基于优化的分布式和分散控制网络分区

IF 3.3 2区计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS

Journal of Process Control Pub Date : 2025-02-01 DOI:10.1016/j.jprocont.2024.103357

Alireza Arastou , Ye Wang , Erik Weyer

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引用次数: 0

摘要

由于在实施高阶控制系统、数据收集和驱动方面存在困难，大规模网络的控制可能具有挑战性。因此，通常使用分布式和分散控制系统。本文提出了一种用于分散和分布式控制的基于优化的分区方法。它考虑了计算成本和通信成本，同时也考虑了子系统的可控性。给出了一种求解优化问题的有效算法。该方法在配水系统的案例研究中得到了验证。

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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Optimization-based network partitioning for distributed and decentralized control

Control of large-scale networks can be challenging due to difficulties in implementation of high-order control systems, data collection, and actuation. Distributed and decentralized control systems are therefore commonly used. This paper proposes an optimization-based partitioning approach for use in decentralized and distributed control. It factors in both computational and communication costs, while also taking into consideration the controllability of the subsystems. An efficient algorithm for solving the optimization problem is also provided. The proposed approach is demonstrated on case studies from water distribution systems.

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来源期刊

Journal of Process Control 工程技术-工程：化工

CiteScore

7.00

自引率

11.90%

发文量

159

审稿时长

74 days

期刊介绍： This international journal covers the application of control theory, operations research, computer science and engineering principles to the solution of process control problems. In addition to the traditional chemical processing and manufacturing applications, the scope of process control problems involves a wide range of applications that includes energy processes, nano-technology, systems biology, bio-medical engineering, pharmaceutical processing technology, energy storage and conversion, smart grid, and data analytics among others. Papers on the theory in these areas will also be accepted provided the theoretical contribution is aimed at the application and the development of process control techniques. Topics covered include: • Control applications• Process monitoring• Plant-wide control• Process control systems• Control techniques and algorithms• Process modelling and simulation• Design methods Advanced design methods exclude well established and widely studied traditional design techniques such as PID tuning and its many variants. Applications in fields such as control of automotive engines, machinery and robotics are not deemed suitable unless a clear motivation for the relevance to process control is provided.