Title :
LQG control for nonstandard singularly perturbed discrete time systems
Author :
Kim, Beom-Soo ; Kim, Young-Joong ; Lim, Myo-Taeg
Author_Institution :
Sch. of Electr. Eng., Korea Univ., Seoul, South Korea
Abstract :
In this paper we present a control method and a high accuracy solution technique in solving the linear quadratic Gaussian problems for the nonstandard singularly perturbed discrete time systems since the methodology that exists in the literature for the solution of the standard singularly perturbed discrete time linear quadratic Gaussian optimal control problem can not be extended to the corresponding nonstandard counterpart. The solution of the linear quadratic Gaussian optimal control problem is obtained by solving the pure-slow and pure-fast, reduced-order, continuous-time algebraic Riccati equations and by implementing the pure-slow and pure-fast, reduced-order Kalman filters. An example is provided to illustrate the efficiency of the proposed method.
Keywords :
Kalman filters; Riccati equations; discrete time systems; linear quadratic Gaussian control; reduced order systems; singular optimal control; singularly perturbed systems; LQG control; continuous time algebraic Riccati equations; discrete time systems; linear quadratic Gaussian control; nonstandard singularly perturbed system; optimal control problem; reduced order Kalman filters; reduced order system; Control systems; Discrete time systems; Ear; Kalman filters; Linear systems; Optimal control; Riccati equations; Sampling methods; Stochastic processes; White noise;
Conference_Titel :
Decision and Control, 2002, Proceedings of the 41st IEEE Conference on
Print_ISBN :
0-7803-7516-5
DOI :
10.1109/CDC.2002.1184945