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Soft Computing

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25.11.2014 | Methodologies and Application

Adaptive fuzzy sliding mode controller for a class of SISO nonlinear time-delay systems

verfasst von: Hafedh Abid, Ahmed Toumi

Erschienen in: Soft Computing | Ausgabe 2/2016

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Abstract

In this paper, we propose an adaptive fuzzy controller for a class of nonlinear SISO time-delay systems. The plant model structure is represented by a Takagi–Sugeno (T–S) type fuzzy system. The T–S fuzzy model parameters are adjusted online. The proposed algorithm utilizes the sliding surface to adjust online the parameters of T–S fuzzy model. The controller is based on adjustable T–S fuzzy parameters model and sliding mode theory. The stability analysis of the closed-loop system is based on the Lyapunov approach. The plant state follows asymptotically any bounded reference signal. Two examples have been used to check performances of the proposed fuzzy adaptive control scheme.

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Titel: Adaptive fuzzy sliding mode controller for a class of SISO nonlinear time-delay systems
verfasst von: Hafedh Abid
Ahmed Toumi
Publikationsdatum: 25.11.2014
Verlag: Springer Berlin Heidelberg
Erschienen in: Soft Computing / Ausgabe 2/2016
Print ISSN: 1432-7643
Elektronische ISSN: 1433-7479
DOI: https://doi.org/10.1007/s00500-014-1529-9

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