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dc.contributor.authorZhou, Q.-
dc.contributor.authorShi, P.-
dc.contributor.authorLu, J.-
dc.contributor.authorXu, S.-
dc.identifier.citationIEEE Transactions on Fuzzy Systems, 2011; 19(5):972-982-
dc.description.abstractThis paper is concerned with the problem of adaptive fuzzy tracking control via output feedback for a class of uncertain single-input single-output (SISO) strict-feedback nonlinear systems. The dynamic feedback strategy begins with an input-driven filter. By utilizing fuzzy logic systems to approximate unknown and desired control input signals directly instead of the unknown nonlinear functions, an output-feedback fuzzy tracking controller is designed via a backstepping approach. It is shown that the proposed fuzzy adaptive output controller can guarantee that all the signals remain bounded and that the tracking error converges to a small neighborhood of the origin. Simulations results are presented to demonstrate the effectiveness of the proposed methods.-
dc.description.statementofresponsibilityQi Zhou, Peng Shi, Jinjun Lu, and Shengyuan Xu-
dc.publisherIEEE-Inst Electrical Electronics Engineers Inc-
dc.rights© 2011 IEEE-
dc.titleAdaptive output-feedback fuzzy tracking control for a class of nonlinear systems-
dc.typeJournal article-
dc.identifier.orcidShi, P. [0000-0001-8218-586X]-
Appears in Collections:Aurora harvest 4
Electrical and Electronic Engineering publications

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