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A simplified model-free self-evolving TS fuzzy controller for nonlinear systems with uncertainties

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dc.contributor.authorAl Mahturi, A.
dc.contributor.authorSantoso, F.
dc.contributor.authorGarratt, M.A.
dc.contributor.authorAnavatti, S.G.
dc.contributor.conference12th IEEE International Conference on Evolving and Adaptive Intelligent Systems, EAIS 2020 (27 May 2020 - 29 May 2020 : Bari, Italy)
dc.date.issued2020
dc.description.abstractThis paper proposes a self-evolving Takagi-Sugeno fuzzy controller for nonlinear systems with uncertainties. The self-evolving framework is used to add and prune fuzzy rules in an online manner. Our proposed nonlinear controller is model-free and does not depend on the plant dynamics. All adjustable fuzzy parameters are tuned using a sliding surface, which is derived from the gradient descent learning method to minimize the error between the desired and the actual signals. Unlike most of the existing self-evolving controllers, where a hybrid technique is required to determine the control action, our proposed algorithm is able to construct the final control signal, which can be fed directly to control a nonlinear system. The tracking performance of our proposed controller is validated and compared with an adaptive model-based fuzzy controller in the presence of external disturbances, where better tracking results are obtained from our proposed controller.
dc.identifier.citationIEEE Conference on Evolving and Adaptive Intelligent Systems, 2020, iss.9122771, pp.1-6
dc.identifier.doi10.1109/EAIS48028.2020.9122771
dc.identifier.isbn9781728143842
dc.identifier.urihttps://hdl.handle.net/11541.2/145249
dc.language.isoen
dc.publisherIEEE
dc.publisher.placeUS
dc.rightsCopyright 2020 IEEE
dc.source.urihttp://dx.doi.org/10.1109/EAIS48028.2020.9122771
dc.subjectself-evolving fuzzy controller
dc.subjectmodel-free controller
dc.subjectuncertainties
dc.subjectadaptive control
dc.titleA simplified model-free self-evolving TS fuzzy controller for nonlinear systems with uncertainties
dc.typeConference paper
pubs.publication-statusPublished
ror.mmsid9916460801801831

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