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Design and Implementation of Control Algorithms for Multi-Domain Systems using MATLAB & Simulink


Design and Implementation of Control Algorithms for Multi-Domain Systems using MATLAB & Simulink

13 Jun 2013
10.00 am to 3:30 pm
The Park, Hyderabad
In this seminar, with the help of a multi-domain system example, MathWorks engineers will showcase how MATLAB and Simulink can help you in quickly building conceptual models, verifying algorithms early in the design cycle either in desktop or real time and automatically generating the production code for the embedded processors.
From this seminar, you will get to know how MathWorks tools can help you in:
  • Modeling Multi-Domain Physical Systems
  • Creating Custom Physical Components using Simscape Language
  • Tuning Complex Control Logic using Classical Control Methods and Optimization Based Algorithms
  • Testing Control Logic in Real-Time using xPC Target Turnkey Solution
  • Generating Target Optimized Production Code for Implementation
  • Complying to Industry Standards such as ISO26262, DO178B/C, IEC61508 using Standardized Workflows
Who Should Attend
Engineering professionals involved in system design, development and test including:
  • System Engineers
  • Control System Engineers
  • Embedded Software Developers
  • Engineering Managers
  • Project Managers
  • Software QA
  • Certification Engineers
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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Physical Modeling of Multi-domain Systems using Simscape



MathWorks India invites you to a complimentary webinar:

Physical Modeling of Multi-domain Systems using Simscape

29 May 2013
3:00 PM IST (India Standard Time)
In this webinar we demonstrate physical modeling using Simscape. We will show you how physical connections make it easy to model physical systems, including electrical, mechanical, and hydraulic components. A hydraulic scissor jack, controlled by an electrical circuit, is used to show some of the modeling, simulation, and deployment capabilities of Simscape.
This webinar will include demonstrations and explanations to show you how to:
• Model electrical, mechanical, and hydraulic systems
• Create custom components with Simscape language
• Enhance your models with Simscape add-on libraries
• Detect causes of slow simulations using simulation statistics
• Run simulations in real-time for HIL testing
Physical systems often span multiple physical domains, and require modeling techniques beyond input/output blocks and transfer functions. Simscape enables engineers to use physical modeling methods within the Simulink environment, and leverages solver technology designed for physical systems. With the foundation library, Simscape language, and add-on libraries, a wide range of systems can be modeled, including multibody systems. Teams working with Simscape models can share them without requiring licenses for add-on products while they perform tasks such as parameter sweeps and generate code for HIL testing.

About the Presenter:
 Steve Miller is responsible for the technical marketing of the physical modeling products at MathWorks. Steve joined MathWorks as an Application Engineer in 2005 and moved to the Design Automation Marketing group in 2006. Prior to that, Steve worked at Delphi Automotive in Braking Control Systems and at MSC.Software as an Adams specialist, consulting in various capacities at Ford, GM, Hyundai, BMW, and Audi. Steve has a B.S. in Mechanical Engineering from Cornell University and an M.S. in Mechanical Engineering from Stanford University.
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Computer Vision with MATLAB for Object Detection and Tracking

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

Computer Vision with MATLAB for Object Detection and Tracking

8 May 2013
3:00 PM IST (India Standard Time)
Computer vision uses images and video to detect, classify, and track objects or events in order to understand a real-world scene. In this webinar, we dive deeper into the topic of object detection and tracking. Through product demonstrations, you will see how to:
  • Recognize objects using SURF features
  • Detect faces and upright people with algorithms such as Viola-Jones
  • Track single objects with the Kanade-Lucas-Tomasi (KLT) point tracking algorithm
  • Perform Kalman Filtering to predict the location of a moving object
  • Implement a motion-based multiple object tracking system
This webinar assumes some experience with MATLAB and Image Processing Toolbox. We will focus on the Computer Vision System Toolbox.
About the Presenter: Bruce Tannenbaum works on image processing and computer vision applications in technical marketing at MathWorks. Earlier in his career, he developed computer vision and wavelet-based image compression algorithms at Sarnoff Corporation (SRI). He holds an MSEE degree from University of Michigan and a BSEE degree from Penn State.
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