基于多智能体的大型系统联合控制及其在船舶横摇控制中的应用

Q. Dong, Kristen Bradshaw, Stephen Chaves, Li Bai, S. Biswas
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引用次数: 3

摘要

大型系统是指由许多相互连接的局部系统组成的系统。传统的集中控制方案由于其复杂的局部和全局动态行为以及计算困难而不适用于此类大规模系统。本文介绍了一种基于主体的联邦控制的总体框架,这种控制是由部分自治的国家由联邦政府联合起来的政治结构所驱动的。同样,基于多代理的联邦控制系统由本地自治子系统(基于代理的控制器)组成,这些子系统相互协作以提供整体(大规模)系统行为。在这个概念中,每个智能体对其他智能体的状态有部分观察,并相应地执行局部控制律,以满足整个系统级别的性能需求。给出了局部和全局连接稳定的多智能体联合控制的一般结构的初步结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multi-agent based federated control of large-scale systems with application to ship roll control
Large-scale systems refer to systems that consist of many interconnected local systems. Conventional centralized control schemes are not suitable for such large-scale systems because of their complex local and global dynamic behavior as well as computational difficulties. This paper introduces the general framework of an agent-based federated control motivated by the political structure where partially self-governing states are united by a federal government. Likewise, a multi-agent based federated control system is composed of local autonomous subsystems (agent-based controllers) that cooperate to provide an overall (large-scale) system behavior. In this concept, each agent has partial observations of the state of other agents and executes the local control law correspondingly to satisfy the performance requirements at the overall system level. Preliminary results are presented on the general architecture of multi-agent federated control for local and global connective stability.
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