Course - Cybernetics and Robot Control - AIS4001
Cybernetics and Robot Control
About
About the course
Course content
The course contains a selection of the following topics, in the context of cybernetics and robot control:
- Closed-loop control systems
- Optimal control methods, e.g., linear quadratic regulators and estimators, MPC
- Discrete Kalman filter
- Analysis and control of digital dynamical systems
- Parameter estimation and system identification
- Nonlinearity and linearization
- Application of cybernetics for control of robotic systems
- Possibly other relevant topics
More details about the curriculum will provided during the start of semester.
Learning outcome
Knowledge and skills
The candidate can
- Explain and apply fundamental theory and methods within cybernetics and robot control.
- Explain and apply closed loop control methods.
- Explain and apply methods for state- and parameter estimation.
- Assess and compare the theoretical background, principles, strengths and weaknesses of the introduced methods.
- Identify problems, challenges, and systems which can be solved, estimated, or controlled using cybernetics and the introduced theory.
- Use theory and methods from the course for control of robotic systems.
Competence
The candidate can
- Use digital tools for modelling, analysis, control, simulation, and visualization of dynamical systems.
- Use digital tools, simulations and physical lab equipment to demonstrate the introduced theory.
- Present problems, solutions and results both orally and written in a professional and scientific manner.
Learning methods and activities
Learning activities generally include a mix of lectures, tutorials and practical lab/project work. There will be mandatory works, e.g. assignments and quizzes. A constructivist approach for learning is endorsed, with focus on problem solving and practical application of theory.
Compulsory assignments
- Compulsory learning activities
Further on evaluation
Oral exam. The re-sit exam is an oral exam the following semester.
This course also contains compulsory work. The work may consist of the following:
- simulations or software implementation of the theory
- written reports, reflections or analyses
- possibly other kinds of assignments
- other work
Both individual and team work assignments may be given. Assignments are designed to help students achieve specific course learning outcomes, and formative feedback is given during the semester. Compulsory work must be passed in order to take the exam. More information is provided at the start of the semester.
Specific conditions
Admission to a programme of study is required:
Mechatronics and Automation (MSMECAUT)
Required previous knowledge
The course has no prerequisites. It is a requirement that students are either (a) enrolled in the study programme to which the course belongs, or (b) taking the course as an exchange student. Other exceptions may be made upon approval from the academic director of the study programme.
Course materials
An updated course overview, including curriculum is presented at the start of the semester.
Credit reductions
| Course code | Reduction | From |
|---|---|---|
| IP501508 | 3.7 sp | Autumn 2024 |