Title :
Linear quadratic regulation for discrete-time systems with multiplicative noises and input delays
Author :
Zhang, Huanshui ; Xie, Lihua
Author_Institution :
Shenzhen Graduate Sch., Harbin Inst. of Technol., Shenzhen
Abstract :
This paper considers the stochastic LQR problem for systems with multiple input delays and stochastic parameter uncertainties in the state and input matrices. The problem is known to be difficult due to the presence of interactions between the delayed input channels and the stochastic parameter uncertainties in the channels. The key to our approach is an innovation analysis which allows us to establish a duality between the stochastic LQR problem and a smoothing problem for an associated delay free system with stochastic parameter uncertainties. Our solution is given in terms of two Riccati difference equations (RDEs) of the same dimension as that of the plant (ignoring the delays) and hence is very simple in computation
Keywords :
Riccati equations; delays; difference equations; discrete time systems; duality (mathematics); linear quadratic control; linear systems; matrix algebra; stochastic systems; uncertain systems; Riccati difference equations; discrete-time systems; innovation analysis; input channels; input matrices; multiple input delays; multiplicative noises; smoothing problem; state matrices; stochastic linear quadratic regulation; stochastic parameter uncertainties; Communication system control; Control systems; Delay systems; Matrix decomposition; Smoothing methods; Stochastic processes; Stochastic resonance; Stochastic systems; Uncertain systems; Uncertainty;
Conference_Titel :
American Control Conference, 2006
Conference_Location :
Minneapolis, MN
Print_ISBN :
1-4244-0209-3
Electronic_ISBN :
1-4244-0209-3
DOI :
10.1109/ACC.2006.1656467