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Time-varying output formation tracking of heterogeneous linear multi-agent systems with multiple leaders and switching topologies

机译:具有多个领导者和切换拓扑的异构线性多主体系统的时变输出形成跟踪

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This paper studies the time-varying output formation tracking problems for heterogeneous linear multi-agent systems with multiple leaders in the presence of switching directed topologies, where the agents can have different system dynamics and state dimensions. The outputs of followers are required to accomplish a given time-varying formation configuration and track the convex combination of leaders' outputs simultaneously. Firstly, using the neighboring relative information, a distributed observer is constructed for each follower to estimate the convex combination of multiple leaders' states under the influences of switching directed topologies. The convergence of the observer is proved based on the piecewise Lyapunov theory and the threshold for the average dwell time of the switching topologies is derived. Then, an output formation tracking protocol based on the distributed observer and an algorithm to determine the control parameters of the protocol are presented. Considering the features of heterogeneous dynamics, the time-varying formation tracking feasible constraints are provided, and a compensation input is applied to expand the feasible formation set. Sufficient conditions for the heterogeneous multi-agent systems with multiple leaders and switching directed topologies to achieve the desired time-varying output formation tracking under the designed protocol are proposed. Finally, simulation examples are given to validate the theoretical results. (C) 2018 The Franklin Institute. Published by Elsevier Ltd. All rights reserved.
机译:本文研究了在切换有向拓扑的情况下,具有多个领导者的异构线性多智能体系统的时变输出形成跟踪问题,其中智能体可以具有不同的系统动力学和状态维度。需要跟随者的输出来完成给定的时变编队配置并同时跟踪领导者输出的凸组合。首先,利用邻近的相对信息,为每个跟随者构造一个分布式观察者,以估计在切换有向拓扑的影响下多个领导者状态的凸组合。基于分段李雅普诺夫理论证明了观测器的收敛性,并推导了开关拓扑的平均停留时间的阈值。然后,提出了一种基于分布式观测器的输出编队跟踪协议和一种确定协议控制参数的算法。考虑到异构动力学的特点,提供了随时间变化的编队跟踪可行约束,并采用补偿输入来扩展可行编队集。提出了在设计的协议下,具有多个领导者和切换定向拓扑的异构多智能体系统的充分条件,以实现所需的随时间变化的输出形成跟踪。最后,通过仿真实例验证了理论结果。 (C)2018富兰克林研究所。由Elsevier Ltd.出版。保留所有权利。

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  • 来源
    《Journal of the Franklin Institute》 |2019年第1期|539-560|共22页
  • 作者单位

    Beihang Univ, Beijing Adv Innovat Ctr Big Data & Brain Comp, Beijing 100191, Peoples R China;

    Minist Educ, Key Lab Syst Control & Informat Proc, Shanghai 200240, Peoples R China;

    Beihang Univ, Sch Automat Sci & Elect Engn, Sci & Technol Aircraft Control Lab, Beijing 100191, Peoples R China;

    Beijing Inst Elect Syst Engn, Beijing 100854, Peoples R China;

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