具有外部干扰的多智能体系统基于ude的鲁棒二部一致性控制

Jiangfeng Yue, Xi Chen, Weihao Li, Kaiyu Qin, Jingbo Wang, Bin Chen, Mengji Shi
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引用次数: 1

摘要

研究了具有外部干扰的多智能体系统的二部共识控制问题。提出了一种鲁棒的分布式控制方案,使各智能体的收敛值具有相同模量但不同符号的二部一致性。为了有效地减弱多智能体系统外部干扰的影响,设计了基于模型逆系统信息的不确定性和干扰估计器(UDE)来估计未知干扰。通过构造Lyapunov函数,降低了基于最近邻规则的控制器与UDE补偿组件耦合对系统一致性稳定性的影响。最后,设计了一些仿真来验证鲁棒二部共识控制方案的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
UDE-Based Robust Bipartite Consensus Control of Multi-agent Systems with External Disturbances
This article studies the bipartite consensus control problem of multi-agent systems with external disturbances. A robust distributed control scheme is proposed to achieve bipartite consensus in which the convergence values of agents have the same modulus but different signs. To significantly attenuate the effect of external disturbances of multi-agent systems, an uncertainty and disturbance estimator (UDE) is designed to estimate the unknown disturbances based on the information of inverse system of the model. By constructing the Lyapunov function, the influence on the coupling of nearest- neighbor rule based controller and UDE compensation component on the system consensus stability is reduced. Finally, some simulations are designed to verify the effectiveness of the robust bipartite consensus control scheme.
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