Real‐time data‐driven PID controller for multivariable process employing deep neural network-Reference-Cited by-同舟云学术

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Real‐time data‐driven PID controller for multivariable process employing deep neural network

Published:2022-01-09 Issue:6 Volume:24 Page:3240-3251
ISSN:1561-8625
Container-title:Asian Journal of Control
language:en
Short-container-title:Asian Journal of Control

Author:

Jeyaraj Pandia Rajan¹^ORCID,Nadar Edward Rajan Samuel¹

Affiliation:

1. Department of Electrical and Electronics Engineering Mepco Schlenk Engineering College Sivakasi India

Publisher

Wiley

Subject

Control and Systems Engineering,Electrical and Electronic Engineering,Mathematics (miscellaneous)

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/asjc.2713

Reference32 articles.

1. Dynamic Distributed Monitoring Strategy for Large-Scale Nonstationary Processes Subject to Frequently Varying Conditions Under Closed-Loop Control

2. Process monitoring via enhanced neighborhood preserving embedding

3. Reset Control of an Industrial In-Line pH Process

4. Data-Driven PID Controller and Its Application to Pulp Neutralization Process

5. Robust Fine Tuning of Optimal PID Controller With Guaranteed Robustness

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1. Adaptive PID Controller Using Neural Network for Pressure Drop in Nonlinear Fluid Systems;2024 21st International Multi-Conference on Systems, Signals & Devices (SSD);2024-04-22

2. An RBFNN‐based constraint control algorithm for electric vehicle AFS + DYC system with state delays and uncertain parameters;Asian Journal of Control;2024-02-13

3. Multi-objective optimal design of a fuzzy adaptive robust fractional-order PID controller for a nonlinear unmanned flying system;Aerospace Science and Technology;2023-10

4. Adaptive PI control of ultrasonic motor using iterative learning methods;ISA Transactions;2023-08

5. Robust adaptive control of nonlinear dynamic systems using hybrid sliding mode regressive neural learning technique;Engineering Computations;2023-05-30

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