A novel performance criterion approach to optimum design of PID controller using cuckoo search algorithm for AVR system
type: Item
instance of: scholarly article
title: A novel performance criterion approach to optimum design of PID controller using cuckoo search algorithm for AVR system
zbMATH Open document ID: 1451.93120
author: Zafer Bingul
author: Oguzhan Karahan
published in: Journal of the Franklin Institute
publication date: 2018-08-17T00:00:00Z
Mathematics Subject Classification ID: 93B52
Mathematics Subject Classification ID: 93B51
Mathematics Subject Classification ID: 90C59
zbMATH DE Number: 6920000
zbMATH Keywords: PID controller design
zbMATH Keywords: cuckoo search algorithm
MaRDI profile type: Publication
full work available at URL: j.jfranklin.2018.05.056
OpenAlex ID: W2809263755
cites work: Comparative study of type-2 fuzzy particle swarm, bee colony and bat algorithms in optimization of fuzzy controllers
cites work: Design and performance analysis of PID controller for an automatic voltage regulator system using simplified particle swarm optimization
cites work: Comparative performance analysis of artificial bee colony algorithm for automatic voltage regulator (AVR) system
cites work: Swarm Intelligence PID Controller Tuning for AVR System
cites work: Engineering optimisation by cuckoo search
Wikidata QID: Q129622378
DOI: 10.1016/J.JFRANKLIN.2018.05.056
description: scientific article; zbMATH DE number 6920000