Hybrid Particle Filter-Particle Swarm Optimization Algorithm and Application to Fuzzy Controlled Servo Systems

This article presents a hybrid metaheuristic optimization algorithm that combines particle filter (PF) and particle swarm optimization (PSO) algorithms. The new PF-PSO algorithm consists of two steps: the first generates randomly the particle population;and the second zooms the search domain. An app...

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Bibliographic Details
Published in:	IEEE transactions on fuzzy systems Vol. 30; no. 10; pp. 4286 - 4297
Main Authors:	Pozna, Claudiu, Precup, Radu-Emil, Horvath, Erno, Petriu, Emil M.
Format:	Journal Article
Language:	English
Published:	New York IEEE 01.10.2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Algorithms Cost function Energy consumption Fuzzy control Fuzzy systems Heuristic methods Metaheuristics optimization particle filter (PF) Particle swarm optimization particle swarm optimization (PSO) PF–PSO algorithm Proportional integral Search problems Servocontrol Sociology Statistics Tuning
ISSN:	1063-6706, 1941-0034
Online Access:	Get full text
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