Title :
Finite horizon H2/H∞ control of time-varying stochastic systems with Markov jumps and (x, u, v)-dependent noise
Author :
Ming Gao ; Li Sheng ; Weihai Zhang
Author_Institution :
Coll. of Electr. Eng. & Autom., Shandong Univ. of Sci. & Technol., Qingdao, China
fDate :
September 18 2014
Abstract :
This study investigates the finite horizon H2/H∞ control of time-varying stochastic Markov jump systems (SMJSs) with state, control and disturbance-dependent noise. Firstly, the stochastic bounded real lemma of SMJSs is established, which by itself has theoretical importance. Secondly, several necessary and sufficient conditions for H2/H∞ control of SMJSs are proposed by means of coupled generalised differential Riccati equations. Finally, two numerical examples are given to show the effectiveness of the obtained results.
Keywords :
H∞ control; Markov processes; Riccati equations; differential equations; stochastic systems; SMJS; coupled generalised differential Riccati equations; disturbance-dependent noise; finite horizon H infinity control; stochastic bounded real lemma; time-varying stochastic Markov jump systems;
Journal_Title :
Control Theory & Applications, IET
DOI :
10.1049/iet-cta.2013.1070