Impulsive Containment Control for Linear Multi-Agent Systems with Self-Feedback and Aperiodic Sampling

Jiejie Chen, Boshan Chen, Z. Zeng, Ping Jiang, Yi Zhu
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Abstract

In this paper we discuss the impulsive containment control problem of continuous-time linear multi-agent systems. Firstly, an impulsive control protocol with self-feedback and aperiodic sampling is proposed, in which the coupling matrix do not have to be Laplacian. Utilizing the proposed protocol, the impulsive containment control problem for continuous-time linear multi-agent systems is equivalently transformed into the stabilization problem of some independent linear discrete-time switched systems. Then a mode-dependent switching-type Lyapunov function is constructed, some sufficient conditions are showed by using some linear matrix inequalities to achieve the containment control purpose. In addition, based on a linear matrix inequality, the controller gain matrix can be designed to solve the containment control problem. In obtained results, the self-feedback gain, the size and the switching frequency of the sampling intervals can play all important roles. Finally, two simulation examples are employed to validate the effectiveness of the theoretical results.
线性多智能体自反馈非周期采样系统的脉冲包容控制
讨论了连续时间线性多智能体系统的脉冲包容控制问题。首先,提出了一种具有自反馈和非周期采样的脉冲控制方案,该方案的耦合矩阵不必是拉普拉斯矩阵。利用所提出的协议,将连续时间线性多智能体系统的脉冲包容控制问题等效转化为若干独立线性离散切换系统的镇定问题。然后构造了一个模相关的切换型Lyapunov函数,利用线性矩阵不等式给出了实现包含控制的充分条件。此外,基于线性矩阵不等式,可以设计控制器增益矩阵来解决包含控制问题。在得到的结果中,自反馈增益、采样间隔的大小和开关频率都起着重要的作用。最后,通过两个仿真算例验证了理论结果的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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