Executive Development Programme in Model-Based Design for Embedded Control Systems

This course is designed for senior engineers and managers in the automotive, aerospace, and manufacturing industries who aim to enhance their expertise in model-based design for embedded control systems. Participants will gain hands-on experience with the latest tools and methodologies to streamline the development process, improve product quality, and reduce time-to-market.

Graduates will learn to effectively manage and optimize complex systems, integrate hardware and software components, and ensure compliance with industry standards. They will also develop skills in predictive modeling, system simulation, and real-time implementation, enabling them to lead projects from concept to deployment.

1. 1. Fundamentals of Model-Based Design: Learners will study the basic principles of model-based design, including state charts, Simulink modeling, and MATLAB scripting. They will gain foundational skills in creating and simulating models for embedded control systems.
2. 2. State Machine Modeling Techniques: This module covers advanced state machine modeling techniques, including state transition diagrams and hierarchical state machines. Learners will develop skills in designing complex state machines for robust control systems.
3. 3. Real-Time Simulations and Validation: Learners will learn how to perform real-time simulations of embedded systems and validate models against requirements using Model Verification blocks and simulation scenarios. Practical skills in ensuring accurate and reliable simulations will be developed.
4. 4. Code Generation and Deployment: This module focuses on generating optimized C/C++ code from Simulink models and deploying it to microcontrollers and other embedded hardware. Learners will gain hands-on experience in code generation and hardware-in-the-loop testing.
5. 5. Advanced Control System Design: Learners will explore advanced control techniques such as PID control, LQR, and adaptive control. They will learn to design and implement complex control algorithms using Simulink Control Design tools.
6. 6. Model-Based Testing and Debugging: This module covers techniques for testing and debugging embedded control systems using models. Learners will develop skills in using model coverage analysis, fault injection, and model-based testing tools.
7. 7. Model-Based Design for Safety-Critical Systems: Learners will study the principles of model-based design for safety-critical systems, including fault tolerance, safety analysis, and certification. They will gain skills in designing and verifying safety-critical embedded systems.
8. 8. Industry Best Practices and Case Studies: This module provides an overview of industry best practices in model-based design for embedded control systems. Through case studies, learners will understand how these practices are applied in real-world projects and gain insights into best practices for model-based design.
9. 9. Emerging Trends in Model-Based Design: Learners will explore emerging trends and future directions in model-based design, including cybersecurity, AI integration, and cloud-based modeling. They will gain knowledge of how these trends are shaping the future of embedded control systems.
10. 10. Capstone Project: In this final module, learners will work on a comprehensive capstone project that integrates all the skills and knowledge gained throughout the programme. They will design, implement, and validate a complete embedded control system using model-based design techniques.