Departments' graduate courses

Course start and periodicity may vary. Please see details for each course for up-to-date information. The courses are managed and administered by the respective departments. For more information about the courses, how to sign up, and other practical issues, please contact the examiner or course contact to be found in the course information.

Hybrid dynamical systems in vehicle and transportation engineering

  • Course code: FMMS030
  • Course higher education credits: 7.5
  • Graduate school: Machine and Vehicle Systems
  • Course is normally given:
  • Language: The course will be given in English
  • Nordic Five Tech (N5T): This course is free for PhD students from N5T universities
The course was planned to run during September 2020, but it has been postponed, due to the current economic situation at Chalmers. For more information, please contact the examiner.

In this course hybrid dynamical systems (HDS) will be examined for modeling, simulation and control. The course both aims for giving a general theoretical background in HDS and applying this knowledge in specific vehicle/automotive and transport engineering problems.  The application examples of  Hybrid Dynamic Systems have interacting continuous time dynamics (modeled by ODEs) and discrete-event dynamics (modeled by automata). 
1) Savkin, A., Evans, R.J., Hybrid Dynamical Systems: Controller and Sensor Switching Problems, Control Engineering Series, Birkhauser, 2002.
2) Queiroz, M.S., Dawson, D.M., Nagarkatti, S.P., Zhang, F., Lyapunov-based control of mechanical systems, Control Engineering Series, Birkhauser, 2000.
3) Lecture notes by Prof. Claire Tomlin, Stanford University.
4) Elliott, R.J., Aggoun, L., Moore, J.B., 'Hidden Markov Models: Estimation and Control', Springer, 1997.
5) An Introduction to Hybrid Dynamical Systems, A. van der Schaft, H. Schumacher, 1999.
6) Lecture notes and Selected Literature (High impact journal articles) by Assoc. Prof. Pinar Boyraz, PhD.
Pinar Boyraz Baykas
More information
Pinar Boyraz Baykas Email: Phone: 031-7728236

Published: Tue 22 Aug 2017.