Title :
Solution to an inverse problem of locally minimax control and its applications in robust control designs
Author_Institution :
Dept. of Math., Nizhni Novgorod State Univ. of Archit. & Civil Eng., Russia
Abstract :
A given state feedback is shown to be a locally minimax control, satisfying a Bellman-Isaacs inequality associated to a certain linear-quadratic differential game, if and only if the so-called generalized return difference of this feedback satisfies a frequency-domain condition. On this basis, we explore a new approach to robust control designs for nonlinear Lur´e systems with sector bounded uncertainty, linear systems with time-varying norm bounded uncertainty, and multivariable systems with uncertain interconnections, which allows to derive easy to check a frequency-domain test condition for a given state feedback to be the robust controller and does not require to solve matrix equations or inequalities typical for these problems
Keywords :
controllers; frequency-domain analysis; minimax techniques; multivariable control systems; robust control; state feedback; time-varying systems; Bellman-Isaacs inequality; frequency-domain condition; generalized return difference; inverse problem; linear-quadratic differential game; locally minimax control; multivariable systems; nonlinear Lur´e systems; robust control designs; sector bounded uncertainty; state feedback; time-varying norm bounded uncertainty; uncertain interconnections; Inverse problems; Linear feedback control systems; Linear systems; MIMO; Minimax techniques; Robust control; State feedback; System testing; Time varying systems; Uncertainty;
Conference_Titel :
American Control Conference, 2001. Proceedings of the 2001
Conference_Location :
Arlington, VA
Print_ISBN :
0-7803-6495-3
DOI :
10.1109/ACC.2001.945925