Driving Efficiency with MATLAB and Simulink. Centurion Lake Hotel 25 May 2017

Transcription

1 Driving Efficiency with MATLAB and Simulink Centurion Lake Hotel 25 May 2017

2 Welcome Danielle Winter Application Engineer Praneet Kala Application Engineer Please put cell phones on silent Please fill in the evaluation forms Driving Efficiency with MATLAB and Simulink 2

3 Opti-Num Solutions and MathWorks Sales Development Opti-Num Solutions Application Engineering Consulting Training Driving Efficiency with MATLAB and Simulink 3

4 Why Are We Here? How proficient are you in MATLAB and Simulink? Driving Efficiency with MATLAB and Simulink 4

5 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 Driving Efficiency with MATLAB and Simulink 5

6 Efficiency Updates in MATLAB Increased performance New graphics system Editing and running code New data types Working with Big Data Language enhancements Toolbox enhancements Driving Efficiency with MATLAB and Simulink 6

7 Increased Performance Redesigned MATLAB execution engine All MATLAB code is now JIT compiled Average performance improvement of 40% Driving Efficiency with MATLAB and Simulink 7

8 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 Driving Efficiency with MATLAB and Simulink 8

9 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 Driving Efficiency with MATLAB and Simulink 9

10 Live Editor Run code, present, share, and collaborate using interactive documents Rich text formatting Interactive plot customization with 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 Driving Efficiency with MATLAB and Simulink 10

11 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 Driving Efficiency with MATLAB and Simulink 11

12 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 code for more complex workflows Driving Efficiency with MATLAB and Simulink 12

13 Data Types in MATLAB Numeri c datetime duration double, single, logical Heterogeneou s categorical calendarduration timetable str str str structure Text cell table str c h char {c h} cell string str string tall Driving Efficiency with MATLAB and Simulink 13

14 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 Driving Efficiency with MATLAB and Simulink 14

15 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 Driving Efficiency with MATLAB and Simulink 15

16 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 Driving Efficiency with MATLAB and Simulink 16

17 Strings Manipulate, compare, and store text data efficiently Simplified text manipulation functions Performance improvement Up to 50x faster Up to 2x memory savings 2/22/singing-the-praises-of-strings/ String concatenation Previously Matrix dimensions must agree for character array addition Now >> "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") Driving Efficiency with MATLAB and Simulink 17

18 Working with Big Data just got easier in MATLAB. Driving Efficiency with MATLAB and Simulink

19 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 Machine Memory Statistical and machine learning applications Hundreds of functions supported in MATLAB and Statistics and Machine Learning Toolbox Tall Data Driving Efficiency with MATLAB and Simulink 19

20 Using Tall Arrays Run in parallel on compute clusters MATLAB Distributed Computing Server /products/distriben.html Local disk Shared folders Databases Compute Clusters Spark + Hadoop Tall arrays Built into base MATLAB 100 s of functions supported Run in parallel Parallel Computing Toolbox Run in parallel on Spark clusters MATLAB Distributed Computing Server Deploy MATLAB applications as standalone applications on Spark clusters MATLAB Compiler Driving Efficiency with MATLAB and Simulink 20

21 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 Driving Efficiency with MATLAB and Simulink 21

22 Expressing Math More Naturally with Implicit Expansion 1986: % Remove mean of each column: [nr,nc] = size(a) A = A ones(nr,1)*mean(a) 1996: A = A repmat(mean(a),nr,1) 2006: A = bsxfun(@minus,a,mean(a)) 2016: A = A mean(a) 24/matlab-arithmetic-expands-in-r2016b/ Driving Efficiency with MATLAB and Simulink 22

23 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 Driving Efficiency with MATLAB and Simulink 23

24 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 Driving Efficiency with MATLAB and Simulink 24

25 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) Driving Efficiency with MATLAB and Simulink 25

26 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 Driving Efficiency with MATLAB and Simulink 26

27 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 Driving Efficiency with MATLAB and Simulink 27

28 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 Driving Efficiency with MATLAB and Simulink 28

29 Efficiency Updates in MATLAB Increased performance New graphics system Editing and running code New data types Working with Big Data Language enhancements Toolbox enhancements Driving Efficiency with MATLAB and Simulink 29

30 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 Driving Efficiency with MATLAB and Simulink 30

31 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 New Interface for Scopes - video Driving Efficiency with MATLAB and Simulink 31

32 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 Dashboard Block Library - Video Driving Efficiency with MATLAB and Simulink 32

33 >> sldemo_fuelsys Driving Efficiency with MATLAB and Simulink 33

34 New Scope Interface Control model from scope Trigger repeating signals View and debug signals with cursors and measurements Auto scaling and data range tools New Interface for Scopes - video Driving Efficiency with MATLAB and Simulink 34

35 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 Driving Efficiency with MATLAB and Simulink 35

36 Property Inspector Edit parameters of block using a single interface Always open and docked Ctrl+Shift+i Property Inspector - video Driving Efficiency with MATLAB and Simulink 36

37 Initialize and Terminate Function Blocks Model dynamic start-up and shutdown behaviour Respond to events by changing states Generate code from these functions Initialize and Terminate Functions - video Driving Efficiency with MATLAB and Simulink 37

38 General Simulink Editor Enhancements Reduced Bus Wiring Automatic Port Creation Inport File Streaming Dashboard Block Connection Indicators One Click Display Driving Efficiency with MATLAB and Simulink 38

39 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 Driving Efficiency with MATLAB and Simulink 39

40 Road-Suspension Interaction in 3 DOF >> edit sldemo_parsim_paramsweep_suspn The model simulates vehicle dynamics based on the interaction between road and suspension for different road profiles. The Signal Builder block stores measured road profile data for the left and right tires as different test groups. In this Monte Carlo study, you inspect the impact of the front suspension coefficients on the vehicle dynamics. You run multiple simulations, each with a different coefficient value. Calculate the sweep values for the coefficient as percentages of the design value ranging from 5% to 95% in increments of 10%. Driving Efficiency with MATLAB and Simulink 40

41 New Toolboxes Automated Driving System Toolbox Simscape Fluids Robotics System Toolbox Audio System Toolbox Vision HDL Toolbox Simulink Test Risk Management Toolbox Antenna Toolbox Phased Array System Toolbox WLAN System Toolbox LTE System Toolbox 5G library for LTE available Driving Efficiency with MATLAB and Simulink 41

42 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 Driving Efficiency with MATLAB and Simulink 42

43 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 Driving Efficiency with MATLAB and Simulink 43

44 Demonstration Importing data into MATLAB Automatic MATLAB code generation Tables Datetimes Strings Categorical data Data pre-processing and analysis Debugging code 44

45 Code Debugging Set and remove breakpoints Enter debug mode Interactively view and change variables Resume program execution Driving Efficiency with MATLAB and Simulink 45

46 External Interfaces Calling Libraries Written in Another Language From MATLAB Python C/C++ Fortran Java COM components and ActiveX controls RESTful, HTTP, and WSDL web services Calling MATLAB from Another Language Java Python C/C++ Fortran COM Automation server Driving Efficiency with MATLAB and Simulink

47 Test Frameworks How would you check that this data is the same? Driving Efficiency with MATLAB and Simulink 47

48 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 Driving Efficiency with MATLAB and Simulink 48

49 Source Control Integration Manage your code from within the MATLAB Desktop GIT and Subversion integration in Current Folder browser Use Comparison Tool to view and merge changes between revisions Driving Efficiency with MATLAB and Simulink 49

50 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 Driving Efficiency with MATLAB and Simulink 50

51 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? Driving Efficiency with MATLAB and Simulink 51

52 Simulink Projects Create new project from Home tab Organise all project related models and data in one place Airframe Example Metadata Shortcuts Folders Interface Start up and Shutdown scripts Source Control Integration Simulink Projects - video and discovery page Driving Efficiency with MATLAB and Simulink 52

53 Simulink Project and Dependency Analysis Simulink Projects Model Management Driving Efficiency with MATLAB and Simulink 53

54 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 Data Dictionary - Documentation Driving Efficiency with MATLAB and Simulink 54

55 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. Model Referencing - Documentation Driving Efficiency with MATLAB and Simulink 55

56 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 Variants - Discovery Page Driving Efficiency with MATLAB and Simulink 56

57 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 Simulink Project Upgrade - Documentation Driving Efficiency with MATLAB and Simulink 57

58 Recap Efficiency Updates Simulink Projects Data Dictionaries Model References Variants Simulink Project Upgrade Driving Efficiency with MATLAB and Simulink 58

59 Hardware: Breadth and Depth Data & RF Embedded Imaging Specialty Standards Driving Efficiency with MATLAB and Simulink 59

60 Hardware: Up and Running Fast Over 90 Hardware Support Packages Installs both the code and the drivers needed On-Line Hardware Catalog Integrated into Add-On Explorer Smoother Installation Process Driving Efficiency with MATLAB and Simulink 60

61 Hardware Support Raspberry Pi, Arduino, BeagleBone, Lego EV3 Webcams Android and ios Sensors Log data from iphone and Android device sensors to the cloud with MATLAB Mobile locally on the phone Communicate with Raspberry Pi 3 and Raspberry Pi Sense HAT hardware Driving Efficiency with MATLAB and Simulink 61

62 IoT - ThingSpeak Collect data from internet-connected sensors and run MATLAB analytics on the cloud using functions from: Statistics and Machine Learning Toolbox Signal Processing Toolbox Curve Fitting Toolbox Mapping Toolbox Driving Efficiency with MATLAB and Simulink 62

63 Why Update? benefits, keeping up with trends, maximise value Maximise value Take advantage of features you requested Increase workflow efficiency Build confidence in your designs Save time by upgrading regularly Driving Efficiency with MATLAB and Simulink 63

64 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 Questions and Answers 11:30 12:00 Driving Efficiency with MATLAB and Simulink 64

65 Why Are We Here? How proficient can you be in MATLAB and Simulink? Driving Efficiency with MATLAB and Simulink 65

66 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. Driving Efficiency with MATLAB and Simulink 66

67 Opti-Num Solutions philosophy Products Get the tools you need Training Learn how to use them Consulting Let us accelerate your development Driving Efficiency with MATLAB and Simulink 67

68 Get the tools you need Products Training Maximise value Take advantage of features you requested Increase workflow efficiency Build confidence in your designs Save time by upgrading regularly Consulting Two releases annually Access to technical support Driving Efficiency with MATLAB and Simulink 68

69 Learn how to use them Products Training Consulting See all training courses Driving Efficiency with MATLAB and Simulink 69

70 Training by Learning Path Products Tailored learning for your knowledge area and application Computational Finance Data Analytics Image Processing and Computer Vision Training Programming and Application Development Consulting Driving Efficiency with MATLAB and Simulink 70

71 Let us accelerate your development Products Training Partner with customers to combine domain knowledge with tools expertise Code reviews Model-Based Design projects Knowledge transfer Consulting Flexible business models Ongoing relationships Driving Efficiency with MATLAB and Simulink 71

72 OPTI-NUM solutions Consulting Services MTN Zone product discount strategy application (ongoing) & Traffic modelling for cell congestion analysis Capital adequacy projection model and macro-economic factor model Operational process monitoring application Short term load forecasting MATLAB Ramp-Up Consulting Assistance for Fault Prediction Analysis Rand Merchant Bank, Credit Risk Property development risk model (ongoing) Modelling, software and hardware-in-the-loop simulation of a mechanised air defence system Power generation dispatch modelling, simulation and optimization (ongoing) Portfolio optimisation framework design and implementation Data Acquisition Toolbox support for Keithley and Advantech data acquisition hardware Research, design and implementation of a framework and algorithm for a human biometrics machine learning project Driving Efficiency with MATLAB and Simulink 72

73 Our Business Model Products Training 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.. Consulting - D Groenewald, Anglo American Platinum Driving Efficiency with MATLAB and Simulink 73

74 Next Steps MathWorks website pages MathWorks Discovery Page MathWorks Solutions MATLAB updates Simulink updates Get support for your trial Opti-Num Website Training learning paths Please fill in the feedback form Driving Efficiency with MATLAB and Simulink 74

75 Thank You for Attending Questions & Answers Driving Efficiency with MATLAB and Simulink 75