System identification and control using adaptive particle swarm optimization
type: Item
instance of: scholarly article
title: System identification and control using adaptive particle swarm optimization
zbMATH Open document ID: 1211.93125
author: Alireza Alfi
author: Hamidreza Modares
published in: Applied Mathematical Modelling
publication date: 2011-05-10T00:00:00Z
Mathematics Subject Classification ID: 93E12
Mathematics Subject Classification ID: 93E24
Mathematics Subject Classification ID: 90C59
zbMATH DE Number: 5886535
zbMATH Keywords: particle swarm optimization
zbMATH Keywords: parameter estimation
zbMATH Keywords: PID controller
zbMATH Keywords: genetic algorithm
MaRDI profile type: Publication
full work available at URL: j.apm.2010.08.008
OpenAlex ID: W2025179714
cites work: Problems of identification and control
cites work: Model-free adaptive control optimization using a chaotic particle swarm approach
cites work: Multi-step ahead nonlinear identification of Lorenz's chaotic system using radial basis neural network with learning by clustering and particle swarm optimization
cites work: Robust PID controller tuning based on the constrained particle swarm optimization
cites work: Vector Fitting fractional system identification using particle swarm optimization
cites work: A dynamic inertia weight particle swarm optimization algorithm
cites work: A modified particle swarm optimizer with dynamic adaptation
cites work: Nonlinear inertia weight variation for dynamic adaptation in particle swarm optimization
cites work: Nonlinear system identification and control using a real-coded genetic algorithm
DOI: 10.1016/J.APM.2010.08.008
description: scientific article; zbMATH DE number 5886535