2leader-follower consensus of networked Euler-Lagrange s'/> Finite-Time<inline-formula><tex-math notation='LaTeX'>$mathcal{L}_{2}$</tex-math></inline-formula>Leader–Follower Consensus of Networked Euler–Lagrange Systems With External Disturbances
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Finite-Time$mathcal{L}_{2}$Leader–Follower Consensus of Networked Euler–Lagrange Systems With External Disturbances

机译:有限时间 $ mathcal {L} _ {2} $ 网络的领导者-从属共识具有外部干扰的欧拉-拉格朗日系统

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摘要

This paper is concerned with finite-time L2leader-follower consensus of networked Euler-Lagrange systems in the presence of external disturbances. A distributed finite-time L2control protocol is proposed by using backstepping design such that a group of follower agents modeled by Euler-Lagrange systems can follow a desired leader agent and achieve leader-follower consensus in finite time. Moreover, the finite-time L2gain is less than or equal to a prescribed value. A simulation example of a network composed of seven two-link manipulators is given to show the effectiveness of the theoretical results.
机译:本文涉及有限时间L n 2 nleader-follower共识。分布式有限时间L n 2 n控制协议是通过使用反步设计来提出的,这样,由Euler-Lagrange系统建模的一组跟随者代理可以跟随所需的领导者代理,并在有限的时间内达成领导者与跟随者的共识。此外,有限时间L n 2 ngain小于或等于规定值。给出了一个由七个双链接操纵器组成的网络的仿真示例,以证明理论结果的有效性。

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  • 作者单位

    Key Laboratory of Advanced Control and Optimization for Chemical Processes, East China University of Science and Technology, Ministry of Education, Shanghai, China;

    Key Laboratory of Advanced Control and Optimization for Chemical Processes, East China University of Science and Technology, Ministry of Education, Shanghai, China;

    School of Software and Electrical Engineering, Swinburne University of Technology, Melbourne, VIC, Australia;

    Key Laboratory of Advanced Control and Optimization for Chemical Processes, East China University of Science and Technology, Ministry of Education, Shanghai, China;

    Department of Automatic Control and Systems Engineering, University of Sheffield, Sheffield, U.K.;

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  • 正文语种 eng
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  • 关键词

    Protocols; Multi-agent systems; Backstepping; Adaptive control; Heuristic algorithms; Algorithm design and analysis; Convergence;

    机译:协议;多智能体系统;Backstepping;自适应控制;启发式算法;算法设计与分析;收敛;

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