Stability and Consensus for T-S Fuzzy Complex Dynamical Networks
This paper investigates the H∞ stability and consensus of discrete-time nonlinear complex dynamical network systems based on T-S fuzzy model.The nonlinear complex dynamical network system consists of N discrete-time T-S fuzzy subsystems.Parallel distributed compensation algorithm and Lyapunov method are applied to design an H∞ decentralized fuzzy controller.By considering the characteristic of interconnection matrix of the network,the test of the stability of a network is separated in to the test of the stability of the several nonlinear systems.Furthermore,the consensus problem for the leader-follower complex dynamical network is considered.And the proposed criterion can be obtained by solving a set of linear matrix inequalities(LMIs)which are numerically feasible.The effectiveness of the proposed methods is demonstrated through numerical examples.
Complex dynamical network T-S fuzzy model H∞ controller LMIs(linear matrix inequalities)
Ao Dun Lili Xia Haijing Liu
Electronic Information and Control Engineering,Beijing University of Technology,Beijing 100124,China
国际会议
The 33th Chinese Control Conference第33届中国控制会议
南京
英文
4614-4619
2014-07-28（万方平台首次上网日期，不代表论文的发表时间）