H∞ Consensus of Nonlinear Multi-agent Systems Based on T-S Fuzzy Model
In general, due to some limitations of nonlinear control methods, it is difficult to analyze control performance for nonlinear multi-agent network. The T-S fuzzy model-based approach is often introduced to help solve the performance analysis in nonlinear systems, but the problem of nonlinear follower agents approaching a time-varying leader is difficult to be formulated by using the general T-S fuzzy modeling method. In this paper, a novel T-S fuzzy modeling method is proposed, and the error dynamics between the states of agents and the leader signal, evolving according to an isolated unforced nonlinear agent model, is described by a set of T-S fuzzy models. Based on the model, leader-following consensus algorithm is conveniently designed so that under external disturbances, all the follower agents achieve consensus with the leader guaranteeing a prescribed disturbance attenuation level in H∞ sense. Finally, simulations with chaotic dynamic systems and sinusoidal functions are presented, and by applying the obtained results to the initial nonlinear systems, the effectiveness of the obtained results is illustrated.
Nonlinear multi-agent systems T-S fuzzy models H∞ consensus
ZHAO Yan KARIMI Hamid Reza LI Bing Huijun Gao
Shenzhen Graduate School, Harbin Institute of Technology, Shenzhen 518055, P. R. China Department of Engineering, Faculty of Engineering and Science, University of Agder, N-4898 Grimstad, Institute of Intelligent Control and Systems, Harbin Institute of Technology, Harbin, Heilongjiang P
国际会议
The 31st Chinese Control Conference(第三十一届中国控制会议)
合肥
英文
3499-3504
2012-07-01（万方平台首次上网日期，不代表论文的发表时间）