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contributor authorNamadchian, Zahra
contributor authorZare, Assef
contributor authorNamadchian, Ali
date accessioned2017-05-09T01:06:19Z
date available2017-05-09T01:06:19Z
date issued2014
identifier issn0022-0434
identifier otherds_136_02_021019.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/154303
description abstractThis paper proposes a systematic procedure to address the limit cycle prediction of a Nonlinear Takagi–Sugeno–Kang (NTSK) fuzzy control system with adjustable parameters. NTSK fuzzy can be linearized by describing function method. The stability of the equivalent linearized system is then analyzed using the stability equations and the parameter plane method. After that the gain–phase margin (PM) tester has been added, then gain margin (GM) and phase margin for limit cycle are analyzed. Using NTSK fuzzy control system can help to have fewer rules. In order to analyze the stability with the same technique of stability analysis, the results of NTSK fuzzy control system will be compared with Dynamic fuzzy control system [1]. Computer simulations show differences between both systems.
publisherThe American Society of Mechanical Engineers (ASME)
titleStability Analysis of Nonlinear Dynamic Systems by Nonlinear Takagi–Sugeno–Kang Fuzzy Systems
typeJournal Paper
journal volume136
journal issue2
journal titleJournal of Dynamic Systems, Measurement, and Control
identifier doi10.1115/1.4025803
journal fristpage21019
journal lastpage21019
identifier eissn1528-9028
treeJournal of Dynamic Systems, Measurement, and Control:;2014:;volume( 136 ):;issue: 002
contenttypeFulltext


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