领导-随从多智能体系统的规定时间反演算法

Yingjiang Zhou, Yong Ding, Zicheng Yu, Guoping Jiang
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引用次数: 0

摘要

利用回溯法研究了非线性高阶系统和领导-随从系统的鲁棒规定时间算法。首先,对于非线性高阶系统,通过在每一步设计虚拟输入,使状态在规定时间内收敛到零。其次,对于领导-追随者系统,定义新的误差函数,使追随者之间达成共识,并保证在任意设定的规定时间内,追随者的状态与领导者的状态相同。此外,所提出的算法都具有抗干扰能力。为了证明所提算法的有效性,最后进行了两个数值模拟。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Prescribed-Time Backstepping Algorithms for Leader-Follower Multi-Agent Systems
The robust prescribed-time algorithms for nonlinear high-order systems and leader-follower systems are investigated with the help of backstepping approach. Firstly, for nonlinear high-order systems, the states can converge to zero within a prescribed time by designing virtual input in each step. Secondly, for leader-follower systems, new error function is defined to achieved consensus among followers and to ensure that follower’s states are identical to leader’s states within the prescribed time that has been arbitrarily set. In addition, the proposed algorithms all have disturbance rejection ability. To show that the suggested algorithms are effective, two numerical simulations are utilised in the end.
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