Input design for asymptotic robust H2-filtering
2009 (English)In: 48th IEEE Conference on Decision and Control held jointly with 2009 28th Chinese Control Conference, CDC/CCC 2009, 2009, 476-481 p.Conference paper (Refereed)
In this paper we study the problem of robust discrete-time H-2 filtering using a Linear Matrix Inequality approach. By assuming that the number of samples available for the identification of the system is large enough, we describe the filter design problem as a semidefinite program. Afterwards, the problem of designing an input signal for the identification of the system, to improve the performance of the conceived filter, is examined, and we show how to solve this problem using convex optimization.
Place, publisher, year, edition, pages
2009. 476-481 p.
Discrete-time, Filter designs, Input design, Input signal, Linear matrix inequality approach, Number of samples, Semidefinite programs, Convex optimization, Identification (control systems), Linear matrix inequalities, Problem solving
Research subject SRA - ICT
IdentifiersURN: urn:nbn:se:kth:diva-60520DOI: 10.1109/CDC.2009.5400101ISI: 000336893600081ScopusID: 2-s2.0-77950796196OAI: oai:DiVA.org:kth-60520DiVA: diva2:478668
48th IEEE Conference on Decision and Control held jointly with 2009 28th Chinese Control Conference, CDC/CCC 2009. Shanghai. 15 December 2009 - 18 December 2009
FunderSwedish Research Council, 621-2009-4017
QC 201201172012-01-162012-01-132016-06-01Bibliographically approved