非线性动力系统个体的脉冲协调控制  

Impulsive Consensus of Multi-Agent Systems with Nonlinear Dynamics

作　　者：刘佳[1] 过榴晓[1] 胡满峰[1] 徐振源[1] 

机构地区：[1]江南大学理学院,江苏无锡214122

出　　处：《计算机仿真》2014年第4期379-383,393,共6页Computer Simulation

基　　金：国家自然科学基金青年基金(11002061;11202084);中央高校基本科研业务费专项资金资助(JUSRP51317B)

摘　　要：研究有向图连接的非线性个体协调控制的动力学模型问题,利用一致控制协议基于脉冲控制和采样点技术,研究非线性个体分别在强连接和生成树及其它网络拓扑结构连接下,选取适当的脉冲间隔,多智能体网络系统可以达到渐近一致。数值仿真验证了理论方法的有效性,针对非线性多智能个体一致性受到脉冲间隔及不同多智能体网络拓扑结构的影响,给出相同的耦合强度下容许的最大脉冲间隔,提高个体智能化,更好地提高效率。This paper is concerned with the problem of consensus of multi agent systems with intrinsic nonlinear dynamics in directed networks. The new protocol is based on data sampling technique and an impulsive approach. Theoretical analysis on the impulsive system shows that consensus with impulsive velocities in strongly connected net works can be achieved over suitable impulsive intervals. Then the results were extended to the networks topology with a directed spanning tree and the networks without any directed spanning tree but with a virtual leader. Numerical sim ulation examples were given to illustrate the effectiveness of the theoretical results and discuss the maximum allowable impulsive interval.

关 键 词：多智能体 一致性 非线性个体 脉冲控制 有向图 

分 类 号：TP391.9[自动化与计算机技术—计算机应用技术]