A new sliding-mode control with fuzzy boundary layer
Fuzzy Sets and Systems
Indirect adaptive fuzzy sliding mode control: Part I: fuzzy switching
Fuzzy Sets and Systems
Self-organizing fuzzy control for motor-toggle servomechanism via sliding-mode technique
Fuzzy Sets and Systems - Modeling and control
Robotics and Autonomous Systems
Grey Self Adaptive Fuzzy Sliding Mode Control for Flight Simulator Servo System
ICIRA '08 Proceedings of the First International Conference on Intelligent Robotics and Applications: Part I
GA-based modified adaptive fuzzy sliding mode controller for nonlinear systems
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Sliding Mode Control with Adaptive Fuzzy Dead-Zone Compensation of an Electro-hydraulic Servo-System
Journal of Intelligent and Robotic Systems
Design of an enhanced adaptive self-organizing fuzzy sliding-mode controller for robotic systems
Expert Systems with Applications: An International Journal
An adaptive fuzzy sliding mode controller for robotic manipulators
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Adaptive fuzzy controller with sliding surface for vehicle suspension control
IEEE Transactions on Fuzzy Systems
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An innovative approach to adaptive fuzzy sliding mode control for a class of SISO continuous nonlinear systems with unknown dynamics and bounded disturbances is introduced in this paper. The main idea of the presented method consists in the introduction of the fuzzy self-tuning mechanism for adaptation of the sliding mode control parameters - extended feedback and switching gains. Such modification reduces the well-known chattering problem in classical sliding mode control. In comparison with the other algorithms eliminating this problem the proposed method results in faster convergence and more transparent and interpretable design of self-tuning mechanism. Moreover, the proposed method guaranteing the asymptotic reference signal tracking with bounded system signals can be easily implemented to high order systems. The performance of the presented control design is demonstrated on control of a nonlinear electro-hydraulic servo mechanism.