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

IF 3.2 3区计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS

International Journal of Robust and Nonlinear Control Pub Date : 2025-06-11 DOI:10.1002/rnc.70014

Guanli Xiao, Lulu Ren, Quanxin Zhu, JinRong Wang

引用次数: 0

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.

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随机多智能体系统的自适应预定义时间一致性控制

研究随机多智能体系统的自适应预定义时间一致性控制问题。首先，对经典的Bihari不等式进行了推广，建立了非线性随机系统的Lyapunov定理。其次，利用自适应技术，提出了一种分布式的预定义时间共识协议。值得强调的是，控制协议有效性的证明是基于我们已经建立的预定义时间稳定性。最后给出了一个算例来验证主要结果。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

International Journal of Robust and Nonlinear Control 工程技术-工程：电子与电气

CiteScore

6.70

自引率

20.50%

发文量

505

审稿时长

2.7 months

期刊介绍： Papers that do not include an element of robust or nonlinear control and estimation theory will not be considered by the journal, and all papers will be expected to include significant novel content. The focus of the journal is on model based control design approaches rather than heuristic or rule based methods. Papers on neural networks will have to be of exceptional novelty to be considered for the journal.