Neural networks-based iterative learning control consensus for periodically time-varying multi-agent systems

作     者：CHEN JiaXi LI JunMin CHEN WeiSheng GAO WeiFeng 

作者机构：School of Mathematics and StatisticsXidian UniversityXi'an 710071China School of Aerospace Science and TechnologyXidian UniversityXi'an 710071China 

出 版 物：《Science China(Technological Sciences)》 (中国科学（技术科学英文版）)

年 卷 期：2024年第67卷第2期

页      面：464-474页

核心收录：

学科分类：12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 081104[工学-模式识别与智能系统] 08[工学] 0805[工学-材料科学与工程（可授工学、理学学位）] 0835[工学-软件工程] 0802[工学-机械工程] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 080201[工学-机械制造及其自动化] 

基　　金：supported by the National Natural Science Foundation of China(Grant Nos.62203342,62073254,92271101,62106186,and62103136) the Fundamental Research Funds for the Central Universities(Grant Nos.XJS220704,QTZX23003,and ZYTS23046) the Project funded by China Postdoctoral Science Foundation(Grant No.2022M712489) the Natural Science Basic Research Program of Shaanxi(Grant Nos.2023-JC-YB-585 and 2020JM-188) 

主　　题：multi-agent systems adaptive iterative learning control nonlinearly parameterized dynamics Fourier series expansion neural networks 

摘      要：In this paper,the problem of adaptive iterative learning based consensus control for periodically time-varying multi-agent systems is studied,in which the dynamics of each follower are driven by nonlinearly parameterized terms with periodic *** networks and Fourier base expansions are introduced to describe the periodically time-varying dynamic *** this basis,an adaptive learning parameter with a positively convergent series term is constructed,and a distributed control protocol based on local signals between agents is designed to ensure accurate consensus of the closed-loop ***,consensus algorithm is generalized to solve the formation control ***,simulation experiments are implemented through MATLAB to demonstrate the effectiveness of the method used.