Valid for: 2023/24
Faculty: Faculty of Engineering, LTH
Decided by: PLED F/Pi
Date of Decision: 2023-04-18
Main field: Machine Learning, Systems and Control.
Compulsory for: MMSR2
Elective for: B5-pt, C4, D4-ssr, E4-ra, F4, F4-r, I4, I4-pvs, K5, M4, N4, Pi4-ssr
Language of instruction: The course will be given in English
The course gives an in-depth treatment of design of linear control systems with limitations. Special attention is given to design trade-offs and fundamental limitations, and how mathematical optimziation can be used as a design tool, both offline and online. The course covers both continuous-time and discrete-time control systems.
Knowledge and understanding
For a passing grade the student must
Competences and skills
For a passing grade the student must
Judgement and approach
For a passing grade the student must
The control design process, stability, sensitivity, robustness, the small-gain theorem, transfer function matrices, non-minimum-phase systems, disturbance models in the time domain and frequency domain, frequency-domain specifications, fundamental limitations and trade-offs, controller structures, the Youla parameterization and internal model control, sampled-data control, linear-quadratic optimization of state feedback and Kalman filter, model-predictive control, controller synthesis using convex optimization.
Grading scale: TH - (U,3,4,5) - (Fail, Three, Four, Five)
Assessment: Written exam (5 hours), three laboratory exercises, one hand-in assignment. In case of less than 5 registered students the retake exams may be given in oral form.
The examiner, in consultation with Disability Support Services, may deviate from the regular form of examination in order to provide a permanently disabled student with a form of examination equivalent to that of a student without a disability.
Parts
Code: 0120. Name: Examination.
Credits: 5,5. Grading scale: TH. Assessment: Passed exam
Code: 0220. Name: Laboratory Work 1.
Credits: 0,5. Grading scale: UG. Assessment: Preparation exercises and approved participation in laboratory work
Code: 0320. Name: Laboratory Work 2.
Credits: 0,5. Grading scale: UG. Assessment: Preparation exercises and approved participation in laboratory work
Code: 0420. Name: Laboratory Work 3.
Credits: 0,5. Grading scale: UG. Assessment: Preparation exercises and approved participation in laboratory work
Code: 0520. Name: Handin Assignment.
Credits: 0,5. Grading scale: UG. Assessment: Approved handin assignment, submitted before the deadline.
Assumed prior knowledge: FRTF05 Automatic Control, Basic Course or FRTN25 Automatic Process Control.
The number of participants is limited to: No
The course overlaps following course/s: FRT020, FRTN10
Director of studies: Björn Olofsson, bjorn.olofsson@control.lth.se
Course coordinator: Richard Pates, richard.pates@control.lth.se
Course homepage: http://www.control.lth.se/course/FRTN55