基于并行估计器和自适应控制器的耦合多智能体系统协同控制

Y. Pei, Hong‐Jun Ma, Guanghong Yang
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引用次数: 3

摘要

研究一类强耦合智能体的分散和分布式估计与控制问题。将收集到的编队智能体建模为一类不确定的非线性系统,这些系统之间通过具有固定通信拓扑的单向链路进行信息通信。该混合控制策略对每个智能体的整个编队状态进行估计,依赖于监测信号对增益更新律中的参数进行离散在线调整的可能性。通过基于李雅普诺夫的闭环平衡动力学分析,构造了一种设计程序,使闭环系统中所有信号的估计误差动力学一致,同时保持系统的稳定性。
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Cooperative control for coupled multi-agent systems with parallel estimators and adaptive controllers
This paper is concerned with the decentralized and distributed estimation and control problem for a formation of agents with strongly couplings. The collected agents of the formation are modeled by a class of uncertain nonlinear systems communicating information between each other through unidirectional links with a fixed communication topology. Carrying an estimate of the entire formation state in each agent, the proposed hybrid control strategy relies on the possibility of making discrete on-line adjustments of parameter in the updating law of gain by a monitor signal. By a Lyapunov-based analysis of closed-loop equilibrium dynamics, a constructive design procedure results in the consensus of the estimation error dynamics and the stability of all signals in the closed-loop systems simultaneously.
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