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Automotive Systems: Advanced Modeling and Control
Master mathematical modeling and control design for automotive systems in this 7-week advanced course.
Course Cost
₹ 21,146
Advanced
Skill Level
7 Weeks
Self-paced lessons
Explore advanced concepts in model-based automotive systems engineering with this comprehensive course from Chalmers University. Over seven weeks, you'll delve into modeling, control design, and simulation techniques crucial for automotive system development. Learn to create mathematical models from basic physical laws and apply them to control design processes, with a specific focus on automotive applications. The course covers road vehicle modeling, state-space concepts, discrete-time controllers, and state estimation methods, preparing you for cutting-edge work in automotive engineering.
English
What you'll learn
Develop mathematical models for road vehicle dynamics in multiple directions
Create and analyze causal and acausal models of dynamic systems
Apply linearization techniques to nonlinear continuous-time models
Derive discrete-time models through sampling methods
Understand and apply state-space terminology in automotive contexts
Design discrete-time state feedback controllers for automotive systems
Analyze system models for controllability, observability, and stability
Design and implement observers for state estimation in automotive applications
Skills you'll gain
This course includes:
PreRecorded video
Graded assignments, exams
Access on Mobile, Tablet, Desktop
Limited Access access
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Module Description
This course provides a comprehensive exploration of model-based control design in automotive systems engineering. It covers the development of mathematical models for automotive systems, focusing on road vehicle dynamics in longitudinal, lateral, and vertical directions. Students learn to create both causal and acausal models of dynamical systems, linearize nonlinear continuous-time models, and derive discrete-time models through sampling. The course delves into state-space concepts, teaching students to design discrete-time state feedback controllers and analyze systems for controllability, observability, and stability. Advanced topics include observer design and state estimation techniques. Throughout the course, students apply these concepts to various automotive applications, from early system concept studies to performance optimization. The curriculum emphasizes practical exercises to reinforce theoretical concepts, preparing students for real-world challenges in automotive engineering.
Fee Structure
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Faculties
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Frequently asked Questions
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