Work

Fault-Tolerant Adaptive Synchronization for High-Order Discrete-Time Multiagent Systems With Stochastic Noises

Year: 2025

Type: article

Abstract: This paper addresses fault-tolerant adaptive synchronization for a category of high-order discrete-time multi-agent systems (MASs) influenced by stochastic noise. Built upon a spanning directed acyclic graph (SDAG), a backstepping-based framework is introduced for implementing controllers. To be specific, under the proposed framework, all unknown information are accumulated at last step and only one neural network (NN) is utilized to implement the controller design for each agent. As a consequence, the corresponding intermediate NN approximations for virtual controllers are released. Furthermore, circular dependencies are avoided with the assistance of SDAG, ensuring the feasibility of the controllers in multiagent setting. By utilizing the Lyapunov difference approach, all signals in the MASs are guaranteed to be exponential mean-square (EMS) bounded. Ultimately, simulation studies involving five pendulum systems are performed to demonstrate the effectiveness of the proposed strategy.

Source: IEEE Transactions on Automation Science and Engineering

DOI: 10.1109/tase.2025.3562514

Authors: Wenqi Xu, Xiaoping Liu, Tong Wang, Xiaokun Liu

Institutions: Harbin Institute of Technology, Shanghai Jiao Tong University, Henan University of Technology

Language: English

Topic: Distributed Control Multi-Agent Systems

Subfield: Computer Networks and Communications

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

Estimated APC paid: $2,645

Funders: National Natural Science Foundation of China, National Key Research and Development Program of China