H∞ Control of Switching Delayed Stochastic Hopfield Neural Network Systems with Markovian Jumping Parameters
This paper considers the problem of H∞ control of a class of Hopfield neural network systems with time varying delays and Markovian jumping parameters. The delays are assumed to be bounded. The jumping parameters considered here are generated from a continuous-time discrete-state homogenous Markov process, which are governed by a Markov process with discrete and finite state space. Our purpose is to design state feedback controllers that guarantee the systems are stochastic stability with a prescribed performance γ. Based on the Lyapunov method and stochastic analysis approach, a sufficient condition for the solvability of the problems are derived in term of linear matrix inequalities, which can be easily checked by resorting to available software packages. A numerical example is exploited to demonstrate the effectiveness of the proposed results.
Xiaole Xu Lixin Gao Haiwa Guan
Institute of Operations Research and Control Sciences, Wenzhou University, Zhejiang 325027, China
国际会议
长沙
英文
380-384
2008-10-20（万方平台首次上网日期，不代表论文的发表时间）