切换有向图和扰动下不确定Euler-Lagrange多智能体系统的一致性

Lei Ju, Zhiwei Wang, Anqing Wang, Xiaotong Zhou
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引用次数: 0

摘要

研究了不确定欧拉-拉格朗日多智能体系统在切换有向图上受干扰时的领导-跟随者共识问题。更精确地说,系统动力学的特征是可以线性参数化的不确定性,并且所考虑的干扰是那些来自领导系统的干扰。针对切换有向图联合连通性条件下的干扰抑制和一致性问题,提出了一种新的自适应分布式控制策略。利用Lyapunov稳定性理论和广义Barbalat引理,证明了不确定Euler-Lagrange多智能体系统使用所提出的分布式自适应控制协议渐近地达到状态一致。通过一个由四个双连杆机械手组成的系统实例,验证了本文提出的自适应分布式控制策略的有效性。
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Consensus of Uncertain Euler-Lagrange Multi-agent Systems under Switching Digraphs and Disturbances
This paper focuses on exploring the problem of achieving leader-follower consensus in uncertain Euler-Lagrange multi-agent systems, which are subjected to disturbance, and operate on switched digraph. To be more precise, the system dynamics are characterized by uncertainties that can be linearly parameterized, and the disturbances that are considered are those originating from the leader system. A novel adaptive distributed control strategy is proposed to overcome the difficulties of suppressing disturbances and achieving consistency under the condition of joint connectivity of switched digraphs. By using Lyapunov stability theory and the generalized Barbalat's lemma, it is proved that the uncertain Euler-Lagrange multi-agent systems achieves state consensus asymptotically with the proposed distributed adaptive control protocol. The efficacy of the adaptive distributed control strategy proposed in the paper is validated by presenting a case study involving a system composed of four double-link manipulators.
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