Work

Adaptive Predefined‐Time Consensus Control for Stochastic Multi‐Agent Systems

Year: 2025

Type: article

Abstract: ABSTRACT This paper aims to study the adaptive predefined‐time consensus control for stochastic multi‐agent systems (SMASs). First, the classic Bihari's inequality has been extended and a Lyapunov theorem on predefined‐time stability for nonlinear stochastic systems is established. Second, a distributed predefined‐time consensus protocol is proposed for SMASs by leveraging the adaptive techniques. It is worth emphasizing that the proof of the validity of the control protocol is based on the predefined‐time stability that we have established. Finally, an example is given to verify the main results.

Source: International Journal of Robust and Nonlinear Control

DOI: 10.1002/rnc.70014

Authors: Guanli Xiao, Lulu Ren, Quanxin Zhu, JinRong Wang

Institutions: Guizhou University, Wuhan Textile University, Hunan Normal University

Language: English

Topic: Distributed Control Multi-Agent Systems

Subfield: Computer Networks and Communications

Field: Computer Science

Domain: Physical Sciences

Open Access status: bronze

Funders: National Natural Science Foundation of China, Guizhou University

Awards: G4460222072, G6073250630