Driving Efficiency with MATLAB and Simulink · and Simulink The Commodore Hotel ... • Editing and...

Driving Efficiency with MATLAB and Simulink

The Commodore Hotel– 20 June 2017

Welcome

Danielle Winter

Application Engineer

Praneet Kala

Application Engineer

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2Driving Efficiency with MATLAB and Simulink

Opti-Num Solutions and MathWorks

Driving Efficiency with MATLAB and Simulink 3

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Application Engineering

TrainingConsulting

Development

Why Are We Here?

How proficient are you in MATLAB and Simulink?


Agenda


Efficiency Updates in MATLAB 09:00 – 09:40

Efficiency Updates in Simulink 09:40 – 10:00

Tea Break 10:00 – 10:30

Driving Efficiency in MATLAB 10:30 – 11:10

Driving Efficiency in Simulink 11:10 – 11:30

Recap and Q&A 11:30 – 12:00

Efficiency Updates in MATLAB

• Increased performance

• New graphics system

• Editing and running code

• New data types

• Working with Big Data

• Language enhancements

• Toolbox enhancements


Increased Performance

• Redesigned MATLAB execution engine

– All MATLAB code is now JIT compiled

– Average performance improvement of 40%


New Graphics System

• Easier plot customization with objects

– Graphics objects with graphics handles

– Support dot-notation to access and change properties

– Object-specific properties

• Updates and Enhancements

– Automatic update of datetime tick labels

– Dynamic legends

– Plot with categoricals

– Multiple colormaps per figure


Editing and Running MATLAB Code Pre-16a

• Plain-text editing

• Output goes to Command Window

• Multiple figure windows appear

• Equations, images, and hyperlinks only appear if published


• Run code, present, share, and collaborate using interactive documents

– Rich text formatting

– Interactive plot customizationwith code generation

– Interactive equation editing

– Insert images

– Hyperlinking

• See results together with code

– Side-by-side or inline views

• Save directly to PDF or HTML

Live Editor


Importing and Exporting Data

• Import improvements

– Improved performance

– Improved format detection in readtable and datastore

– Advanced control over import with detectImportOptions

• Import Tool

• Datastore

– Importing multiple files

– Text, spreadsheet, images, and custom

• Access online data

– RESTful, JSON, HTTP, CSV, text, and image data


Automatic MATLAB Code Generation

• Customized data import

• Recreate customized plots

– Directly from figures

– Within Live Editor

– Plot Gallery

• Variable Editor actions

• Apps in Toolboxes generate codefor more complex workflows


Data Types in MATLAB

Numeric

datetime duration

calendarDuration

logical categorical

cellstructure table

Heterogeneous

Text

double, single, …

char

c|h

timetable

string

strcell string

{c|h}

str

str

str

str

tall


Tables

• For mixed-type tabular data

– Holds both data and metadata

• Flexible indexing

• Built-in functionality(merge, sort, etc.)

• Database-like functionality

– Join

– Stack / Unstack


Date and Time Arrays

• datetime for representing a point in time

• duration, calendarDuration

for representing elapsed time

• Same data type for computation and display

– Add, subtract, sort, compare, and plot

– Customize display formats

• Support for time zones and leap seconds

– Accounts for daylight saving time


Timetables

• Manage time-stamped tabular data with time-based indexing

• Use dedicated functions to manage timetables

– Reorganize data

– Evenly space data by time

– Synchronise multiple data sets


Strings

• Manipulate, compare, and store text data efficiently

• Simplified text manipulation functions

• Performance improvement

– Up to 50x faster

– Up to 2x memory savings


Previously Now

String concatenation

Matrix dimensions must agree for character array addition

>> "image" + (1:3) + ".png"

1×3 string array

"image1.png" "image2.png“

"image3.png“

Text manipulation if

~isempty(strfind(textdata,

"Dog"))

if contains(textdata,"Dog")

Working with Big Data just goteasier in MATLAB.


Machine

Memory

Tall Arrays

• Applicable when:

– Data is columnar – with many rows

– Overall data size is too big to fit into memory

– Operations are mathematical/statistical in nature

• Statistical and machine learning applications

– Hundreds of functions supported in MATLAB andStatistics and Machine Learning Toolbox

Tall Data


Run in parallel on Spark clustersMATLAB Distributed Computing Server

Deploy MATLAB applications as standalone applications on Spark clustersMATLAB Compiler

Run in parallel on compute clustersMATLAB Distributed Computing Server

Tall arraysBuilt into base MATLAB

100’s of functions supported

Run in parallelParallel Computing Toolbox

Using Tall Arrays

Spark + Hadoop

Compute ClustersLocal diskShared folders

Databases


Programming Flexibility

• Functions in scripts

– Define local functions in scripts for improved code reuse and readability

• Property validation for classes

– Easily control a property's size, class, and value


Expressing Math More Naturally with Implicit Expansion

A = bsxfun(@minus,A,mean(A))

A = A – mean(A)

[nr,nc] = size(A)A = A – ones(nr,1)*mean(A)

1986:

1996:

2006:

A = A – repmat(mean(A),nr,1)

2016:

% Remove mean of each column:


Data Preprocessing

• Text manipulation functions– contains, endsWith, and others

• Find, fill, and remove missing data– *missing functions

• Options to ignore “NaNs” with cumulative statistic functions

• Smooth noisy data with filtering or local regression using smoothdata

• Deal with outliers easily using isoutlier and filloutliers


Analyse Data

• Split-Apply-Combine Workflow – findgroups – splits the data into groups

– splitapply – applies a function to each group,and combines the results

• Apply functions with tables and timetables using varfun


Statistics and Machine Learning Toolbox

• Easy-to-use Apps

– Classification Learner App

– Regression Learner App

• 1-click parallel computing

• Big data using tall arrays

• C code generation for predictive models(requires MATLAB Coder)


Deep Learning with Neural Network Toolbox

• Import forward-looking models from Caffe

• Extract features from a trained network

• Construct convolutional neural network (CNN) architecture

• Train and test using CPUs or multiple GPUs

• Perform transfer learning with AlexNet, VGG-16, VGG-19


Parallel Computing Toolbox

• tall array support for big data

• Measure data sent to workers using ticBytes and tocBytes

• Cloud offerings with K80-equipped GPUs

• Send data to client using DataQueue and PollableDataQueue

• Train a single deep learning network with multiple CPUs or multiple GPUs


Other Toolbox Enhancement Highlights

• Optimization Toolbox– Mixed Integer Linear Programming

• Database Toolbox– Analyze large data using a Database Datastore and tall table capabilities– Retrieve graph data from Neo4j Graph Database

• Econometrics Toolbox– Bayesian Linear Regression– Vector Autoregressive Models (VAR) with Exogenous Inputs (VARX)

• MATLAB Report Generator– Document Object Model (DOM) API for creating customized reports

• Signal Processing Toolbox– Signal Analyser App for spectral and time domain analysis of signals


Efficiency Updates in MATLAB

• Increased performance

• New graphics system

• Editing and running code

• New data types

• Working with Big Data

• Language enhancements

• Toolbox enhancements


Agenda




Tea Break 10:00 – 10:30



Recap and Q&A 11:30 – 12:00

Connecting the blocks …

• Graphical programming environment for modelling, simulating and analysing multi-domain dynamic systems

32

Building

Simulating

Analysing

Managing

Connecting

Simulation Data Inspector

• Inspect and compare simulation data

• Compare simulation outputs for different inputs when testing your model

• Compare simulation outputs and generated code outputs


Dashboard Block Library

Tune and test your simulations with graphical controls and displays

• New library of controls and displays, including knobs, switches, and gauges

• Place blocks directly within the Simulink Editor

• Provide a front-end user interface to the entire model


New Scope Interface

• Control model from scope

• Trigger repeating signals

• View and debug signals with cursors

and measurements

• Auto scaling and data range tools


Quick Insert Feature

• Add blocks to models without using Simulink Library Browser

• Click in white space and start typing

• Lists all possible blocks and the location of block


Property Inspector

• Edit parameters of block using a single interface

• Always open and docked


Ctrl+Shift+i

Initialize and Terminate Function Blocks

• Model dynamic start-up and shutdown behaviour

• Respond to events by changing states

• Generate code from these functions


General Simulink Editor Enhancements

• Reduced Bus Wiring

• Automatic Port Creation

• Inport File Streaming

• Dashboard Block Connection Indicators

• One Click Display


Parallel Computing Toolbox and Simulink

• Directly run multiple parallel simulations from the parsim command

• Iteratively change various parameter values in your model

• Common use cases for this approach include:

– Model testing

– Design of experiments

– Monte Carlo runs

– Sensitivity and robustness analysis.

• Custom code required is reduced significantly compared to sim command


New Toolboxes

• Automated Driving System Toolbox

• Robotics System Toolbox

• Audio System Toolbox

• Vision HDL Toolbox

• Simulink Test

• Risk Management Toolbox

• Simscape Fluids

• Antenna Toolbox

• Phased Array System Toolbox

• WLAN System Toolbox

• LTE System Toolbox

– 5G library for LTE available


Agenda




Tea Break 10:00 – 10:30



Recap and Q&A 11:30 – 12:00

Demonstration

• Importing data into MATLAB

• Automatic MATLAB code generation

• Tables

• Datetimes

• Strings

• Categorical data

• Data pre-processing and analysis

• Debugging code

45

Code Debugging

• Set and remove breakpoints

• Enter debug mode

• Interactively view and change variables

• Resume program execution


External Interfaces

Calling Libraries Written in Another Language From MATLAB

Calling MATLAB from Another Language

• Python• C/C++• Fortran• Java• COM components and ActiveX®

controls• RESTful, HTTP, and WSDL web services

• Java• Python• C/C++• Fortran• COM Automation server


Test Frameworks

• How would you check that this data is the same?


Test Frameworks

• MATLAB Unit Testing Framework

– Test your code early and often

– Script / function / class based testing

– Works with continuous integration servers

– Automatic reporting

– Mocking framework

• Performance Testing Framework

– Time MATLAB code automatically

– Track performance over time


Source Control Integration

• Manage your code from withinthe MATLAB Desktop

• GIT and Subversion integration in Current Folder browser

• Use Comparison Tool to view andmerge changes between revisions


Agenda




Tea Break 10:00 – 10:30



Recap and Q&A 11:30 – 12:00

Simulink Driving Efficiency

Are you using the tools effectively?

Are all your files neatly stored in one folder?

Is your model and configuration data stored in one place?

Do you have different variations of models to be tested?

Are you over the budget due to expensive hardware?


?

? ?

?

Simulink Projects

• Create new project from Home tab

• Organise all project related models and data in one place

• Metadata– Shortcuts

– Folders

• Interface– Start up and Shutdown scripts

• Source Control Integration


Airframe Example

Simulink Project and Dependency Analysis


Data Dictionary

• Get model data from a different source other than the workspace

• Keep all configuration data and design data in one place

• Can reference each model to particular Data Dictionary

• Built in change tracking


Model References

• Develop referenced model independently

• Reference a model multiple times without making redundant copies.

• Multiple models can reference a single model.

• The referenced model is not loaded until it is needed (Incremental Loading)

– Speeds up model load times.


Variants – add/copy variant

• Different variations of model in one model

• Useful for switching components between simulations

• One variant is always active

• For code generation only the active variant is compiled


Simulink Project Upgrade

• Easily upgrade all your models in your project to a new version

• Upgrade to latest release using a simple workflow

• Can apply all fixes automatically when possible

• Upgrade all model hierarchies in the project at once

• Automatically produces a report


Recap

• Efficiency Updates

• Simulink Projects

• Data Dictionaries

• Model References

• Variants

• Simulink Project Upgrade


Hardware Support

• Raspberry Pi, Arduino, BeagleBone, Lego EV3

• Data and RF and speciality hardware

• Webcams

• Android and iOS Sensors

• Download Support Packages with the Add-On Explorer

– Installs both the code and the drivers needed


IoT - ThingSpeak

• Collect data from internet-connectedsensors and run MATLAB analyticson the cloud using functions from:

– Statistics and Machine Learning Toolbox

– Signal Processing Toolbox

– Curve Fitting Toolbox

– Mapping Toolbox


Agenda

62



Tea Break 10:00 – 10:30



Recap and Questions and Answers 11:30 – 12:00


Why Are We Here?

How proficient can you be in MATLAB and Simulink?


Opti-Num Solutions philosophy

• “Walking the journey” with our

clients

• Focus on the business problem

• Passionate about data, technology

and the development

of creative solutions to practical

problems.


Opti-Num Solutions philosophy


Consulting

Training

ProductsGet the tools you need

Learn how to use them

Let us accelerate your development

Get the tools you need

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Consulting

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Products


• Maximise value

• Take advantage of features you requested

• Increase workflow efficiency

• Build confidence in your designs

• Save time by upgrading regularly

• Two releases annually

• Access to technical support

Consulting

Training

Products

Learn how to use them

67

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http://optinum.co.za/training-courses/course-list/

Training by Learning Path


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Products • Tailored learning for your knowledge area and application

• Computational Finance• Data Analytics• Image Processing and Computer Vision• Programming and Application Development

68

Let us accelerate your development

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combine domain knowledge with

tools expertise

• Code reviews

• Model-Based Design projects

• Knowledge transfer

• Flexible business models

• Ongoing relationshipsConsulting

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OPTI-NUM solutions Consulting Services

70

Capital adequacy projection model and macro-economic factor model

MTN Zone product discount strategy application (ongoing)

Rand Merchant Bank, Credit RiskProperty development risk model (ongoing)

Short term load forecasting

Power generation dispatch modelling, simulation and optimization (ongoing)

Modelling, software and hardware-in-the-loop simulation of a mechanised air defence system

Operational process monitoring application

Data Acquisition Toolbox support for Keithley and Advantech data acquisition hardware

Traffic modelling for cell congestion analysis

&

MATLAB Ramp-Up Consulting Assistance for Fault Prediction Analysis

Portfolio optimisation framework design and implementation

Research, design and implementation of a framework and algorithm for a human biometrics machine learning project


Consulting

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Our Business Model

71

“A staggered code development and deployment approach allowed benefits to be realised well before the end of the project, with clear, comprehensive documentation ensuring swift adoption of the new functionality..”

• - D Groenewald, Anglo American Platinum


Next Steps

• MathWorks website pages– MathWorks Discovery Page

– MathWorks Solutions

– MATLAB updates

– Simulink updates

• Get support for your trial – [email protected]

• Opti-Num Website– Training learning paths

• Please fill in the feedback form


http://www.mathworks.com/discovery

https://www.mathworks.com/solutions.html?s_tid=gn_sol

https://www.mathworks.com/products/matlab/whatsnew.html

https://www.mathworks.com/products/simulink/whatsnew.html

mailto:[email protected]

http://optinum.co.za/training-courses/paths/

Thank You for Attending


Questions & Answers

Driving Efficiency with MATLAB and Simulink · and Simulink The Commodore Hotel ... • Editing and...

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