Modified neural network algorithm based robust design of AVR system using the Kharitonov theorem

This paper proposes a new control law for designing an optimal proportional‐integral‐derivative (PID) controller for flexible automatic voltage regulator (AVR) system using modified neural network algorithm (MNNA). First, the exploration capability of neural network algorithm (NNA) is enhanced by ad...

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Bibliographic Details
Published in:	International journal of intelligent systems Vol. 37; no. 2; pp. 1339 - 1370
Main Authors:	Bhullar, Amrit K., Kaur, Ranjit, Sondhi, Swati
Format:	Journal Article
Language:	English
Published:	New York John Wiley & Sons, Inc 01.02.2022
Subjects:	Algorithms Art techniques automatic voltage regulator Closed loops Control stability Control theory Controllers Design modifications Intelligent systems Machine learning Mathematical analysis modified neural network algorithm Kharitonov theorem neural network algorithm Neural networks Noise reduction Parameter uncertainty Performance evaluation Polynomials Proportional integral derivative proportional‐integral‐derivative controller Robust design Statistical analysis Theorems Voltage regulators
ISSN:	0884-8173, 1098-111X
Online Access:	Get full text
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