Adaptive fuzzy logic with self-tuned membership functions based repetitive learning control of robotic manipulators
dc.authorid | Alcı, Musa/0000-0002-5382-3460 | |
dc.authorid | Yilmaz, Bayram Melih/0000-0002-6974-8012 | |
dc.authorid | Tatlicioglu, Enver/0000-0001-5623-9975 | |
dc.authorwosid | Alcı, Musa/ABI-3917-2020 | |
dc.contributor.author | Yilmaz, B. Melih | |
dc.contributor.author | Tatlicioglu, Enver | |
dc.contributor.author | Savran, Aydogan | |
dc.contributor.author | Alci, Musa | |
dc.date.accessioned | 2023-01-12T19:54:26Z | |
dc.date.available | 2023-01-12T19:54:26Z | |
dc.date.issued | 2021 | |
dc.department | N/A/Department | en_US |
dc.description.abstract | With increasing demand for using robotic manipulators in industrial applications, controllers specific for performing repeatable tasks are required. These controllers must also be robust to model uncertainties. To address this research issue, a repetitive learning control method fused with adaptive fuzzy logic techniques is designed. Specifically, modeling uncertainties are first modeled with a fuzzy logic network and an adaptive fuzzy logic strategy with online tuning is designed. The stability is investigated via Lyapunov type techniques where global uniform ultimate boundedness of closed loop system is guaranteed. Numerical simulation results obtained from a two degree of freedom robot manipulator model and experiments performed on a robot manipulator demonstrate the efficacy of the proposed control methodology. (C) 2021 Elsevier B.V. All rights reserved. | en_US |
dc.identifier.doi | 10.1016/j.asoc.2021.107183 | |
dc.identifier.issn | 1568-4946 | |
dc.identifier.issn | 1872-9681 | |
dc.identifier.uri | https://doi.org/10.1016/j.asoc.2021.107183 | |
dc.identifier.uri | https://hdl.handle.net/11454/76420 | |
dc.identifier.volume | 104 | en_US |
dc.identifier.wos | WOS:000641373800005 | en_US |
dc.identifier.wosquality | Q1 | en_US |
dc.indekslendigikaynak | Web of Science | en_US |
dc.language.iso | en | en_US |
dc.publisher | Elsevier | en_US |
dc.relation.ispartof | Applied Soft Computing | en_US |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | Fuzzy approximation | en_US |
dc.subject | Universal fuzzy controller | en_US |
dc.subject | Adaptive fuzzy logic | en_US |
dc.subject | Robot manipulators | en_US |
dc.subject | Lyapunov methods | en_US |
dc.subject | Repetitive learning control | en_US |
dc.subject | Neural-Network | en_US |
dc.subject | Disturbance | en_US |
dc.subject | System | en_US |
dc.title | Adaptive fuzzy logic with self-tuned membership functions based repetitive learning control of robotic manipulators | en_US |
dc.type | Article | en_US |