Data-Based Output Containment of Completely Heterogeneous Multi-Agent Systems With Unknown Dynamics and Its Application

IF 5.2 1区 工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
Shicheng Huo;Zhipeng Wang;Hao Shen;Ya Zhang;Chao Deng
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Abstract

In this paper, a data-based containment control method is proposed for multi-agent systems where the system parameters of both leaders and followers are heterogeneous and unknown. Based on the collected data from the leader systems, the least square method is first utilized to identify the parameters of the leaders. Then, the data-based adaptive distributed compensator is designed for each follower to estimate the system parameters and the states of the heterogeneous leaders. Meanwhile, the collected data from follower systems is used to construct the local observer and establish the data-based linear matrix inequalities to determine the observer gains and feedback gains. On the basis of the collected data from leader and follower systems, the data-based adaptive solutions to the output regulation equations are provided. Furthermore, the data-based containment control protocols are designed to realize that the outputs of the followers converge to the convex hull formed by the unknown heterogeneous leaders. Finally, the effectiveness of the proposed data-based control scheme is illustrated by the simulation of the numerical example and the interconnecting RLC circuits.
完全异构未知动态多智能体系统基于数据的输出包容及其应用
本文提出了一种基于数据的多智能体系统控制方法,该系统中领导者和追随者的系统参数都是异构的和未知的。首先,基于前导系统采集的数据,利用最小二乘法对前导系统的参数进行辨识。然后,为每个follower设计基于数据的自适应分布式补偿器,用于估计系统参数和异构leader的状态。同时,利用从动系统采集的数据构造局部观测器,建立基于数据的线性矩阵不等式,确定观测器增益和反馈增益。基于采集到的主从系统数据,给出了输出调节方程的数据自适应解。在此基础上,设计了基于数据的包容控制协议,以实现follower的输出收敛到由未知异构leader组成的凸包。最后,通过数值算例和RLC互连电路的仿真验证了所提出的基于数据的控制方案的有效性。
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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来源期刊
IEEE Transactions on Circuits and Systems I: Regular Papers
IEEE Transactions on Circuits and Systems I: Regular Papers 工程技术-工程:电子与电气
CiteScore
9.80
自引率
11.80%
发文量
441
审稿时长
2 months
期刊介绍: TCAS I publishes regular papers in the field specified by the theory, analysis, design, and practical implementations of circuits, and the application of circuit techniques to systems and to signal processing. Included is the whole spectrum from basic scientific theory to industrial applications. The field of interest covered includes: - Circuits: Analog, Digital and Mixed Signal Circuits and Systems - Nonlinear Circuits and Systems, Integrated Sensors, MEMS and Systems on Chip, Nanoscale Circuits and Systems, Optoelectronic - Circuits and Systems, Power Electronics and Systems - Software for Analog-and-Logic Circuits and Systems - Control aspects of Circuits and Systems.
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