A Dynamic Feedback Neural Model for Identification of the Robot Manipulator
| dc.contributor.author | Ay, Mustafa | |
| dc.contributor.author | Koca, Gonca Ozmen | |
| dc.date.accessioned | 2026-08-12T16:41:05Z | |
| dc.date.issued | 2018 | |
| dc.department | Fırat Üniversitesi | |
| dc.description | 12th International Conference on Mechatronics -- SEP 06-08, 2017 -- Brno, CZECH REPUBLIC | |
| dc.description.abstract | Robot manipulators are very powerful industrial systems. These systems are used in many different industrial applications. Since the derivation of the mathematical model of a robot manipulator has complex processing load, a suitable neural model can be designed. In this paper, both inverse and forward kinematics equations of a six degree of freedom ( DoF) robot manipulator are given and also adapted to MATLAB environment with a graphical user interface to identify behaviors of the robot manipulator. At the same time, a multilayer artificial neural model is proposed to provide the robot manipulator identification. Back-propagation learning algorithm is used to train dynamic feedback neural model based on NARX network structure. The experimental results are presented to show the performance of the dynamic feedback neural model. | |
| dc.description.sponsorship | Brno Univ Technol | |
| dc.identifier.doi | 10.1007/978-3-319-65960-2_43 | |
| dc.identifier.endpage | 355 | |
| dc.identifier.isbn | 978-3-319-65960-2 | |
| dc.identifier.isbn | 978-3-319-65959-6 | |
| dc.identifier.issn | 2194-5357 | |
| dc.identifier.issn | 2194-5365 | |
| dc.identifier.orcid | 0000-0003-1750-8479 | |
| dc.identifier.orcid | 0000-0002-9056-9975 | |
| dc.identifier.scopus | 2-s2.0-85029218448 | |
| dc.identifier.scopusquality | N/A | |
| dc.identifier.startpage | 347 | |
| dc.identifier.uri | https://doi.org/10.1007/978-3-319-65960-2_43 | |
| dc.identifier.uri | https://hdl.handle.net/11508/45678 | |
| dc.identifier.volume | 644 | |
| dc.identifier.wos | WOS:000554435500043 | |
| dc.identifier.wosquality | N/A | |
| dc.indekslendigikaynak | Web of Science | |
| dc.indekslendigikaynak | Scopus | |
| dc.language.iso | en | |
| dc.publisher | Springer International Publishing Ag | |
| dc.relation.ispartof | Mechatronics 2017: Recent Technological and Scientific Advances | |
| dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | |
| dc.rights | info:eu-repo/semantics/closedAccess | |
| dc.snmz | KA_WoS_20260511 | |
| dc.subject | Robot manipulator | |
| dc.subject | Neural model | |
| dc.subject | Back-propagation | |
| dc.subject | NARX network | |
| dc.subject | Graphical user interface | |
| dc.title | A Dynamic Feedback Neural Model for Identification of the Robot Manipulator | |
| dc.type | Conference Object |







