具有自适应协议和有界干扰的多智能体系统的可扩展δ $$ \delta $$级相干状态同步

IF 3.8 4区计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS International Journal of Adaptive Control and Signal Processing Pub Date : 2025-01-14 DOI:10.1002/acs.3953

Donya Nojavanzadeh, Zhenwei Liu, Ali Saberi, Anton A. Stoorvogel

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引用次数: 0

摘要

在本文中，我们研究了多智能体系统（MAS）的可扩展δ $$ \delta $$级相干状态同步，其中智能体受到有界干扰/噪声的影响。我们提出了一个完全基于智能体模型知识设计的无标度框架，该框架与通信图和网络规模无关。我们将每个智能体的一致性级别定义为与其邻居的不一致动态加权和的规范。目标是在没有关于干扰的先验信息的情况下将网络的相干级限制为δ $$ \delta $$。

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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Scalable δ $$ \delta $$ -Level Coherent State Synchronization of Multi-Agent Systems with Adaptive Protocols and Bounded Disturbances

In this paper, we study scalable $δ$ -level coherent state synchronization for multi-agent systems (MAS) where the agents are subject to bounded disturbances/noises. We propose a scale-free framework designed solely based on the knowledge of agent models and agnostic to the communication graph and the size of the network. We define the level of coherency for each agent as the norm of the weighted sum of the disagreement dynamics with its neighbors. The objective is to restrict the network's coherency level to $δ$ without a-priori information about the disturbance.

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来源期刊

International Journal of Adaptive Control and Signal Processing 工程技术-工程：电子与电气

CiteScore

5.30

自引率

16.10%

发文量

163

审稿时长

5 months

期刊介绍： The International Journal of Adaptive Control and Signal Processing is concerned with the design, synthesis and application of estimators or controllers where adaptive features are needed to cope with uncertainties.Papers on signal processing should also have some relevance to adaptive systems. The journal focus is on model based control design approaches rather than heuristic or rule based control design methods. All papers will be expected to include significant novel material. Both the theory and application of adaptive systems and system identification are areas of interest. Papers on applications can include problems in the implementation of algorithms for real time signal processing and control. The stability, convergence, robustness and numerical aspects of adaptive algorithms are also suitable topics. The related subjects of controller tuning, filtering, networks and switching theory are also of interest. Principal areas to be addressed include: Auto-Tuning, Self-Tuning and Model Reference Adaptive Controllers Nonlinear, Robust and Intelligent Adaptive Controllers Linear and Nonlinear Multivariable System Identification and Estimation Identification of Linear Parameter Varying, Distributed and Hybrid Systems Multiple Model Adaptive Control Adaptive Signal processing Theory and Algorithms Adaptation in Multi-Agent Systems Condition Monitoring Systems Fault Detection and Isolation Methods Fault Detection and Isolation Methods Fault-Tolerant Control (system supervision and diagnosis) Learning Systems and Adaptive Modelling Real Time Algorithms for Adaptive Signal Processing and Control Adaptive Signal Processing and Control Applications Adaptive Cloud Architectures and Networking Adaptive Mechanisms for Internet of Things Adaptive Sliding Mode Control.