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Synthesis of low-order controllers for discrete LPV systems using LMIs and evolutionary search
Publikationstyp
Conference Paper
Publikationsdatum
2007
Sprache
English
Institut
Start Page
4861
End Page
4866
Article Number
7068257
Citation
European Control Conference (ECC 2007): 4861-4866 (2007)
Contribution to Conference
Publisher DOI
Scopus ID
Publisher
IEEE
A procedure for designing robust and gain-scheduled controllers for Discrete-time linear-parameter-varying (LPV) systems is proposed that exploits known bounds on the rate of parameter variation to reduce conservatism. Recent results on stability analysis of continuous-time LPV systems with known bounds on the rate of parameter change, using the concept of quadratic separators have been extended to compute a measure of worst-case performance of a discrete-time LPV system by solving an LMI problem. The problem of synthesizing robust and gain-scheduled controllers leads to a bilinear matrix inequality, and a hybrid approach to solving this problem based on LMI solvers and genetic algorithms is proposed in this paper. Two design examples illustrate the efficiency of the proposed method.
DDC Class
600: Technik
620: Ingenieurwissenschaften