Robust model predictive control for constrained networked control system

Author

Liu Xiao-hua ; Li Jian

Author_Institution

Sch. of Math. & Inf., Ludong Univ., Yantai, China

Volume

1

fYear

2009

fDate

14-16 Aug. 2009

Firstpage

1225

Lastpage

1230

Abstract

In this paper, a robust model predictive control algorithm for polytope uncertain networked control systems with random time-delay and constrained input is presented. Considering the min-max infinite horizon cost function while the network delay is assumed as Markov chain, the mode-dependent state feedback controller is proposed, all the results are given by linear matrix inequality. The condition for the feasibility and robust stochastic stability of the algorithm is derived based on Lyapunov function method. The simulation shows the effectiveness of the proposed algorithm.

Keywords

Lyapunov methods; Markov processes; control engineering computing; delays; infinite horizon; linear matrix inequalities; minimax techniques; predictive control; random processes; robust control; state feedback; stochastic systems; uncertain systems; Lyapunov function; Markov chain; linear matrix inequality; min-max infinite horizon cost function; mode-dependent state feedback controller; polytope uncertain constrained networked control system; random time-delay; robust model predictive control algorithm; stochastic stability; Cost function; Infinite horizon; Linear feedback control systems; Networked control systems; Prediction algorithms; Predictive control; Predictive models; Robust control; Robust stability; State feedback;

fLanguage

English

Publisher

ieee

Conference_Titel

IT in Medicine & Education, 2009. ITIME '09. IEEE International Symposium on

Conference_Location

Jinan

Print_ISBN

978-1-4244-3928-7

Electronic_ISBN

978-1-4244-3930-0

Type

conf

DOI

10.1109/ITIME.2009.5236286

Filename

5236286