Title
Fixed-Order Controller Design for Polytopic Systems Using LMIs
Abstract
Convex parameterization of fixed-order robust stabilizing controllers for systems with polytopic uncertainty is represented as a linear matrix inequality (LMI) using the Kalman-Yakubovich-Popov (KYP) lemma. This parameterization is a convex inner approximation of the whole nonconvex set of stabilizing controllers, and depends on the choice of a central polynomial. It is shown that, with an appropriate choice of the central polynomial, the set of all stabilizing fixed-order controllers that place the closed-loop poles of a polytopic system in a disk centered on the real axis can be outbounded with some LMIs. These LMIs can be used for robust pole placement of polytopic systems.
Year
DOI
Venue
2008
10.1109/TAC.2007.914301
IEEE Trans. Automat. Contr.
Keywords
Field
DocType
Control systems,Polynomials,Stability,State feedback,Uncertainty,Design optimization,Design methodology,Lyapunov method,Automatic control,Linear matrix inequalities
Mathematical optimization,Polynomial,Control theory,Full state feedback,Complex plane,Regular polygon,Robust control,Convex optimization,Linear matrix inequality,Mathematics,Lemma (mathematics)
Journal
Volume
Issue
ISSN
53
1
0018-9286
Citations 
PageRank 
References 
14
1.39
9
Authors
3
Name
Order
Citations
PageRank
Hamid Khatibi1262.63
A. Karimi228940.41
Roland Longchamp313418.17