Containment Control for Multiple Unknown Second-order Nonlinear Systems under a Directed Graph Based on Neural Networks
In this paper, we first study the distributed containment control problem for multiple second-order nonlinear systems with multiple leaders in the presence of unknown nonlinearities and external disturbances under a directed graph that characterizes the interaction among the leaders and the followers. A distributed adaptive control algorithm based on the approximation capability of neural networks is proposed. We present a necessary and sufficient condition on the directed graph such that the containment error can be reduced as small as desired. We then present a necessary and sufficient condition on leaderless consensus for multiple second-order nonlinear systems with unknown nonlinearities and external disturbances.
Multi-agent systems containment control nonlinear system neural networks
MEI Jie REN Wei MA Guangfu
Harbin Institute of Technology Shenzhen Graduate School, Shenzhen 518055, PR China Harbin Institute of Technology, Harbin 150001, P. R. China
国际会议
The 31st Chinese Control Conference(第三十一届中国控制会议)
合肥
英文
6450-6455
2012-07-01（万方平台首次上网日期，不代表论文的发表时间）