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Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/29255
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dc.contributor.authorMukhtar, M-
dc.contributor.authorKhudher, D-
dc.contributor.authorKalganova, T-
dc.coverage.spatialVirtual-
dc.date.accessioned2024-06-23T13:49:10Z-
dc.date.available2024-06-23T13:49:10Z-
dc.date.issued2021-05-23-
dc.identifierORCiD: Tatiana Kalganova https://orcid.org/0000-0003-4859-7152-
dc.identifier.citationMukhtar, M., Khudher, D. and Kalganova, T. (2021) 'Consistent Control Framework for Ambidextrous Robot Arm Using MANFIS Controller', Proceedings of the 8th International Conference of Control Systems, and Robotics (CDSR'21), Virtual, 23-25 May, pp. 1 - 10. doi: 10.11159/cdsr21.101.en_US
dc.identifier.isbn978-1-927877-87-6-
dc.identifier.urihttps://bura.brunel.ac.uk/handle/2438/29255-
dc.description.abstractThis paper presents a control strategy to control an Ambidextrous robot arm. The idea is based on combining of Proportional Integral Derivative (PID) with Neural Network (NN) and Multiple Adaptive Neuro-fuzzy Inference (MANFIS) controller with selector block. This unique set of combination is used to solve the problem of inverse kinematics and to get a stable dynamic response in different situations. The results obtained from the experiments proved the effectiveness of the controllers in term of performing multiple tasks and dynamic stability.en_US
dc.format.extent1 - 10-
dc.format.mediumElectronic-
dc.languageEnglish-
dc.language.isoen_USen_US
dc.publisherINTERNATIONAL ASET on behalf of Avestiaen_US
dc.rightsAttribution 3.0 International-
dc.rights.urihttps://creativecommons.org/licenses/by/3.0/-
dc.source8th International Conference of Control Systems, and Robotics (CDSR'21)-
dc.source8th International Conference of Control Systems, and Robotics (CDSR'21)-
dc.subjectdynamic controlen_US
dc.subjecttask and motion planningen_US
dc.subjectkinematic analysisen_US
dc.subjectANFIS controlleren_US
dc.subject3D printeden_US
dc.titleConsistent Control Framework for Ambidextrous Robot Arm Using MANFIS Controlleren_US
dc.typeConference Paperen_US
dc.identifier.doihttps://doi.org/10.11159/cdsr21.101-
dc.relation.isPartOfInternational Conference of Control, Dynamic Systems, and Robotics-
pubs.finish-date2021-05-25-
pubs.finish-date2021-05-25-
pubs.publication-statusPublished-
pubs.start-date2021-05-23-
pubs.start-date2021-05-23-
dc.identifier.eissn2368-5433-
dc.rights.licensehttps://creativecommons.org/licenses/by/3.0/legqalcode.en-
dc.rights.holderAuthors-
Appears in Collections:Dept of Electronic and Electrical Engineering Research Papers

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