Information Sciences: an International Journal
Optimal adaptive fuzzy control for a class of unknown nonlinear systems
WSEAS Transactions on Systems and Control
IEEE Transactions on Neural Networks
Synchronization of uncertain chaotic systems based on adaptive type-2 fuzzy sliding mode control
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Adaptive fuzzy control of an active vibration isolator
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Robust and adaptive backstepping control for nonlinear systems using fuzzy logic systems
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Robust adaptive fuzzy control for uncertain nonlinear systems
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Optimal robust adaptive fuzzy H∞ tracking control without reaching phase for nonlinear system
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Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
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This paper deals with the robust adaptive control of a class of nonlinear systems in the presence of parametric uncertainties and dominant uncertain nonlinearities. The proposed controller utilizes the robust adaptive control to guarantee uniform boundedness and convergence of tracking errors. In addition, an adaptive fuzzy logic system is used as a universal approximator to reduce the model uncertainties coming from uncertain nonlinearities and to improve tracking performance. The approach does not require the matching condition imposed on control systems by using the backstepping design procedure, and provides boundedness of tracking errors under poor parameter adaptation. The method can be applied to a class of single-input single-output (SISO) nonlinear systems, transformable to a parametric-strict-feedback form