Consensus control for multi-agent based on unknown input observer

被引：0
作者：
Xiang G.-L. [1 ]
Guo S.-H. [1 ]
机构：
[1] College of Electronics and Information Engineering, Suzhou University of Science and Technology, Suzhou
来源：
Kongzhi Lilun Yu Yingyong/Control Theory and Applications | 2022年 / 39卷 / 04期
基金：
中国国家自然科学基金;
关键词：
Consensus control; Multi-agent systems; Random noise; Unknown input observer;
D O I：
10.7641/CTA.2021.00875
中图分类号：
学科分类号：
摘要：
Most of the existing research results only consider the single existence of random noise or unknown input interference. In actual engineering, both often exist at the same time. In the context, This paper proposes a consensus control protocol method for a class of nonlinear multi-agent systems with unknown input interference and random noise. First, an unknown input observer is designed for a single agent system to eliminate the influence of interference items on state estimation. Refer to the Kalman filter algorithm to solve the state feedback matrix to minimize the covariance of the output residual signal, thereby enhancing the system's robustness to random noise. Then, based on the state estimation information of the observer, a robust consensus control protocol is designed and convert the problem into a linear matrix inequality problem to solve it. Finally, a numerical simulation proves the correctness and effectiveness of the proposed method. © 2022, Editorial Department of Control Theory & Applications. All right reserved.
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页码：682 / 690
页数：8
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