Analyzing control properties of multi-agent linear systems

Q3 Physics and Astronomy

Cybernetics and Physics Pub Date : 2020-09-30 DOI:10.35470/2226-4116-2020-9-2-81-85

M. I. García-Planas

引用次数: 0

Abstract

The networked multi-agent systems that they are interconnected via communication channels have great applicability in multiple areas, such as power grids, bioinformatics, sensor networks, vehicles, robotics and neuroscience, for example. Consequently, they have been widely studied by scientists in different fields in particular in the field of control theory. Recently an interest has grown to analyze the control properties as consensus controllability and observability of multi-agent dynamical systems motivated by the fact that the architecture of communication network in engineering multi-agent systems is usually adjustable. In this paper, we analyze how to improve the control properties in the case of multiagent linear time-invariant dynamical systems.

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多智能体线性系统控制特性分析

通过通信通道相互连接的网络化多智能体系统在多个领域具有很大的适用性，例如电网、生物信息学、传感器网络、车辆、机器人和神经科学。因此，它们被不同领域的科学家，特别是控制理论领域的科学家广泛研究。近年来，由于工程多智能体系统的通信网络结构通常是可调的，因此对多智能体动态系统的共识可控性和可观察性控制特性的研究日益引起人们的兴趣。本文分析了如何改进多智能体线性定常动态系统的控制性能。

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

Cybernetics and Physics Chemical Engineering-Fluid Flow and Transfer Processes

CiteScore

1.70

自引率

0.00%

发文量

审稿时长

10 weeks

期刊介绍： The scope of the journal includes: -Nonlinear dynamics and control -Complexity and self-organization -Control of oscillations -Control of chaos and bifurcations -Control in thermodynamics -Control of flows and turbulence -Information Physics -Cyber-physical systems -Modeling and identification of physical systems -Quantum information and control -Analysis and control of complex networks -Synchronization of systems and networks -Control of mechanical and micromechanical systems -Dynamics and control of plasma, beams, lasers, nanostructures -Applications of cybernetic methods in chemistry, biology, other natural sciences The papers in cybernetics with physical flavor as well as the papers in physics with cybernetic flavor are welcome. Cybernetics is assumed to include, in addition to control, such areas as estimation, filtering, optimization, identification, information theory, pattern recognition and other related areas.