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Consensus Analysis Based on Saturated Impulsive Control in Networked Multi-agent Systems

机译:网络多智能体系统中基于饱和脉冲控制的共识分析

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摘要

This paper mainly investigates the self-feedback and leader-following consensus of multi-agent networks under saturated impulsive control. Based on Laplacian matrix, convex analysis and Lyapunov stability theory, some conditions are proposed for multi-agent networks to reach exponential asymptotic consensus, and the convergence rate is calculated by mathematical induction and differential equation. Finally, two simulations are given to validate the correctness of the analysis.
机译:本文主要研究饱和脉冲控制下多智能体网络的自反馈和领导者遵循共识。基于拉普拉斯矩阵,凸分析和李雅普诺夫稳定性理论,提出了多智能体网络达到指数渐近共识的一些条件,并通过数学归纳法和微分方程计算了收敛速度。最后,给出了两个模拟来验证分析的正确性。

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