Event‐triggered Hi/H∞ optimization approach to distributed fault detection for multi‐agent systems
Year: 2025
Type: article
Abstract: ABSTRACT In this paper, the fault detection problem of event‐triggered distributed multi‐agent systems is addressed using the optimization approach. Owing to the active packet loss behavior of the event‐triggered mechanism, the event‐triggered transmission error which is the error between the data of the nontriggered time and current actual time is inevitable. Firstly, the multi‐agent systems model with event‐triggered mechanism is represented by the variable sampling period method. Subsequently, the distributed fault detection filter with optimization for the multi‐agent systems model is developed to decouple the event‐triggered transmission error from the residual signal. Meanwhile, the optimum solution of the fault detection filter is given, and the state estimation error convergence is analyzed. Finally, the comparing simulations are given to verify the effectiveness and feasibility of the proposed method in the multi‐agent systems composed of four F‐18 aircrafts.
Source: Asian Journal of Control
DOI: 10.1002/asjc.3655
Authors: Wendong Gai, Yaxin Sun, Guilin Zhang, Maiying Zhong
Institution: Shandong University of Science and Technology
Language: English
Subfield: Computer Networks and Communications
Field: Computer Science
Domain: Physical Sciences
Open Access status: bronze
Award: G1554495203
OpenAlex ID: W4409440335