Partially Decentralized Controller Design <i>via</i> Model Predictive Control<sup>*</sup>

郝玉春; 李强; 谭文; 李东海

Your Location：

Home >

Browse articles >

Partially Decentralized Controller Design via Model Predictive Control^*

Updated：2026-01-06

- Partially Decentralized Controller Design via Model Predictive Control^*
- Partially Decentralized Controller Design via Model Predictive Control^*
- 中国化学工程学报（英文版） 2012年20卷第6期页码：1094-1101
- Affiliations：
  
  1. School of Control and Computer Engineering, North China Electric Power University, Beijing 102206, Chinap
  2. State Key Lab of Power Systems, Department of Thermal Engineering, Tsinghua University,Beijing,China,100084
- Author bio：
- Funds：
  
  Supported by the National Natural Science Foundation of China (61174096);the Natural Science Foundation of Beijing(4122075);the Natural Science Foundation of Hebei Province (F2011502069)
- DOI：
  中图分类号：
- 纸质出版：2012
- Accepted：
Scan QR Code
郝玉春, 李强, 谭文, 等. Partially Decentralized Controller Design via Model Predictive Control^*[J]. 中国化学工程学报（英文版）, 2012,20(6):1094-1101.

Model Predictive Control
郝玉春, 李强, 谭文, 等. Partially Decentralized Controller Design via Model Predictive Control^*[J]. 中国化学工程学报（英文版）, 2012,20(6):1094-1101. DOI：

Model Predictive Control DOI：

摘要

Abstract

An expansion procedure to design partially decentralized controllers

via

model predictive control is proposed in this paper.Partially decentralized control is a control structure that lies between a fully decentralized structure and a fully centralized one

and has the advantage of achieving comparable performance as a fully centralized controller but with simpler structure.The proposed method follows the expansion method proposed in a previous paper where internal model control (IMC) was used to design controllers for non-square subsystems.The method requires computing the pseudo-inverse of a non-square matrix

via

pseudo-inverse factors.Instead

the proposed method uses dynamic matrix control (DMC) to design PID controllers for non-square subsystems without using additional factors.The effectiveness of the proposed method is demonstrated on several chemical examples.Simulation results show that the proposed method is simple and can achieve better performance.

关键词

Keywords

references

浏览量

876

Downloads

CSCD

文章被引用时，请邮件提醒。

Submit

工具集

关联资源

Robust particle filtering-based nonlinear model predictive control: Application to PEMFC process

A fuzzy compensation-Koopman model predictive control design for pressure regulation in proten exchange membrane electrolyzer

Uncertainty and disturbance estimator-based model predictive control for wet flue gas desulphurization system

Composition control and temperature inferential control of dividing wall column based on model predictive control and PI strategies

Just-in-time learning based integrated MPC-ILC control for batch processes

Partially Decentralized Controller Design via Model Predictive Control^*

Partially Decentralized Controller Design via Model Predictive Control^*

DOI：

摘要

Abstract

关键词

Keywords

references

Partially Decentralized Controller Design via Model Predictive Control*

Partially Decentralized Controller Design via Model Predictive Control*

DOI：

摘要

Abstract

关键词

Keywords

references

Partially Decentralized Controller Design via Model Predictive Control^*

Partially Decentralized Controller Design via Model Predictive Control^*