Title :
A parameter-dependent Lyapunov function based design approach for gain-scheduled H∞ filters of LPV systems
Author :
Zhou, Shaosheng ; Zhang, Baoyong ; Zheng, Wei Xing
Author_Institution :
Hangzhou Dianzi Univ., Hangzhou
Abstract :
In this paper we study the problem of designing gain-scheduled Hinfin filters for a class of parameter-varying discrete-time systems. We utilize a parameter-dependent Lyapunov function to establish a new characterization of asymptotic stability with Hinfin norm bound for the linear parameter-varying (LPV) systems. On the basis of the stability with Hinfin performance characterization established, we provide sufficient conditions for the solvability of the filter design problem by means of a finite number of linear matrix inequalities (LMIs). Then we show that solving a set of LMIs paves the way for designing a desired gain-scheduled Hinfin filter. We also use a numerical example to demonstrate the application of the presented filter design method.
Keywords :
Hinfin control; Lyapunov methods; asymptotic stability; control system synthesis; discrete time systems; filtering theory; linear matrix inequalities; linear systems; scheduling; Hinfin norm bound; LMI; LPV systems; asymptotic stability; gain-scheduled Hinfin filters; linear matrix inequalities; linear parameter-varying; parameter-dependent Lyapunov function; parameter-varying discrete-time systems; Australia; Automation; Control systems; Filtering; Linear matrix inequalities; Lyapunov method; Noise level; Nonlinear filters; Stability; Sufficient conditions;
Conference_Titel :
Decision and Control, 2007 46th IEEE Conference on
Conference_Location :
New Orleans, LA
Print_ISBN :
978-1-4244-1497-0
Electronic_ISBN :
0191-2216
DOI :
10.1109/CDC.2007.4434144