulation And Education.

Simulation of Robot Motions by Kinematic Configuration Control (S. Alfs et al.). RobLib: AnEducational Program for Robotics (N.M.F. Ferreira, J.A.T. Machado). Intelligent Control StationFor A Robot-Tended Adaptive Machine Tool (Th. Borangiu, N. Ivanescu).

Various Aspects.Data Fusion For Visual And Ultrasonic Map-Building (A. Bonci et al.). An Environment forAutonomous Systems Development (J.C.B. De C. Ferreira et al.). Trajectory ProfilerClassification (M. Boric, I. Cohen). Singularities and Mobility of Nonholonomic Systems: TheBall Rolling on a Plane (R. Muszyski, K. Tchn). Manipulability Sub-Ellipsoids (I. Duleba).Stiffness Control of Multiple DOF Tendon-Driven Joint (K. Koganezawa, M. Yamazaki). Self-Correcting Trajectory Planning Using Modified Visibility Graph (A.R. Wolczowski). CartesianControl of Robots with Working-Position Dependent Dynamics (T. Ortmaier, G. Hirzinger). TheDevelopment of a Robot Hand for the Automation of Steel Column Construction (H.-J. Sim,

C.-S. Han). Design of a Hybrid External Structure for a Multi-Fingered Hand (C. Remond etal.). About one Method of Telecontrol by Manipulator (V.F. Filaretov, G.P. Kihney). StructuralRepresentation for Problems of Mechanical Systems Modeling and Synthesis (M.F. Kirichenkoet al.).

Ramsete.Impact Control in Robotics: A Brief Survey (M. Indri). Driving A Servo System With AnImpedance Controller (G. Ferretti et al.). Design of Functional and Algorithmic ControlArchitectures for Multirobot Systems (G. Casalino et al.). Observability and NonlinearObservers for Mobile Robot Localization (F. Conticelli et al.). Real-Time Linux Control of aHaptic Interface for Visually Impaired Persons (A. Macchelli et al.). Impedance Control for aClass of Parallel Robots (F. Caccavale et al.). Intermittent Feedback Strategies for thePredictive Control of a Flexible Link: Experimental Results (M.L. Fravolini et al.). Stabilizationof the Unicycle via Dynamic Feedback Linearization (A. De LUCAet al.). A Stereo Vision BasedDocking Procedure for a Mobile Robot (S. Panzieriet al.). Multisensor Fusion for Mobile Robot


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Positioning and Navigation (A. Martinelli et al.). Author Index.

Bibliographic & ordering InformationPaperback, ISBN: 0-080-43561-0, 730 pages, publication date: 2001Imprint: PERGAMONPrice:Order form

EUR 193GBP 128.50

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4. Fault Detection, Supervision and Safety for Technical Processes 2000 (SAFEPROCESS2000)Book, 2001, by A.M. Edelmayer

Title:Fault

Detection,Supervision

and Safety forTechnical

Processes2000

(SAFEPROCESS2000)

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Book: Table of contents...detection based on fuzzyneural networks - application...radial basis functionneural network (I. Dalmi...Development of a fuzzy-based diagnosis system...fasttakagi-sugeno fuzzy modeling (M. Mnnle...industrial process controllers: anapplication of...

7. Intelligent Components and Instruments for Control Applications 2000Book, 2001, by A.T. Casucci

Included in seriesIFAC Proceedings Volumes,

Click here to view the full contents in pdf format.

DescriptionThis Proceedings contains the papers presented at the IFAC Symposium on IntelligentComponents and Instruments for Control Applications held at Buenos Aires on 13 - 15September 2000.

The scope of the Papers included in this Proceedings provides an insight into the application ofcontrol instruments in a wide variety of situations, from the general to the specific. The maintopics that are embraced by this collection are the teaching of and learning by machines, and

also the self diagnosis of faults and necessary adaptation or correction by machines.Audience
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For scientists, suppliers and users of new intelligent techniques in the fields of sensors,actuators, instruments and their applications in advanced control and measurement systems.

Contents

Section Headings and Selected Papers.

Plenary Paper I.A new class of intelligent sensors for the inner space monitoring of the vehicle of the future(S. Boverie).

Applications I.The impact of an integrated solutions philosophy on control systems at Papelera del PlataPaper Mill (S. Parlapiano).

Buses/Distributed Control I.Verification method of interoperability for real time systems (L. Kaiser et al.).

Plenary Paper II.The research and possible future for fieldbuses (J.-P. Thomesse).

Sensors and Intelligent Instruments I.Virtual intelligent sensors on wide plant control applications: an approach (R. Ferreiro Garcaet al.).

Neural Networks/Fuzzy Control/Modeling I.Generalized predictive control of a nonlinear process using fuzzy model (D. Matko, K. Kavek-Biasizzo).

Robotics I.

World modeling and position estimation for a mobile robot using self-organizing networks (R.Marqus et al.).

Plenary Paper III.Learning and adaptation for intelligent automation (T. Fukuda, Y. Hasegawa).

Theory/Education.Robust model following control system (S. Skoczowski, S. Domek).

Fault Detection and Isolation.Non sinusoidal residual generation for FDI of induction motor (C. Christophe et al.).

Applications II.

Nonlinear model predictive control via feedback linearization of a greenhouse (S. Pin et al.).

Plenary Paper IV.Intelligent use of virtual sensors for control applications (P. Albertos, G.C. Goodwin).

Buses/Distributed Control II.Using IA algorithm to improve consistencies in real-time fieldbus (L.R.H.R. Franco, A.M.Henriques).

Robotics II.A control system modification in the Scorbot-er VII robot controller (J. Prez et al.).

Sensors and Intelligent Instruments II.Safety analysis on reconfigurable systems using an external model of intelligent components


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(C. Choukair, M. Bayart).

Neural Networks/Fuzzy Control/Modeling II.Preliminary studies about the incidence of different inference methods in control variables of afuzzy controlled induction-motor (G. Acosta et al.).

Low Cost Automation.Intelligent DSP-based motion control of a brushless D.C. motor (S. Dumitriu).

Bibliographic & ordering InformationPaperback, ISBN: 0-08-043244-1, 356 pages, publication date: 2001Imprint: PERGAMONPrice:Order formEUR 93USD 93

Books and electronic products are priced in US dollars (USD) and euro (EUR). USD pricesapply world-wide except in Europe and Japan. EUR prices apply in Europe and Japan.

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9. Techniques for Adaptive ControlBook, 2002, by Vance VanDoren

To order this title, and for more information, go tohttp://books.elsevier.com/bookscat/links/details.asp?isbn=0750674954

Edited ByVance VanDoren , Ph.D., P.E., Control Engineering Magazine

Description

Techniques for Adaptive Control compiles chapters from a team of expert contributorsthat allow readers to gain a perspective into a number of different approaches toadaptive control. In order to do this, each contributor provides an overview of aparticular product, how it works, and reasons why a user would want it as well as an indepth explanation of their particular method. This is one of the latest technologies toemerge in the instrumentation and control field. These latest control methodologies offera means to revolutionize plant and process efficiency, response time and profitability byallowing a process to be regulated by a form of rule-based AI, without humanintervention. Rather than the common academic-based approach that books on thissubject generally take, the contributions here outline practical applications of adaptivecontrol technology allowing for a real look inside the industry and the new technologiesavailable.

AudienceInstrumentation and control engineers and software developers, plant engineers,managers and technical sales staff Students, teachers and researchers in control
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engineering

ContentsAdaptive Tuning Methods of the Foxboro I/A System; Controller Structure; MinimumVariance Control; Control by Minimizing Sensitivity to Process Uncertainty; AlgebraicController Design for Load Rejection and Shaped Transient Response; Algebraic Tuning of

a Controller with Deadtime; Robust Adaptation of Feedback Controller Gain Scheduling;Feedforward Control; Adaptation of Feedforward Load Compensators; The Exploitation ofAdaptive Modelling in the Model Predictive Control Environment of Connoisseur; ModelStructures; Issues for Identification; Adaptive Modelling; Other Methods; Simulated casestudy on a Fluid Catalytic Cracking Unit; Adaptive Predictive Regulatory Control withBrainWave?; The Laguerre Modelling Method; Why the Laguerre Method is Used forIdentification; Why Modelling Techniques, Trade-Offs; Formulas Used; Building theAdaptive Predictive Controller Based on a Laguerre State Space Model; The ConceptsBehind MBPC; A Simple Predictive Control Law; The Indirect Adaptiver Predictive ControlSolution; Feedforward Variables used in Modelling and Control; Why Simpler is Better; ALaguerre Based Controller for Integrating Systems; Identification and DisturbanceEstimation for Integrating Systems; The Controller; Practical Issues for ImplentingAdaptive Predictive Controllers; Integration with Existing Control System Equipment;

Ensuring Successful Identification; Treating Self-Regulating as Integrating Systems;Choosing Appropriate Feedforward Variables; Determining when the

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