1© 2017 MathWorks

R2016b deployement at PSA

What’s New in MATLAB and Simulink

R2013a to R2016b

Vélizy

October 5th 2017

Mathieu Cuenant

2

TITRE Date

Vélizy

Date La

Garenne

DESCRIPTIF

Conception et validation

de systèmes ADAS

09/11/2017 07/11/2017 Découvrez la nouvelle Automated Driving System Toolbox, qui vous assiste dans la conception d'algorithmes de fusion de capteurs,

de vision, ou encore de tracking. Elle permet également d'automatiser le processus d'étiquetage de la vérité terrain (ground thruth

labeling), et de générer des scénarios de trafic.

Big data et calcul

parallèle avec MATLAB

28/11/2017 05/12/2017 Soyez toujours plus productif avec MATLAB : tirer parti des fonctionnalités Big Data pour accéder à des gros jeux de données et

accélérer les traitements associés grâce au calcul parallèle.

Déploiement et mise en

production

d’algorithmes MATLAB

21/12/2017 19/12/2017 Découvrez les différentes options qui s'offrent à vous pour partager et déployer des algorithmes MATLAB, afin de les mettre à

disposition de vos collègues, clients ou partenaires,

Modélisation d’une

chaine de traction avec

Powertrain blockset

30/01/2018 01/02/2018 Concevoir et régler un contrôleur moteur, effectuer une calibration moteur sur la base de modèles, évaluer et optimiser la

performance d'une chaine de traction : Powertrain blockset vous simplifie la vie. Mettant à disposition une librairie de moteurs

(essence, diesel, hybride et électrique), contrôleurs et transmissions, elle vous permet de construire rapidement des modèles haut-

niveau et de les tester en simulation sur des profils de mission standardisés (FTP75, NEDC, et JC08).

Gestion de projet pour

le model-based design

15/02/2018 13/02/2018 Simulink devenant la plateforme de conception privilégiée des ingénieurs, il est important de permettre à ces derniers de collaborer

simplement, d'architecturer et de maintenir leur modèles, de gérer leur données, d'automatiser des tâches ou encore de s'interfacer

à des systèmes de gestion de configuration. C'est là que l'outil Simulink Project entre en jeu.

Vérifiez exhaustivement

les algorithmes

développés avec

Simulink

13/03/2018 15/03/2018 Un panel de méthodes de vérification et validation (V&V) est à votre disposition dans l'environnement Simulink, vous permettant de

détecter au plus tôt des erreurs de conception afin de prendre confiance dans vos modèles. Cette session mettra en avant

l'élaboration de jeux de tests, la notion de couverture de modèle, le recours à la preuve formelle pour les exigences critiques ainsi

que la gestion et l'automatisation de plans de tests.

Développement de

composants AUTOSAR

avec Simulink

05/04/2018 03/04/2018 Vous êtes amenés à développer des composants logiciels conformes au standard AUTOSAR ? Venez découvrir les bonnes

pratiques à suivre sous Simulink pour y parvenir, que vous optiez pour une approche top-down ou bottom-up.

Vérification de code

avec Polyspace

29/05/2018 31/05/2018 La criticité et la sûreté de fonctionnement du logiciel embarqué (C/C++) sont des enjeux d'autant plus importants dans le contexte

des ADAS et du véhicule autonome. Comment caractériser exhaustivement la qualité du code développé ? Comment détecter et

corriger les défauts logiciels avant la mise sur le marché du véhicule ? C'est à ces questions que les outils Polyspace répondent.

3

MATLAB– Enhancing Your Productivity

Speed

Workflow

Insight

Verification

Verification

4

New MATLAB Execution Engine

▪ Redesigned execution engine

runs MATLAB code faster

▪ Average performance

improvement of 40% on

76 performance-sensitive

user applications

Verification

6

Speed

Workflow

Insight

MATLAB – Enhancing Your Productivity

Verification

Verification

7

MATLAB Live Editor

▪ New way to interactively create, edit,

and run MATLAB code

▪ Results embedded with the code that

produced them

▪ Share results as interactive documents

▪ Can contain equations, images,

hyperlinks, and formatted text

8

App Designer

▪ Enhanced design environment

▪ Expanded UI component set

▪ Code integration

– Tight synchronization of design and

code views with embedded editing

– New object-based code format

Built on Web Technology

9

Add-On Explorer

▪ Add capabilities to MATLAB, including

community-authored and MathWorks

toolboxes, apps, functions, models,

and hardware support

– Browse and install add-ons

directly from MATLAB

– Access community-authored

content from File Exchange

Verification

10

Custom MATLAB Toolbox Packaging

▪ Package your toolbox as a

single installer file

– Contains all of the code, data, apps,

documentation, and examples

– Checks for dependent files and

automatically includes them

– Documents required products

▪ Included folders and files automatically

appear on path when installed

▪ View details and uninstall toolboxes

with Add-On Manager

12

Git and Subversion Source Control Integration

▪ Manage your code from within

the MATLAB Desktop

▪ Leverage modern source

control capabilities

– GIT and Subversion integration

in Current Folder browser

▪ Use Comparison Tool to view and

merge changes between revisions

Verification

13

Connectivity with Other Languages

MATLABOther LanguagesC/C++, Java, .NET

.NET

JavaPython

MATLAB

Compiler SDK

MATLAB

Coder

++C/C

Python

.c

Verification

14

Speed

Workflow

Insight

MATLAB – Enhancing Your Productivity

Verification

Verification

15

string Array

▪ string class (new) vs. char arrays (existing)

– More memory efficient

– Faster operations

▪ Host of new functions for

common string manipulation

Manipulate, compare, and

store text data efficiently

16

Working with Dates and Times

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Data access made easy with datastore

▪ Data container that allows to easily

read data that are too large to fit in

the computer’s memory

▪ Incremental read: data loaded

in memory by parts

▪ Data sources of various natures

– Single text file (or collection of text files)

– Database (using Database Toolbox)

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tall Arrays

▪ New data type in MATLAB

▪ Applicable when:

– Columnar data – 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 and

Statistics and Machine Learning Toolbox

Tall DataCredit Scoring Prognostics

Process Optimization Fleet Analytics

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timetable Data Container

▪ Examples

– Test equipment

– Sensor data

– Manufacturing data

– Scientific observations

▪ Challenges working with this data

- Merging data with different time stamps

- Accounting for missing data

- Removing duplicate records

- Managing unevenly spaced data

Sensor 2

00:00:15

00:01:16

00:02:16

Event

00:01:00

00:02:00

00:03:00

Temperature

00:00:00

00:00:01

00:00:02

Sensor 1

00:01:05

00:02:05

00:03:05

Time Temperature Event Sensor1 Sensor2

____________________ ___________ _____ _______ _______

04-Jun-2014 00:01:00 80.9 None 0 0.1

04-Jun-2014 00:02:00 72.5 None 0.01 0.1

04-Jun-2014 00:03:00 74.5 Wind 0.01 0.2

04-Jun-2014 00:04:00 71.5 Wind 0 0.1

04-Jun-2014 00:05:00 73.9 Rain 0 0.1

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MATLAB– Enhancing Your Productivity

Verification

Verification

Speed

Speed

Workflow

Insight

23

Pause Button

▪ Pause the execution of a program from

the Editor and enter debug mode

– Without having to specify breakpoints in advance

▪ MATLAB pauses execution at the next

executable line of MATLAB code

– Continue button resumes program execution

24

Unit Testing Framework

▪ Write, run, and analyze tests

for your MATLAB programs

– Define how each test checks

values and responds to failures

– Setup and restore system before

and after tests

– Run tests individually or grouped

into a test suite

– Measure MATLAB code performance

▪ Supports either script-based, function-based or

object-based unit tests

25

Simulink– Enhancing Your Productivity

Speed

Workflow

Insight

Verification

Verification

26

Start Page

▪ Create new Simulink models using

templates as starting points to common

modeling approaches

▪ Use fully developed example models as a

reference as you set out to build your own

models

▪ Access most recent Simulink models right

from the start page

Get started or resume work faster by

accessing templates, recent models,

and featured examples

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Simulink Fast Restart>> set_param(model,'FastRestart','on')

Verification

28

Performance Advisor

▪ Automated tool included in Simulink

▪ Checks its own advice

▪ Many checks have an AutoFix option

▪ Verifies simulation results are

within tolerance

Analyze your model for common

simulation bottlenecks

Verification

29

Speed

Workflow

Insight

Simulink – Enhancing Your Productivity

Verification

Verification

30

Simulink Project

31

Simulink Project Integration with SVN and Git

32

Impact Analysis to Find Dependencies

▪ Analyze modified files to determine set of

files impacted

▪ View impacted files, required files, and all

dependencies

▪ Export list of impacted files to Batch Job

view or MATLAB workspace

Visualize the impact of changes to the

files within your project

33

Model ReferencingPartitioning

Integration Model

Design Model Design Model Design Model

34

Model ReferencingPartitioning

▪ Share common integration model

▪ Enable parallel developments

▪ Facilitate component re-use

35

Model ReferencingUnit Testing

Design Model

Test Harness

36

Model ReferencingUnit Testing

▪ Automated test harness creation

▪ Separate design from testing

▪ Perform deep verification of components

37

Model Reference Conversion Advisor

▪ Guides users through all conversion

steps

▪ Provides detailed information about

problems

▪ Supports automatic fixing of certain

problems

Easier conversion of subsystems to model reference with the Model

Reference Conversion Advisor

38

Simulink Data Dictionary

▪ Change tracking

and differencing

▪ Defined relationship

with SLDD file

▪ Componentization

▪ Scalability and

performance

▪ Integration with

Simulink Projects

Provides

management for

global design data:

Simulink

SLX

FileSLX

File

Model 1

Model 2

Model 3

SLX

File

SLDD

FileSLDD

FileSLDD

FileGlobal Data

39

Simulink Functions

▪ Simulink users can define and access

functions that are reused throughout the

model

▪ Simulink function block is paired with

function caller block to define and call a

function respectively

▪ Simulink function can be directly accessed

from Stateflow as well

Create and call functions

across Simulink and StateflowSimulink Function Block

Function caller block

40

Simulink Units

▪ Specify physical units for Simulink signals

and bus elements at the interfaces of

components such as subsystems, model

references, Stateflow charts and MATLAB

function blocks

▪ Identify unit mismatches at the component

interfaces

▪ Enforce consistency is by restricting the unit

systems for certain components using the

configuration parameter, ‘Allowed unit

systems’

Specify, visualize, and check

consistency of units on interfaces

41

Messages

▪ New message object and queue

▪ Message Viewer block to visualize lifetime of

a message

▪ Signal lines in Simulink to transfer messages

between charts

Model asynchronous operations in state

charts using objects that carry data and

can be queued

» sf_msg_traffic_light

42

Smart Editing Cues

▪ Smart prompts for inserting blocks

upon typing the block name

▪ Easily insert blocks that occur in

pairs Ex: Goto, From pair

▪ Suggests marquee actions when a

group of blocks are selected Ex:

Create Subsystem

Accelerate model building with

just-in-time contextual prompts

Marquee actions

Quick insert & Hot parameters Tear-off cues

Persistent guides

43

Comment Through Block Option

▪ Signal passes through the block

during simulation

▪ Comment out option remains

available

▪ Works on blocks with the same

number of inputs and outputs

Comment a block so that the output

equals the input

Comment Out:

(block gray, badge)

(disconnected)

Comment Through:

(block gray, badge)

(input output)

44

Speed

Workflow

Insight

Simulink – Enhancing Your Productivity

Verification

Verification

45

Interface Display

▪ Easily view, understand and inspect the

interface to a Simulink model

▪ Trace a signal’s path by clicking on the

signal name

▪ Zoom in to see bus elements corresponding

to a bus signal and trace the element’s

signal path

View and trace the input and output

signals of a model or subsystem

46

Rich Annotations

▪ Rich text with:

– Bold, italic, font name, font size, highlight etc.

for subtext

– Bulleted and enumerated lists

– Tables

– Hyperlinks (proper URLs)

– Images

▪ Image annotations with callbacks

▪ Author your content directly in the editor or paste

clipboard content copied for Word, Excel, HTML,

etc.

Add images, tables, and bulleted lists to

your model

47

One-Click Display

▪ Display port value for a signal by clicking it

during simulation for easy debugging

▪ For bus signals, select the signals of interest

before simulation

Click a signal line when the simulation

is running to view the current value

48

New Interface for Scopes

▪ Scope, Floating Scope, and Viewers all

upgraded with new UI

▪ Includes simulation data analysis and

debugging tools

– Cursors

– Measurements

– Triggers

View and debug signals with cursors

and measurements

49

New Simulation Data Inspector

▪ Toolstrip to access and discover signal visualization

actions

▪ Add up to 2 data cursors to monitor signal values

▪ View signal data in the Simulation Data Inspector as

the simulation runs

View live signal data and access visualization options such as data cursors

50

Dashboard Block Library

▪ 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

Tune and test your simulations with

graphical controls and displays

51

MATLAB– Enhancing Your Productivity

Verification

Verification

Speed

Speed

Workflow

Insight

52

Simulink Test

▪ Build synchronized executable test

environments

▪ Create inputs and assessments based on

logic or temporal conditions

▪ Author, execute, and manage testing

Author, execute and manage

simulation-based testing

Test Harness

Test Sequence Block

Test Manager

53

Model Slicing (requires Simulink Design Verifier)

▪ Understand functional dependencies

▪ Determine interdependencies

▪ Eliminate unneeded items

▪ API support in R2015b

Test and debug complex models