Distributed Estimation and Nonlinear Model Predictive Control Using Community Detection
Distributed Estimation and Nonlinear Model Predictive Control Using Community Detection
复制标题
使用社区检测的分布式估计和非线性模型预测控制
DOI：
10.1021/acs.iecr.9b00820
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发表时间：
2019
影响因子：
4.2
通讯作者：
P. Daoutidis
中科院分区：
文献类型：
--
作者：
D. B. Pourkargar;Manjiri Moharir;A. Almansoori;P. Daoutidis
针对非线性过程系统的分布式输出反馈控制问题，提出了一种分布式滚动估计与分布式模型预测控制相结合的结构。基于模块化最大化的社区检测方法是在合适的图的基础上为估计问题和控制问题生成单独的最优分解。以苯与乙烯的烷基化反应过程为例，说明了该控制策略的应用和计算优势。
A combined distributed moving horizon estimation and distributed model predictive control architecture is proposed to address the distributed output–feedback control problem for nonlinear process systems. Community detection based on modularity maximization is used to generate separate optimal decompositions for the estimation and control problems on the basis of suitable graphs. The process of benzene alkylation with ethylene is used as a case study to illustrate the application and computational advantages of the proposed control strategy.