Title :
H infinity control for Markov jump systems based on receding horizon
Author :
Xiao Lin ; Liu Xiaohua
Author_Institution :
Sch. of Math. & Inf., Ludong Univ., Yantai, China
Abstract :
With consideration of the discrete-time Markov jump systems with additive disturbance,the receding horizon H infinity control problem is studied. A H infinity predictive controller is designed based on Multi-step Control Strategy with partly unknown transition probabilities between jump modes, which results in the larger feasible region. The sufficient conditions of the ensuring the recursive feasibility of robust model predictive control problem is investigated. The numerical example verifies the effectiveness of the proposed approach.
Keywords :
H∞ control; Markov processes; control system synthesis; discrete time systems; predictive control; probability; robust control; H infinity predictive controller design; additive disturbance; discrete-time Markov jump systems; multistep control strategy; receding horizon H infinity control problem; robust model predictive control problem; transition probability; Abstracts; Additives; Educational institutions; Electronic mail; Linear systems; Markov processes; H infinity control; Linear matrix inequality; Markov jump systems; Receding horizon control;
Conference_Titel :
Control Conference (CCC), 2013 32nd Chinese
Conference_Location :
Xi´an