Title :
Optimal control for stochastic systems with multiple input delays
Author :
Li Lin ; Zhang Huanshui
Author_Institution :
Sch. of Control Sci. & Eng., Shandong Univ., Jinan, China
Abstract :
In this paper, the stochastic LQR problem for discrete-time systems with multiplicative noise and multiple input delays is considered. Specifically, there are two input channels, u and w, among which u is delay-free and w is with a delay d. Let the augmented state include the state and a finite window history of length d of w. The problem is solved by virtue of the maximum principle for stochastic systems. Step by step, we establish the linear homogeneous relation between the costate at k and the augmented state at k + 1. The associated coefficients satisfy d + 1 partial Riccati equations of the same order of the plant. The optimal controllers, which both own the form of linear functions of the augmented state, can be calculated via the solution of the aforementioned Riccati equations.
Keywords :
Riccati equations; delays; discrete time systems; linear quadratic control; maximum principle; stochastic systems; discrete-time systems; finite window history; linear functions; linear homogeneous relation; linear quadratic regulation; maximum principle; multiple input delays; multiplicative noise; optimal control; partial Riccati equations; state window history; stochastic LQR problem; stochastic systems; Delays; History; Manganese; Noise; Riccati equations; Stochastic systems; LQ optimization; multiple input delays; multiplicative noise;
Conference_Titel :
Control Conference (CCC), 2013 32nd Chinese
Conference_Location :
Xi´an