文献类型：期刊文献

英文题名：Adaptive Tracking Control for Incommensurate Fractional-Order Switched Nonlinear Multi-Agent Systems

作者：Zhou, Jianping Long, Fei Yang, Hui Ren, Lihui

第一作者：Zhou, Jianping

通信作者：Long, F[1]|[144401c07006f9bfbbbd7]龙飞;[14440e98202afd796d385]龙飞;

机构：[1]Guizhou Univ, Sch Elect Engn, Guiyang, Peoples R China;[2]Guizhou Inst Technol, Sch Artificial Intelligence & Elect Engn, Guiyang, Peoples R China

第一机构：Guizhou Univ, Sch Elect Engn, Guiyang, Peoples R China

通信机构：corresponding author), Guizhou Inst Technol, Sch Artificial Intelligence & Elect Engn, Guiyang, Peoples R China.|贵州理工学院;

年份：2025

外文期刊名：INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING

收录：;EI(收录号：20252518630878);Scopus(收录号：2-s2.0-105008214259);WOS:【SCI-EXPANDED(收录号:WOS:001509684000001)】；

基金：The authors appreciate the anonymous reviewers for their valuable comments and suggestions, which have significantly improved the quality of this paper. This work is supported in part by the National Natural Science Foundation of China (61863006), the Key Projects of Basic Research Program of Guizhou Province (20191416), and the Innovation Team of Universities in Guizhou Province (2022033).

语种：英文

外文关键词：adaptive tracking control; incommensurate fractional-order; multi-agent systems; neural networks approximation; switched systems

摘要：In this paper, we address the problem of adaptive consensus tracking control for a class of incommensurate fractional-order switched nonlinear multi-agent systems with external disturbance. All the followers in this study are described as arbitrarily switched heterogeneous fractional-order systems (FOSs), wherein the difficulty of incommensurate fractional order is solved by employing the continuity of fractional differentiation, and the derivative order of the adaptation laws is not determined by the order of the systems. A distributed adaptive control scheme is proposed within the framework of the backstepping control method, common Lyapunov function, and radial basis function neural networks (RBFNNs). By adjusting the parameters appropriately, all the signals of the multi-agent systems (MASs) are bounded, and the consensus tracking error eventually converges to a small neighborhood of the origin. Finally, the effectiveness of the proposed control strategy is verified through a numerical simulation example.