Neural Network-Based Hammerstein Model Identification of a Lab-Scale Batch Reactor-Reference-Cited by-同舟云学术

Neural Network-Based Hammerstein Model Identification of a Lab-Scale Batch Reactor

Published:2023-12-21 Issue:1 Volume:9 Page:1762-1769
ISSN:2470-1343
Container-title:ACS Omega
language:en
Short-container-title:ACS Omega

Author:

Balakrishnan Murugan¹,Rajendran Vinodha¹,Prajwal Shettigar J.²^ORCID,Indiran Thirunavukkarasu³^ORCID

Affiliation:

1. Department of Electronics and Instrumentation Engineering, Annamalai University, Annamalainagar 608 002, Tamil Nadu, India

2. Department of Mechatronics, Manipal Academy of Higher Education, Manipal 576 104, Karnataka, India

3. Department of Instrumentation and Control Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal 576 104, Karnataka, 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.3c05406

Reference24 articles.

1. Development and Validation of Advanced Nonlinear Predictive Control Algorithms for Trajectory Tracking in Batch Polymerization

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

3. Parameter Estimation and an Extended Predictive-Based Tuning Method for a Lab-Scale Distillation Column

4. Optimal Energy Consumption of the Distillation Process and Its Product Purity Analysis Using Ultraviolet Spectroscopy

5. Data-Driven Modeling of a Pilot Plant Batch Reactor and Validation of a Nonlinear Model Predictive Controller for Dynamic Temperature Profile Tracking

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