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Infinite horizon H <inf>∞</inf> control for nonlinear stochastic Markov jump systems with (x, u, v) -dependent noise via fuzzy approach
Journal article   Peer reviewed

Infinite horizon H ∞ control for nonlinear stochastic Markov jump systems with (x, u, v) -dependent noise via fuzzy approach

Li Sheng, Ming Gao, Weihai Zhang and Bor-Sen Chen
Fuzzy Sets and Systems, Vol.273, pp.105-123
15/08/2015

Abstract

(x, u, v) -dependent noise H <inf>∞</inf> control Markov jump systems Nonlinear stochastic systems T-S fuzzy model
In this paper, the H∞ control problem is studied for nonlinear stochastic Markov jump systems with state, control and external disturbance-dependent noise ((x,u,v)-dependent noise for short). A sufficient condition is derived for the infinite horizon H∞ control of such systems in terms of a set of coupled second-order Hamilton-Jacobi inequalities (HJIs). In general, it is difficult to solve these coupled HJIs. By using fuzzy approach, the infinite horizon H∞ control design for nonlinear stochastic Markov jump systems is developed via solving a set of linear matrix inequalities (LMIs) instead of HJIs. Two numerical examples are presented to illustrate the effectiveness of the proposed design methods. © 2015 Elsevier B.V.

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