期刊
IEEE TRANSACTIONS ON CYBERNETICS
卷 47, 期 1, 页码 177-185出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TCYB.2015.2509482
关键词
Adaptive neural network; distributed output tracking control; stochastic nonlinear multiagent systems; unknown nonlinear dead-zone
类别
资金
- Hundred Excellent Innovation Talents Support Program of Hebei Province
- Doctoral Fund of Ministry of Education of China [20121333110008]
- Hebei Province Applied Basis Research Project [13961806D]
- Top Talents Project of Hebei Province
- National Natural Science Foundation of China [61290322, 61273222, 61322303, 61473248]
This paper studies the problem of distributed output tracking consensus control for a class of high-order stochastic nonlinear multiagent systems with unknown nonlinear dead-zone under a directed graph topology. The adaptive neural networks are used to approximate the unknown nonlinear functions and a new inequality is used to deal with the completely unknown dead-zone input. Then, we design the controllers based on back-stepping method and the dynamic surface control technique. It is strictly proved that the resulting closed-loop system is stable in probability in the sense of semiglobally uniform ultimate boundedness and the tracking errors between the leader and the followers approach to a small residual set based on Lyapunov stability theory. Finally, two simulation examples are presented to show the effectiveness and the advantages of the proposed techniques.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据