基于采样数据的多智能体系统事件触发仿射编队控制

Xiaofeng Chai, Yue Sun, Na Zhang, Shuai Ma, Yuxiang Wang, Qi Diao
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摘要

本文采用基于样本数据的事件触发方法解决了仿射编队控制问题。这个系统中的个体具有一阶动力学。分别提出了两种基于采样信息的方法。作为抽样方案的结果,芝诺行为被排除在外。在自我触发策略中避免了持续的沟通。可以证明,在两种控制方案下,最终都实现了仿射形成。最后,通过数值算例验证了所提策略的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Sampled-data-based Event-triggered Affine Formation Control for Multi-agent Systems with Intergrator Dynamics
In this paper, the affine formation control problem is adressed using event-triggered method based on the sample data. Individuals in this system has first-order dynamics. Two different methods basing on sampled information are developed respectively. Zeno behavior is excluded as a result of the sampling schemein. Continous communication is avoided in self-triggered strategy. It can be proved that affine formation is realized eventually under two proposed control schemes. Finally, numerical examples show the validity of proposed strategies.
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