平衡有向图非线性一致的无源性分析

IF 2.6 3区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS
Feng-Yu Yue, Daniel Zelazo
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引用次数: 0

摘要

本文研究了平衡有向图上的多智能体系统的输出一致性问题。虽然基于被动性的方法被广泛用于分析无向共识协议,但我们表明它们通常不适用于有向线性共识协议。为了解决这一限制,我们提出了一种通用方法,可以对具有定向耦合的网络系统进行基于无源性的分析。然后,我们通过将一般输出一致性问题重新表述为子流形上的收敛分析,减轻了非线性和有向互连所带来的复杂性。在此框架内,我们进一步关注了稳定问题,即输出共识问题的一种特殊形式,并建立了平衡有向图上多智能体系统稳定的充分无源条件。数值算例验证了计算结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A passivity analysis for nonlinear consensus on balanced digraphs
This work deals with the output consensus problems for multi-agent systems over balanced digraphs. While passivity-based approaches are widely used for analyzing undirected consensus protocols, we show that they are generally not applicable to the directed linear consensus protocol. To address this limitation, we propose a general approach that enables a passivity-based analysis for network systems with directed couplings. Then, we mitigate the complexity introduced by nonlinearities and directed interconnections by reformulating the general output consensus problem as a convergence analysis on a submanifold. Within this framework, we further focus on the stabilization problem, a specific form of the output consensus problem, and establish a sufficient passivity-based condition for stabilizing multi-agent systems over balanced digraphs. The results are supported by a numerical example.
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来源期刊
European Journal of Control
European Journal of Control 工程技术-自动化与控制系统
CiteScore
5.80
自引率
5.90%
发文量
131
审稿时长
1 months
期刊介绍: The European Control Association (EUCA) has among its objectives to promote the development of the discipline. Apart from the European Control Conferences, the European Journal of Control is the Association''s main channel for the dissemination of important contributions in the field. The aim of the Journal is to publish high quality papers on the theory and practice of control and systems engineering. The scope of the Journal will be wide and cover all aspects of the discipline including methodologies, techniques and applications. Research in control and systems engineering is necessary to develop new concepts and tools which enhance our understanding and improve our ability to design and implement high performance control systems. Submitted papers should stress the practical motivations and relevance of their results. The design and implementation of a successful control system requires the use of a range of techniques: Modelling Robustness Analysis Identification Optimization Control Law Design Numerical analysis Fault Detection, and so on.
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