An appropriate subsystem configuration is a prerequisite for a successful distributed control/state estimation design. Existing subsystem decomposition methods are not designed to handle simultaneous distributed estimation and control. In this article, we address the problem of subsystem decomposition of general nonlinear process networks for simultaneous distributed state estimation and distributed control based on community structure detection. A systematic procedure based on modularity is proposed. A fast folding algorithm that approximately maximizes the modularity is used in the proposed procedure to find candidate subsystem configurations. Two chemical process examples of different complexities are used to illustrate the effectiveness and applicability of the proposed approach. © 2018 American Institute of Chemical Engineers AIChE J, 65: 904–914, 2019

中文翻译：

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过程网络的子系统分解，用于同时进行分布式状态估计和控制

适当的子系统配置是成功进行分布式控制/状态估计设计的先决条件。现有的子系统分解方法未设计为处理同时的分布式估计和控制。在本文中，我们解决了基于社区结构检测的，同时进行分布式状态估计和分布式控制的通用非线性过程网络的子系统分解问题。提出了一种基于模块化的系统程序。在建议的过程中使用一种快速折叠算法来近似最大化模块化，以找到候选子系统配置。使用两个复杂程度不同的化学过程示例来说明所提出方法的有效性和适用性。©2018美国化学工程师学会AIChE J，65：904–914，2019