Optimality and sub-optimality of iterative identification and control design schemes
1995 (English)In: Proceedings of the American Control Conference, Seattle, WA, USA, 1995, Vol. 4, 2559-2563 p.Conference paper (Refereed)
We demonstrate that some recently proposed iterative identification and control design schemes do not necessarily converge to a local minimum of the design objective in the case of a restricted complexity model. There is, however, a link between these approaches and a recently proposed iterative optimization based control design procedure based on experimental data. We show that if the achieved and the desired output responses are perfectly matched, the schemes are (essentially) equivalent under noise free conditions.
Place, publisher, year, edition, pages
Seattle, WA, USA, 1995. Vol. 4, 2559-2563 p.
, Proceedings of the 1995 American Control Conference. Part 1 (of 6)
Closed loop control systems, Control system synthesis, Convergence of numerical methods, Degrees of freedom (mechanics), Feedback, Identification (control systems), Iterative methods, Mathematical models, Optimization, Random processes, Noise free conditions, Optimality, Sub-optimality, Optimal control systems
Research subject SRA - ICT
IdentifiersURN: urn:nbn:se:kth:diva-60592DOI: 10.1109/ACC.1995.532309OAI: oai:DiVA.org:kth-60592DiVA: diva2:477522
Sponsors: AACC NR 201408052012-01-132012-01-132012-01-13Bibliographically approved