Work

Fault‐Tolerant Consensus of Semi‐Markov Multi‐Agent Systems: A Quantity‐Limited Controller

Year: 2026

Type: article

Abstract: ABSTRACT This paper proposes a solution to the fault‐tolerant consensus problem in linear semi‐Markov jump multi‐agent systems (MASs) by designing a quantity‐limited controller (QLC). Initially, the article establishes the mapping relationship between the system modes and controllers using a stationary probability distribution. Therefore, controllers are constructed in a limited quantity to address the practical issue of mismatch between the number of controllers and the number of system modes. In addition, to account for potential actuator failures, such as mechanical, electrical, and software failures, the paper integrates fault‐tolerant control strategies into limited‐quantity controllers. This integration facilitates the solution to the leader‐following consensus problem in MASs. Ultimately, the article demonstrates the effectiveness and superiority of the proposed approach over linear F‐18 aircraft model.

Source: International Journal of Robust and Nonlinear Control

DOI: 10.1002/rnc.70830

Authors: Yueyuan Zhang, Mingcong Li, Jun Huang, Yuan Sun, Xiaoli Luan

Institutions: Soochow University, Jiangnan University

Language: English

Topic: Distributed Control Multi-Agent Systems

Subfield: Control and Systems Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: bronze

Funders: National Natural Science Foundation of China, Natural Science Foundation of Jiangsu Province

Awards: G1111411071, G2403515543, G4450908433, G757213689