Automatic Control
Lund Institute of Technology

FRT050 Adaptive Control

This advanced level course reviews theory and methodology of adaptive systems.
The course is 70 hours and gives 5 credits. There are lectures, problem solving sessions and laboratory sessions during the first quarter (lp1) and a project that is done during the second quarter (lp2). The course will be taught in English.

FRT 050 Adaptive Control

Latest news

Exam results for Oct 17, 2006.
Adaptation


Old exams

Master Thesis Proposal:


Subspace-model Identification in Adaptive Control

As opposed to traditional approaches to adaptive control based on dynamic feedback and local gradient search, subspace-model identifcation is a block-data method that require substantial reorganization of  the adaptive control algorithms. Such algorithmic reorganization including analysis of properties constitutes this thesis assignment.


Methods: Theoretical analysis and simulation

Prerequisites: FRT041, FRT050


Contact: Prof Rolf Johansson (Rolf.Johansson@control.lth.se )



Master Thesis Proposal:

Subspace-model Identification in Iterative Learning Control (ILC)

As opposed to traditional approaches to adaptive control based on dynamic feedback and local gradient search, subspace-model identifcation is a block-data method that require substantial reorganization of the adaptive control algorithms. However, this property fits the problem formulation of iterative learning control. The task of this thesis is to exploit the block-data nature of subspace-model identification to the benefit of iterative learning control. Apart from algorithm organization, this thesis topic includes analysis of  the resulting ILC properties with respect to stability, convergence and finite-time performance.

Methods: Theoretical analysis and simulation

Prerequisites: FRT041, FRT050

Contact: Prof Rolf Johansson ( Rolf.Johansson@control.lth.se


Back one level Homepage of Automatic Control
Coordinator: Rolf Johansson
Last modified: 2004-08-30