Convergent iterative restricted complexity control design scheme
1994 (English)In: Proceedings of the IEEE Conference on Decision and Control, Lake Buena Vista, FL, USA, 1994, Vol. 2, no Piscataway, NJ, United States, 1735-1740 p.Conference paper (Refereed)
In this contribution we propose an optimization approach to the design of a restricted complexity controller. The design criterion is of LQG type containing two terms. The first term is the quadratic norm of the error between the output of the true closed loop and a desired response. The second term is the quadratic norm of the input signals. It is shown that the minimization of this criterion does not require a model of the system. Closed loop experimental data can be used instead. The result is an iterative scheme of closed loop experiments and controller updates which converges to a local minimum of the design criterion under the condition of bounded signals.
Place, publisher, year, edition, pages
Lake Buena Vista, FL, USA, 1994. Vol. 2, no Piscataway, NJ, United States, 1735-1740 p.
, Proceedings of the 33rd IEEE Conference on Decision and Control. Part 1 (of 4)
Closed loop control systems, Control system synthesis, Iterative methods, Optimization, Control design, Convergent iterative restricted complexity control, Linear control systems
Research subject SRA - ICT
IdentifiersURN: urn:nbn:se:kth:diva-60593DOI: 10.1109/CDC.1994.411185OAI: oai:DiVA.org:kth-60593DiVA: diva2:477527
Sponsors: IEEE NR 201408052012-01-132012-01-132012-01-13Bibliographically approved