Korea Expo keynote - mathworks.com · MATLAB and Simulink ... EEG MEG fMRI Function? Structure? ... system-level simulator. Embracing Complexity Automated Simulations for Design Optimization

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Embracing Complexity

Paul SmithDirector – Consulting Services

1970 Stanford Ph.D. thesis, with thousands of lines of Fortran code

MATLAB and SimulinkProven Ability to Make the Complex Simpler

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MATLAB and SimulinkProven Ability to Make the Complex Simpler

Credit: SwRI

Possible Grand Challenges

■ Zero automotive traffic fatalities, injuries minimized, and significantly reduced traffic congestion and delays

■ Blackout-free electricity generation and distribution

■ Perpetual life assistants for busy, older or disabled people

■ Energy-aware buildings

■ Location-independent access to world-class medicine

Raj Rajkumar, Carnegie Mellon UniversityKang Shin, University of MichiganInsup Lee, University of Pennsylvania

Excerpted, with permission

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Collaborate

Model

Simulate

Automate


How do we do it?


Power Management

Transmission

EngineRide Control

ABS

Steering

Stability Controls

Traction Control

Obstacle Detection

Adaptive Cruise Control

Crash Avoidance

Airbags

Adaptive Front Lighting Systems

Passenger Detection

Windows

Doors

Lights

Climate Controls

Driver Drowsiness Infotainment

Instrumentation

Voice Recognition

Navigation

Wireless Connectivity

Functions in Today’s Automobile

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Functions in Today’s Automobile

ACC integrates with

engine control

electronic stability program

and braking system


Platform for Collaboration

Behavior Modeling& Code

Generation

Software Architecture Definition

BSW Configuration

& RTE Generation

Track 4 –Model Based Design for Automotive Standards - ISO 26262 and AUTOSAR

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Neuroimaging of Brain Activity

PET

SPECT

EEG

MEG

fMRI

Function?

Structure?

Connectivity?



Courtesy: Wellcome Trust Centre for Neuroimaging, UCL, UK

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Courtesy: Wellcome Trust Centre for Neuroimaging, UCL, UK


Modeling and Simulationin the classroom

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Modeling and Simulationin the classroom

Track 2 - Modeling and simulation of multi-domain physical systems


Modeling and Simulationin the classroom – in research

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Managing Complexity

Modeling and Simulationin the classroom – in research – in industry

Hydro-Quebec Models Wind Power Plant Performance

Simulations run at real-time rates Equipment needs are accurately predicted

Transpower Evaluates New Zealand Power Reserve to Ensure Reliability of the National Grid Simulate the entire grid, including generators,

loads, and HVDC links, every 30 minutes

Horizon Wind Energy Develops Revenue Forecasting and Risk Analysis Tools for Wind Farms Seamlessly integrated with enterprise IT infrastructure Risk management improved, saving millions of dollars


Automation

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Development time halved

Simulation time reduced from weeks to hours

Five times more scenarios verified

User interface for

DOCOMO Beijing Labs’

system-level simulator.


Automated Simulations for Design Optimization

■ Certified applications

■ Production vehicles

■ Student projects

The Festo Bionic Handling Assistant. Image © Festo AG.

■PLCs

■ FPGAs

■DSPs

■Microcontrollers

EC130 Air Conditioning Software developed with Embedded Coder.

■ Simulation acceleration

■ Rapid prototyping

■ Embedded systems

■ HIL testing


Automatic Code Generation

Track 2 –Best practices for Verification & Validation

Code Generation Solutions for Various Target

Track 3 –Algorithm Development to Implementation

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Platform for

• Collaboration

• Modeling

• Simulation

• Automation

These days, we have to work very fast.We get into situations where the customer comes in on a Friday,

Managing Complexity

We had one product in particular where the timing of the project

AL BEYDOUNGlobal DirectorSoftware and Systems EngineeringLear Corporation

JASON BAUMANSystems Engineering Manager

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Possible Grand Challenges

■ Zero automotive traffic fatalities, injuries minimized, and significantly reduced traffic congestion and delays

■ Blackout-free electricity generation and distribution

■ Perpetual life assistants for busy, older or disabled people

■ Energy-aware buildings

■ Location-independent access to world-class medicine

Raj Rajkumar, Carnegie Mellon UniversityKang Shin, University of MichiganInsup Lee, University of Pennsylvania

Excerpted, with permission

From Diagnostics…

… to Therapeutics

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Nanoscale Control

Magnetic Particles

RedBlood Cells


Courtesy: R. Probst, Z. Cummins, C. Ropp, E. Waks, and B. Shapiro, Fischell Department of Bioengineering, University of Maryland


Nanoscale Control of Flow


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Controlling Cells at Micron Scale



Controlling Quantum Dots at Nanometer Scale


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From

Embedded Systems…

… to Cyber-Physical Systems


A system featuring a tight combination of, and coordination between, the system’s computational and physical elements.

Designed as a network of interacting elements with physical input and output instead of as standalone devices.

Collaborating, Adaptive, Networked, Fault Tolerant, Systems of Systems


Cyber-Physical Systems

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Cyber-Physical Systems


Used by permission of Prof. Chris Gerdes, Stanford University School of Engineering

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“We want to use every bit of the car’s capability to be as safe as possible. We want to develop autonomous vehicles that can avoid any accident that is

physically possible to avoid.”

Professor Chris Gerdes

Stanford University

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… and instinctive driver reactions



Autonomous Vehicles

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Autonomous Traffic Management

► Can use information from other vehicles when available

► Robust when other vehicles aren’t similarly equipped

Track 5 –Active Safety System Design and Rapid Prototyping using Simulink

Blue Block Desired position: Bottom

Move 2 left

Highest priority


Research in Cyber-Physical Systems“a network of interacting elements”

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Research in Cyber-Physical Systems

► What instructions ensure the desired result in all scenarios, including more payloads?

► What instructions provide optimal performance?

► Is the system robust to lags in communication or computation?

► How much synchronization is required?

► Can this system be verified?


Research in Cyber-Physical Systems

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What will you needto embracecomplexity

Documents

Korea Expo keynote - mathworks.com · MATLAB and Simulink ... EEG MEG fMRI Function? Structure? ... system-level simulator. Embracing Complexity Automated Simulations for Design Optimization