Learning Stable Robust Adaptive NARMA Controller for UAV and Its Application to Twin Rotor MIMO Systems

dc.contributor.author	Bulucu, P.
dc.contributor.author	Soydemir, M.U.
dc.contributor.author	Sahin, S.
dc.contributor.author	Kocaoglu, A.
dc.contributor.author	Guzelis, C.
dc.date.accessioned	2021-01-25T19:32:36Z
dc.date.available	2021-01-25T19:32:36Z
dc.date.issued	2020
dc.identifier	10.1007/s11063-020-10265-0
dc.identifier.issn	1370-4621
dc.identifier.uri	https://dspace.yasar.edu.tr/xmlui/handle/20.500.12742/7280
dc.description.abstract	This study presents a nonlinear auto-regressive moving average (NARMA) based online learning controller algorithm providing adaptability, robustness and the closed loop system stability. Both the controller and the plant are identified by the proposed NAR
dc.description.sponsorship	Scientific and Technological Research Council of Turkey (TUB.ITAK)Turkiye Bilimsel ve Teknolojik Arastirma Kurumu (TUBITAK) [116E170]
dc.language.iso	English
dc.publisher	SPRINGER
dc.title	Learning Stable Robust Adaptive NARMA Controller for UAV and Its Application to Twin Rotor MIMO Systems
dc.type	Article
dc.relation.firstpage	353
dc.relation.lastpage	383
dc.relation.volume	52
dc.relation.issue	1
dc.description.woscategory	Computer Science, Artificial Intelligence
dc.description.wosresearcharea	Computer Science
dc.identifier.wosid	WOS:000532644000001

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