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Model-Based Design for Mechatronic Systems with Simulink

Seminar Overview

Mechatronics Seminar Image

Mechatronics challenges engineers to efficiently integrate electrical, mechanical, hydraulics, and embedded control systems. Traditional development approaches often result in engineers of different disciplines working in environments lacking any commonality to requirements, design methodology, testing, and validation. With this traditional approach, errors are often found late in the development process, jeopardizing the successful completion of the project on time and within budget.

In this complimentary, half-day seminar, MathWorks engineers will introduce Model-Based Design, and demonstrate how MATLAB, Simulink, Stateflow, and other MathWorks products can address many of the challenges associated with the traditional development process.

Thank you for your interest in MathWorks Seminars. There are no dates currently scheduled for this Seminar. For more information on our seminars and products contact MathWorks sales or please visit:

Who Should Attend

This seminar is designed primarily for those who are unfamiliar with MathWorks products, including:
  • Electrical and mechanical engineers developing mechatronic systems
  • Embedded control system engineers
  • Real-time software developers
  • Control system analysts and developers

Seminar Highlights

Using a case study, MathWorks engineers will demonstrate how you can:

  • Create executable specifications of the design to help improve communication of requirements between engineering disciplines
  • Use a system-level model to perform design cycles with simulation and drastically reduce the need for real prototypes
  • Implement mechatronics designs through automatic code generation, eliminating potential errors from hand-coding
  • Continuously test and verify your designs, to can-catch errors much earlier in the development process




8:00 Registration and Continental Breakfast

Welcome and Introduction


Introduction to Model-Based Design




Development on a robot arm control system

  • Part 1:  Requirements definition, system and subsystem modeling, and control design and simulation
10:40 Break

Development on a robot arm control system

  • Part 2:  Implementation, and verification and validation
11:50 Questions and Answers