Control System Design, Analysis and Real-Time Testing


Control System Design, Analysis and Real-Time Testing using MATLAB and Simulink
11 Dec 2012
3:00 PM IST (India Standard Time)
In this webinar, you’ll learn how MATLAB & Simulink® are utilized in the development of an embedded control system including implementation and testing on hardware. Our demonstration will emphasize how to design, simulate and test a complex system that incorporates multiple domains such as mechanical, electrical and hydraulic – that are typically isolated across different software platforms and thus not simulated in a common framework.
Starting from underlying physical principles, we will build models that can expand and accelerate the development process through the use of simulation. You will see how you can simulate the controller and the plant together, optimize the control system, and generate code for HIL testing—all before building a prototype. We will demonstrate the integration of simulated and real components to enable Hardware-in-the-Loop (HIL) testing in support of early Verification and Validation (V&V) against top-level requirements.
You’ll learn how to:
  • Build models of mechanical, electrical and control software component
  • Employ models to optimize component designs against system requirements
  • Employ models to support the production and testing of integrated systems
About the Presenters:
Terry Denery is an expert in Modeling. He runs hundreds, if not thousands, of simulations to pursue the best design of electrical, mechanical, and control systems.
Sam Mirsky’s forte is working with the hardware; these two skill sets complement each other perfectly. Using MathWorks tools Sam can rapidly prototype Terry’s best design, and prove whether it will really work or not. This could not be done without good modeling and rapid conversion of these models into real hardware systems. Together, Terry and Sam will show how to do this in MATLAB & Simulink, the platform for Model-Based Design.
Q&A Session: Prasanna Deshpande – Application Engineer, MathWorks India
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Using HDL Coder and HDL Verifier for FPGA and ASIC Designs


Dear Pradeep Sakhamoori,
MathWorks India invites you to a complimentary webinar:

Using HDL Coder and HDL Verifier for FPGA and ASIC Designs

27 Nov 2012
3:00 PM IST (India Standard Time)
In this webinar you will learn how you can leverage our HDL Code Generation and Verification products to accelerate your FPGA design cycle and avoid costly mistakes. Using HDL Coder you can prototype your algorithm on FPGAs or implement it on ASICs and FPGAs directly from Simulink. With HDL Verifier, you can co-simulate your HDL code with ModelSim and perform FPGA based accelerated simulations.
MathWorks engineers will demonstrate the latest enhancements to HDL Coder, which generates synthesizable Verilog® and VHDL® code from Simulink models, MATLAB code, and Stateflow charts.
We will discuss the following topics:
  • Simulink system level design
  • Verilog and VHDL code generation using HDL Coder
  • Optimization techniques for efficient FPGA implementation
  • Pipelining and resource sharing
  • Co-simulation with ModelSim
  • Programming your HDL code on FPGA boards
  • FPGA-in-the-Loop verification
Presenter: Stephan van Beek – Application Engineer, MathWorks
Q&A Session: Puneet Kumar – Principal Application Engineer, MathWorks India
REGISTER now
 
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Production Code Generation with Simulink and Embedded Coder


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MathWorks
Production Code Generation with Simulink and Embedded Coder
30 Oct 2012
3:00 PM IST (India Standard Time)
In this webinar, you’ll learn how to generate high-quality and optimized C/C++ code from Simulink models for deployment in production systems. You’ll also learn how to build, profile, and verify generated code on target processors.
Featuring MATLAB and Simulink’s New Look and Feel in Release R2012b
Topics include important new technologies in latest releases including:
  • Target optimized code for software deployment
  • Function prototype control to ease software integration
  • Float- to Fixed Point conversion advancements
  • Bidirectional model and code traceability
  • Software- and Processor-in-the-Loop (SIL and PIL) testing
  • Support for AUTOSAR, DO-178, IEC 61508, ISO 26262, and MISRA-C
This webinar is primarily targeted at people new to Model-Based Design and production code generation, but will also be of interest to those already applying Model-Based Design.
A Q&A session will follow the presentation and demos.
About the Presenter: Tom Erkkinen is product manager for code generation and certification products at MathWorks. He has 20 years industry experience using Model-Based Design in aerospace and automotive industries
Q&A Session: Shobhit Shanker, Application Engineer, MathWorks India
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Register for this webinar.
We look forward to seeing you online on Tuesday, 30th of October, 2012.
Regards,

Webinar Team
MathWorks India

Openings for Android, DTV and STB professionals - Hyderabad

Openings for Android, DTV and STB professionals

Area
Technology
Req
Android
Stability
4
Triage
4
Build and Release
2
Android MM FW
Audio
3
Video
2
Display
2
Graphics
1
Driver
Audio
1
Video
1
Display
1
Graphics
1
DTV MW Integration
DVB,ATSC,ISDB,AV-Sync
3
DTV FW
Transport Stream, Video Frameworks, SBT,
G Streamer
3
STB Drivers
Audio
1
Video
1
Display
1
HDMI
1

Send your resume to pradeep.sakhamoori@smartplayin.com

High-Performance Image Processing in MATLAB


The new MATLAB Desktop and Simulink Editor are available in MATLAB and Simulink R2012b. View this issue online.
News for the MATLAB and Simulink communitySeptember 2012

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MathWorks

Designing and Implementing Signal Processing, Video Processing and Communication Systems using MATLAB and Simulink


Designing and Implementing Signal Processing, Video Processing and Communication Systems using MATLAB and Simulink

11 Sep 2012
10 am to 2.45 pm
Sapphire Ballroom, Hyderabad Marriott Hotel & Convention Centre, Hyderabad
Designing complex, next generation signal processing, video processing and communications products in shortened design cycles magnifies the need for continuity in design methods. Gaps in design flows result in sub-optimal system designs, negatively impact project schedules and ultimately deplete project budgets.
Join us for this free seminar to learn about how the new capabilities in MATLAB and Simulink – like System Toolboxes in MATLAB, automatic C code generation from MATLAB, and HDL code generation and FPGA-in-loop verification using Simulink – can help engineers improve overall design flow efficiency and signal processing and communications systems performance.
MathWorks engineers will use several examples to demonstrate the following:
  • Simplify the system design process by using high-level function libraries provided by System Toolboxes in MATLAB
  • Run efficient system simulations by leveraging stream processing to reduce scheduling overhead and speed up simulations
  • Reuse algorithmic level system designs created in MATLAB and Simulink to analyze the effects of hardware constraints on data types by converting floating-point algorithms to fixed-point and running verification suites
  • Reduce design cycle time through early prototyping and maintain design flow continuity by using automatic C and HDL code generation technologies
  • Reduce verification effort by reusing test benches from the algorithmic stage through to hardware-in-loop / FPGA-in-loop stage
Who Should Attend
Target audience:This seminar is recommended to anyone designing or implementing Signal Processing, Video Processing and Communications Systems on DSPs and FPGAs
  • Algorithm Designers
  • System Engineers
  • Signal Processing Engineers
  • Video System Engineers
  • Communications System Engineers
  • Embedded Software Engineers
  • FPGA Designers
  • Test and Verification Engineers
Prior knowledge of MathWorks products is not required.
Please note this Seminar is not designed for students.  If you are a student, please do not register for this seminar.

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Agenda
09:30- 10:00
Registration
10:00-10:15
Welcome Address
10:15-11:30
Addressing System Design Challenges with Model-Based Design
Signal Processing, Video Processing and Communication System Design with MATLAB and Simulink
  • MATLAB Capabilities for System Design
  • Modeling and Simulation
  • Handling Large Datasets
11:30 -12:00
Break
12:00 -13:30
From MATLAB to C : Bridging the Gap Between Algorithm Design and Implementation
  • Fixed Point Design in MATLAB
  • Automatic C-code Generation from MATLAB
  • Optimizing the Generated Code for Target Platforms
Implementing Algorithms on FPGAs and ASICs
  • Automatic HDL Code Generation from MATLAB, Simulink, and Stateflow
  • Integrated HDL Verification
  • FPGA-in-the-Loop Verification
13:30 -13:45
Wrap up
13:45 – 14:45
Lunch

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