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Synthesis of multiple robust controllers for parametric uncertain LTI systems
KTH, School of Engineering Sciences (SCI), Mathematics (Dept.), Mathematics (Div.).
2006 (English)In: Proceedings of the American Control Conference, 2006, 3629-3636 p.Conference paper (Refereed)
Abstract [en]

This paper tackles the problem of designing multiple controllers that optimize the worst-case performance of a linear time invariant system under parametric uncertainty. The parametric uncertainty region is assumed to be convex polytopic, which is also partitioned into a set of convex polytopic local regions. It is desired that all plants that belong to a local region are to be controlled by a single controller, which is designed to give an optimal worst-case performance for that region. The total performance is evaluated as the maximum of worst-case performances for all the local regions. It is minimized with respect to a fixed number of convex polytopic local regions, as well as the same number of controllers. Even though the formulated problem is nonconvex, and thus it is difficult to ensure global optimality, algorithms are provided to update the local regions and the multiple controllers so that they guarantee monotonic non-increasing total performance.

Place, publisher, year, edition, pages
2006. 3629-3636 p.
, Proceedings of the American Control Conference, ISSN 0743-1619 ; 2006
Keyword [en]
Linear time invariant systems, Multiple robust controllers, Parametric uncertain LTI systems, Parametric uncertainty, Algorithms, Invariance, Optimization, Parameter estimation, Robust control, Uncertain systems, Linear control systems
National Category
Control Engineering
URN: urn:nbn:se:kth:diva-155402ISI: 000241666307012ScopusID: 2-s2.0-34047218298ISBN: 1424402107ISBN: 9781424402106OAI: diva2:769066
2006 American Control Conference; Minneapolis, MN; United States; 14 June 2006 through 16 June 2006

QC 20141205

Available from: 2014-12-05 Created: 2014-11-05 Last updated: 2014-12-05Bibliographically approved

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Nagamune, Ryozo
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