Distributed Consensus Control of Nonlinear Multiagent Systems With Output Noises via a Switching Classification Approach

• 成果类型: Article
• 署名作者: Li, Kuo; Ding, Steven X.; Hua, Changchun; Li, Yafeng; Yang, Yana
• 署名单位: Yanshan University; University of Duisburg Essen
• 刊物名称: IEEE TRANSACTIONS ON AUTOMATIC CONTROL
• ISSN/ISSBN: 0018-9286
• DOI: 10.1109/TAC.2025.3528836
• 发表日期: 2025
• 关键词: BIPARTITE CONSENSUS; sensor

摘要

This article explores the distributed leader-following consensus control problem of nonlinear multiagent systems subject to stochastic output sensing noises under a fixed directed topology. Different from existing research, we pay attention to the effect of multiplicative stochastic noises on the sensors, and the noise intensity can be described as an unknown time-varying function with an arbitrarily large bound. In this condition, we put forward the noise intensity classification-based distributed output feedback consensus approach. First, we divide the noise intensity into small-noise intensity and large-noise intensity by designing a demarcation constant, and we introduce the switching property to distinguish them. Then, for the follower, we design the distributed controller based on the established compensator utilizing relevant outputs, and we produce sufficient conditions for the controller to be implemented. Subsequently, a unified Lyapunov function is constructed to prove that all agents can realize the full-state exponential consensus in mean square under the action of the controller. Finally, the simulation example is provided to demonstrate the efficiency of our approach.