edX
edXModel-Based Automotive Systems Engineering
335 studentsADVANCEDEnglish
Korshub's take
Automotive Systems Through Math
Modern automotive engineering demands rigor. This advanced course teaches mathematical modeling from first principles—building equations that describe real vehicle behavior, then using them to design smarter controllers. You'll progress from state-feedback to optimal control, apply state estimation to hidden system variables, and simulate before you build. Simulation becomes your lab: test control strategies without destroying prototypes. Ideal for automotive engineers, controls specialists, and anyone moving from intuitive design to model-based engineering where prediction and optimization replace trial-and-error.
About this course
Modeling, control design, and simulation are important tools supporting engineers in the development of automotive systems, from the early study of system concepts (when the system possibly does not exist yet) to optimization of system performance. This course provides a theoretical basis to model-based control design with the focus on systematically develop mathematical models from basic physical laws and to use them in control design process with specific focus on automotive applications.
You will learn the basics of mathematical modeling applied to automotive systems, and based on the modeling framework different type of controller and state estimation methods will be introduced and applied. Starting from a pure state-feedback concept down to optimal control methods, with special attention on different automotive applications. Different methods for state reconstruction is also introduced and discussed in the course. Exercises play an important rolethroughout the course.
This course is aimed at learners with a bachelor's degree or engineers in the automotive industry who need to learn more about mathematical modelling of automotive systems.
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