Title :
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
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;
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
DOI :
10.1109/ITIME.2009.5236286
