Work

Adaptive Tracking Control for Incommensurate Fractional‐Order Switched Nonlinear Multi‐Agent Systems

Year: 2025

Type: article

Abstract: ABSTRACT 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.

Source: International Journal of Adaptive Control and Signal Processing

DOI: 10.1002/acs.4038

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

Institutions: Guizhou University, Guizhou Institute of Technology

Language: English

Topic: Distributed Control Multi-Agent Systems

Subfield: Computer Networks and Communications

Field: Computer Science

Domain: Physical Sciences

Open Access status: bronze

Funder: National Natural Science Foundation of China

Award: G842610578