Adaptive fuzzy controller for nonlinear systems via genetic algorithm
AEE'08 Proceedings of the 7th WSEAS International Conference on Application of Electrical Engineering
GA-based modified adaptive fuzzy sliding mode controller for nonlinear systems
Expert Systems with Applications: An International Journal
CCDC'09 Proceedings of the 21st annual international conference on Chinese control and decision conference
MIMO adaptive fuzzy terminal sliding-mode controller for robotic manipulators
Information Sciences: an International Journal
Fuzzy sliding mode control for an under-actuated system with mismatched uncertainties
Artificial Life and Robotics
IEEE Transactions on Fuzzy Systems
Derivative and integral terminal sliding mode control for a class of MIMO nonlinear systems
Automatica (Journal of IFAC)
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A new design approach of an adaptive fuzzy terminal sliding mode controller for linear systems with mismatched time-varying uncertainties is presented in this paper. A fuzzy terminal sliding mode controller is designed to retain the advantages of the terminal sliding mode controller and to reduce the chattering occurred with the terminal sliding mode controller. The sufficient condition is provided for the uncertain system to be invariant on the sliding surface. The parameters of the output fuzzy sets in the fuzzy mechanism are adapted on-line to improve the performance of the fuzzy sliding mode control system. The bounds of the uncertainties are not required to be known in advance for the presented adaptive fuzzy sliding mode controller. The stability of the fuzzy control system is also guaranteed. Moreover, the chattering around the sliding surface in the sliding mode control can be reduced by the proposed design approach. Simulation results are included to illustrate the effectiveness of the proposed adaptive fuzzy terminal sliding mode controller.