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Control Systems II
Last Updated: 2026-06-03 00:14:35
Abstract
This course builds upon the modeling and control of LTI SISO systems introduced in Control Systems I. It extends these foundations with state feedback and estimation, multi-input multi-output (MIMO) systems, nonlinear control, optimization, optimal control and model predictive control (MPC) for constrained linear systems.
Objective
The course introduces students to modern computational techniques for control system design. Students will learn to design and implement state feedback controllers (e.g., LQR) and state estimators (e.g., Kalman filter), including their combination in LQG control. They will distinguish between SISO and MIMO systems and gain an introduction to nonlinear systems and Lyapunov stability. In the second part of the course, students will also learn how to formulate and solve optimal control problems for linear systems and design model predictive controllers for constrained linear systems.
Content
Digital Control, modal coordinates, controllability, observability, state feedback, LQR, Luenberger observer, Kalman filter, separation principle, LQG, MIMO systems, nonlinear systems, Lyapunov stability theory, basics on optimization theory, optimal control, model predictive control.
Resources
Lecture Notes
Lecture notes will be available on the Moodle page of the course.
Literature
No textbook is required for the course. References to the literature will be provided during the course.
Learning Materials (Links)
- Main link
- Control Systems 2 IDSC Website
General Information
- Language
- English
- Levels
- BSC
- Frequency
- Yearly recurring
Examination
- Type
- session examination
- Mode
- written 150 minutes
- Aids
- No computers, tablets, smartphones, or calculators allowed. A single-sheet, 2-side, A4 “cheat sheet” is allowed.
Course Components
| Type | Title | Time & Place | Hours |
|---|---|---|---|
| lecture | Control Systems II |
|
2 h weekly |
| exercise | Control Systems II |
|
2 h weekly |
Offered In
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Robotics, Systems and Control (Focus Coordinator: Prof. Robert Katzschmann)
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