Wiener-Neural-Network-Based Modeling and Validation of Generalized Predictive Control on a Laboratory-Scale Batch Reactor-Reference-Cited by-同舟云学术

Wiener-Neural-Network-Based Modeling and Validation of Generalized Predictive Control on a Laboratory-Scale Batch Reactor

Published:2022-05-03 Issue:19 Volume:7 Page:16341-16351
ISSN:2470-1343
Container-title:ACS Omega
language:en
Short-container-title:ACS Omega

Author:

Shettigar J Prajwal¹^ORCID,Kumbhare Jatin²,Yadav Eadala Sarath³^ORCID,Indiran Thirunavukkarasu²^ORCID

Affiliation:

1. Department of Mechatronics Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal 576104, India

2. Advanced Process Control Lab, Department of Instrumentation and Control Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal 576104, India

3. EEV2 Department, Bosch Global Software Technologies, Bangalore 560103, India

Funder

Manipal Academy of Higher Education

Publisher

American Chemical Society (ACS)

Subject

General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acsomega.1c07149

Reference22 articles.

1. Nonlinear Model Predictive Control Using a Wiener Model of a Continuous Methyl Methacrylate Polymerization Reactor

2. Nonfragile H ∞ Stabilizing Nonlinear Systems Described by Multivariable Hammerstein Models

3. A Wiener Neural Network-Based Identification and Adaptive Generalized Predictive Control for Nonlinear SISO Systems

4. Neural network based nonlinear model predictive control for an intensified continuous reactor

5. Real-time comparison of a number of predictive controllers

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