Multivariable PID Control Using Improved State Space Model Predictive Control Optimization-Reference-Cited by-同舟云学术

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Multivariable PID Control Using Improved State Space Model Predictive Control Optimization

Published:2015-05-13 Issue:20 Volume:54 Page:5505-5513
ISSN:0888-5885
Container-title:Industrial & Engineering Chemistry Research
language:en
Short-container-title:Ind. Eng. Chem. Res.

Author:

Wu Sheng¹

Affiliation:

1. Zhejiang Huawei Technology Corporation Ltd., Hangzhou 310018, P. R. China

Publisher

American Chemical Society (ACS)

Subject

Industrial and Manufacturing Engineering,General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.iecr.5b00367

Reference54 articles.

1. Tuning Proportional−Integral−Derivative Controllers for Integrator/Deadtime Processes

2. Dynamic Modeling and Nonlinear Predictive Control Based on Partitioned Model and Nonlinear Optimization

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3. Experimental performances of nonlinear GPC and discrete–time PID in multivariate process: NARIMAX and ARX models in temperature control of reactive distillation column in synthesis of biodiesel from waste cooking oil;Pamukkale University Journal of Engineering Sciences;2022

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