Multi-Objective Vibration-Based Particle-Swarm-Optimized Fuzzy Controller With Application to Boundary-Following of Mobile-Robot Simulation Environment

Ou, L; Zeng, G; Chang, Y-C; Lin, C-T

Multi-Objective Vibration-Based Particle-Swarm-Optimized Fuzzy Controller With Application to Boundary-Following of Mobile-Robot Simulation Environment

Ou, L Zeng, G Chang, Y-C Lin, C-T

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Publisher:: IEEE
Publication Type:: Conference Proceeding
Citation:: 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2020, 00, pp. 1893-1898
Issue Date:: 2020-10-11

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Field	Value	Language
dc.contributor.author	Ou, L
dc.contributor.author	Zeng, G
dc.contributor.author	Chang, Y-C
dc.contributor.author	Lin, C-T
dc.date	2020-10-11
dc.date.accessioned	2021-03-16T00:25:23Z
dc.date.available	2021-03-16T00:25:23Z
dc.date.issued	2020-10-11
dc.identifier.citation	2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2020, 00, pp. 1893-1898
dc.identifier.uri	http://hdl.handle.net/10453/147206
dc.language	en
dc.publisher	IEEE
dc.relation.ispartof	2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC)
dc.relation.ispartof	2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC)
dc.relation.isbasedon	10.1109/smc42975.2020.9283391
dc.rights	© 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.	en_US
dc.rights	info:eu-repo/semantics/embargoedAccess
dc.title	Multi-Objective Vibration-Based Particle-Swarm-Optimized Fuzzy Controller With Application to Boundary-Following of Mobile-Robot Simulation Environment
dc.type	Conference Proceeding
utslib.citation.volume	00
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Strength - AAII - Australian Artificial Intelligence Institute
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
utslib.copyright.status	open_access	*
utslib.copyright.embargo	2022-12-14T00:00:00+1000Z
dc.date.updated	2021-03-16T00:25:22Z
pubs.finish-date	2020-10-14
pubs.publication-status	Published
pubs.start-date	2020-10-11
pubs.volume	00

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http://hdl.handle.net/10453/147206