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Lecture Notes in Artificial Intelligence

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dc.contributor.authors Temurtas, H; Temurtas, F; Yumusak, N;
dc.date.accessioned 2020-01-13T07:57:02Z
dc.date.available 2020-01-13T07:57:02Z
dc.date.issued 2004
dc.identifier.citation Temurtas, H; Temurtas, F; Yumusak, N; (2004). Lecture Notes in Artificial Intelligence. ARTIFICIAL INTELLIGENCE AND SOFT COMPUTING - ICAISC 2004, 3070, 809-804
dc.identifier.isbn 3-540-22123-9
dc.identifier.issn 0302-9743
dc.identifier.uri https://hdl.handle.net/20.500.12619/2500
dc.description.abstract In this study, the application of the single input single output (SISO) neural generalized predictive control (NGPC) of a three joint robotic manipulator with the comparison of the SISO generalized predictive control (GPC) is presented. Dynamics modeling of the robotic manipulator was made by using the Lagrange-Euler equations. The frictional effects, the random disturbance, the state of carrying and falling load were added to dynamics model. The sinusoidal trajectory principle is used for position reference and velocity reference trajectories. The results show that the NGPC-SISO algorithm performs better than GPC-SISO algorithm and the influence of the load changes and disturbances to the NGPC-SISO is less than that of the GPC-SISO with sinusoidal trajectory.
dc.language English
dc.publisher SPRINGER-VERLAG BERLIN
dc.subject Computer Science
dc.title Lecture Notes in Artificial Intelligence
dc.type Proceedings Paper
dc.identifier.volume 3070
dc.identifier.startpage 804
dc.identifier.endpage 809
dc.contributor.department Sakarya Üniversitesi/Bilgisayar Ve Bilişim Bilimleri Fakültesi/Bilgisayar Mühendisliği Bölümü
dc.contributor.saüauthor Yumuşak, Nejat
dc.contributor.saüauthor Temurtaş, Feyzullah
dc.relation.journal ARTIFICIAL INTELLIGENCE AND SOFT COMPUTING - ICAISC 2004
dc.identifier.wos WOS:000222325200124
dc.contributor.author Yumuşak, Nejat
dc.contributor.author Temurtaş, Feyzullah


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