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Erschienen in: Soft Computing 19/2019

29.09.2018 | Methodologies and Application

A robust direct adaptive fuzzy control for a class of uncertain nonlinear MIMO systems

verfasst von: Ali Akbarzadeh Kalat

Erschienen in: Soft Computing | Ausgabe 19/2019

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Abstract

A robust direct adaptive fuzzy controller for a class of MIMO nonlinear systems with uncertainties and external disturbances is presented. The robust adaptive fuzzy controller is successfully employed using tracking error universe. Also adaption laws of the proposed controller are developed such that to be guaranteed the steady constant of the adjustable parameters and the estimated bound of the uncertainties and approximation error without utilizing any modification algorithm. Stability of the proposed method, i.e., uniformly ultimately boundedness of the tracking error and all involved signals, is shown based on Lyapunov theory. Simulation results demonstrate the capability and efficiency of the proposed technique for controlling nonlinear systems with uncertainties and external disturbances.

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Metadaten
Titel
A robust direct adaptive fuzzy control for a class of uncertain nonlinear MIMO systems
verfasst von
Ali Akbarzadeh Kalat
Publikationsdatum
29.09.2018
Verlag
Springer Berlin Heidelberg
Erschienen in
Soft Computing / Ausgabe 19/2019
Print ISSN: 1432-7643
Elektronische ISSN: 1433-7479
DOI
https://doi.org/10.1007/s00500-018-3543-9

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