Synthesis of multicriteria controller by means of fuzzy logic approach
type: Item
instance of: scholarly article
title: Synthesis of multicriteria controller by means of fuzzy logic approach
zbMATH Open document ID: 1390.93490
DOI: 10.1155/2014/758207
author: Andrew Lozynskyy
author: Lyubomyr Demkiv
published in: Advances in Fuzzy Systems
publication date: 2018-05-18T00:00:00Z
review text: Summary: A two-mass fuzzy control system is considered. For fuzzification process, classical both linear and nonlinear membership functions are used. To find optimal values of membership function's parameters, genetic algorithm is used. To take into account values of both output and intermediate parameters of the system, a penalty function is considered. Research is conducted for the case of speed control system and displacement control system. Obtained results are compared with the case of the system with classical, crisp controller.
Mathematics Subject Classification ID: 93C42
zbMATH DE Number: 6870079
Wikidata QID: Q59044073
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2014/758207
OpenAlex ID: W2071866059
cites work: Nonlinear control systems: An introduction
cites work: Q5052557
DBLP publication ID: journals/afs/LozynskyyD14
description: scientific article; zbMATH DE number 6870079