Neural network-based Hammerstein model identification of a lab-scale batch reactor
M Balakrishnan, V Rajendran, SJ Prajwal, T Indiran - ACS omega, 2023 - ACS Publications
This paper focuses on two types of neural network-based Hammerstein model identification
methods for the acrylamide polymerization reaction of a batch reactor process. The first …
methods for the acrylamide polymerization reaction of a batch reactor process. The first …
Wiener-Neural-Network-Based Modeling and Validation of Generalized Predictive Control on a Laboratory-Scale Batch Reactor
Batch reactors are large vessels in which chemical reactions take place. They are mostly
found to be used in process control industries for processes such as reactant mixing, waste …
found to be used in process control industries for processes such as reactant mixing, waste …
Machine Learning Based Fault Classification in Pilot Plant Batch 2 Reactor: Using Support Vector Machine
A Simiyon, C Sachidanand… - ACS …, 2024 - ACS Publications
Identifying and diagnosing faults is a critical task in process industries to maintain effective
monitoring of process and plant safety. Minimizing process downtime is critical for …
monitoring of process and plant safety. Minimizing process downtime is critical for …
CNN-LSTM-Based Nonlinear Model Predictive Controller for Temperature Trajectory Tracking in a Batch Reactor
A Selvamurugan, P Kunnathur Ganesan, SS Nayak… - ACS …, 2024 - ACS Publications
Batch reactors are type of chemical reactors, where the reactants are loaded to process for a
defined batch time and the products are removed after the polymerization reaction …
defined batch time and the products are removed after the polymerization reaction …
Development of a nonlinear model predictive control-based nonlinear three-mode controller for a nonlinear system
SS Kumar, T Indiran, GV Itty, P Shettigar J, TV Paul - ACS omega, 2022 - ACS Publications
This paper presents the novelty on a nonlinear proportional integral derivative (NPID)
controller developed from the gain values obtained using the Lyapunov-based nonlinear …
controller developed from the gain values obtained using the Lyapunov-based nonlinear …
Influence of Estimators and Numerical Approaches on the Implementation of NMPCs
FARD Lima, RR Faria, R Curvelo, MCF Cadorini… - Processes, 2023 - mdpi.com
Advanced control strategies, together with state-estimation methods, are frequently applied
to nonlinear and complex systems. It is crucial to understand which of these are the most …
to nonlinear and complex systems. It is crucial to understand which of these are the most …
Validation of Nonlinear PID Controllers on a Lab-Scale Batch Reactor
P Shettigar J, A Pai, Y Joshi, T Indiran… - … Conference on Advanced …, 2022 - Springer
With wide acceptance of batch processes for polymer production, this study aims to model
the temperature dynamics of a batch polymerization reactor using Hammerstein and neural …
the temperature dynamics of a batch polymerization reactor using Hammerstein and neural …
Validation of Class of Non-Linear Controllers on Lab Scale Batch Reactor: Sliding Mode Controllers
K Narwekar, SJ Prajwal, T Indiran - Recent Advances in Computational … - taylorfrancis.com
This article aims to implement the sliding mode controllers (SMCs), which is a non-linear
controller with high computational intensity. Also, the implementation of various non-linear …
controller with high computational intensity. Also, the implementation of various non-linear …
Red neuronal artificial evolutiva para el control de temperatura en un reactor batch de polimerización
FJ Sánchez-Ruiz, EA Hernández… - … . Revista de Ciencia …, 2023 - scielo.senescyt.gob.ec
La integración de técnicas de inteligencia artificial introduce nuevas perspectivas en la
aplicación de estos métodos. Este trabajo presenta la combinación de redes neuronales y …
aplicación de estos métodos. Este trabajo presenta la combinación de redes neuronales y …