We derive sufficient conditions to guarantee asymptotic stability for fuzzy-based sliding mode controllers applied to single-input single output nonlinear systems, made in the framework of Lyapunov functions. Such conditions also preserve the well-recognized features of both sliding mode control and Mamdani-type fuzzy control such as robustness and uncertainties treatment. In addition, the rules for tuning the cores of membership functions are also found. Real-time experiments, made on a one-link pendulum, were performed to illustrate and demonstrate the theoretical results.IEEE Transactions on fuzzy systemshttps://ieeexplore.ieee.org/document/8736885/metrics#metric
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[[abstract]]In this paper, a nonlinear dynamic system is first approximated by N fuzzy-based linear ...
This paper presents the design of fuzzy logic controllers (FLC's) for nonlinear systems with guarant...
AbstractIn order to improve the performance of single-input single-output (SISO) nonlinear systems w...
Unmatched disturbances affect most of the mechanical systems, and finding conditions in the controll...
This book addresses some of the challenges suffered by the well-known and robust sliding-mode contro...
Classical sliding mode controller is robust to model uncertainties and external disturbances. A slid...
[[abstract]]By the application of fuzzy set theory, a method for feedback control of nonlinear syste...
This paper addresses the issue of robust fuzzy sliding mode control for continuous-Time nonlinear Ta...
[[abstract]]A fuzzy sliding mode controller (FSMC) by combining fuzzy logic control and sliding-mode...
Published version of an article in the journal: Mathematical Problems in Engineering. Also available...
[[abstract]]In this paper, a nonlinear discrete-time system in the presence of input disturbance and...
It is well known that sliding mode control can give good transient performance and system robustness...
[[abstract]]In this paper, a stable adaptive fuzzy sliding-mode control for affine highly nonlinear ...
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This research focuses on design Single Input Single Output (SISO) adaptive sliding mode fuzzy PD fuz...
[[abstract]]In this paper, a nonlinear dynamic system is first approximated by N fuzzy-based linear ...
This paper presents the design of fuzzy logic controllers (FLC's) for nonlinear systems with guarant...
AbstractIn order to improve the performance of single-input single-output (SISO) nonlinear systems w...