Observer-based Data-driven Sliding Mode Control for a Discrete-time Nonlinear Multiagent Systems

被引：0
|
作者：
Yin, Caiyun [1 ,2 ]
Lin, Guohuai [1 ,2 ]
Chen, Guangdeng [1 ,2 ]
Ma, Hui [3 ]
Li, Hongyi [1 ,2 ]
机构：
[1] Guangdong Univ Technol, Sch Automat, Guangzhou 510006, Guangdong, Peoples R China
[2] Guangdong Univ Technol, Guangdong Prov Key Lab Intelligent Decis & Cooper, Guangzhou 510006, Guangdong, Peoples R China
[3] Guangdong Univ Technol, Sch Math & Stat, Guangzhou 510006, Peoples R China
来源：
2023 IEEE 12TH DATA DRIVEN CONTROL AND LEARNING SYSTEMS CONFERENCE, DDCLS | 2023年
基金：
中国国家自然科学基金;
关键词：
Data-driven; Multiagent systems; Sliding mode control; CONSENSUS TRACKING;
D O I：
10.1109/DDCLS58216.2023.10166689
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this work, an observer-based sliding mode control strategy is proposed for a discrete-time nonlinear multiagent systems (MASs) with unknown disturbance. Only some agents are capable of acquiring the reference trajectory, and the dynamic models of the agents are unknown. Unlike the traditional model-based consensus control protocol, this method is data-driven and solely dependent on the input/output (I/O) data of the agents. The stability of the proposed control strategy is ensured by theoretical analysis and the simulation outcomes ultimately validate the viability of the developed approach.
引用
收藏
页码：467 / 472
页数：6
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