Adaptive Cooperative Tracking Control for A Class of High-Order Nonaffine Nonlinear Multi-Agent Systems
作者单位：Research Institute of RuijieRuijie Networks Co.Ltd State Key Laboratory of Advanced Power Semiconductor Devices Zhuzhou CRRC Times Electric Co.Ltd College of AutomationChongqing University Hunan Railway Professional Technology Institute of Science and Technology
会议名称：《第30届中国控制与决策会议》
会议日期：2018年
学科分类：0711[理学-系统科学] 12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 07[理学] 081104[工学-模式识别与智能系统] 08[工学] 0835[工学-软件工程] 081101[工学-控制理论与控制工程] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 071102[理学-系统分析与集成] 081103[工学-系统工程]
关 键 词：Multi-Agent System Nonaffine Nonlinear System Cooperative Control Neural Adaptive Control
摘 要：This paper investigated the adaptive cooperative tracking control for a class of high-order nonaffine nonlinear multi-agent *** effective distributed adaptive control strategy was proposed only based on the local state information of the network neighbor *** main contribution was a novel dynamics transformation that converted the nonaffine system into an affine system through the mean value *** Basis Function Neural Networks（RBFNNs） were used to approximate the unknown nonlinear function of the multi-agent systems,and a Lyapunov function was designed for the robust adaptive synchronization control *** the end,simulation results demonstrated the effectiveness of the proposed control method.