Welcome to Optimal Control (TSRT08)
Optimal control consists of theory and methods for controlling dynamical systems so that a mathematical criterion is minimized. The course aims at giving basic theory and engineering-oriented computational methods in the area.
After taking the course, participants are expected to be able to:
- Analyze and synthesize optimal open-loop control signals using the Maximum Principle.
- Analyze and synthesize optimal feedback laws using Dynamic Programming.
- Analyze and synthesize optimal feedback laws using Model Predictive Control.
- Analyze and synthesize optimal feedback laws using Reinforcement Learning.
- Use numerical software to solve optimal control problems.
Course organization
Lecturer and examiner: Anders Hansson, Room 2A:573, anders.g.hansson@liu.se.
Teaching assistant: Reza Jafari, Room 2A:501, seyyed.reza.jafari@liu.se.
Course material and plans: lectures, exercises, and homework assignments.
Examination
Assessment consists of an exam and three homework assignments. See the exam information and past exams.
Timetable
Course literature
- Anders Hansson and Martin Andersen, Optimization for Learning and Control, Wiley, 2023. Publisher information; errata. The book is available at Bokakademin.
- Manual for the MPT toolbox.
Other course material can be printed from the course homepage.