Information Sciences: an International Journal
Brief paper: Novel adaptive neural control design for nonlinear MIMO time-delay systems
Automatica (Journal of IFAC)
Robust adaptive control using a universal approximator for SISO nonlinear systems
IEEE Transactions on Fuzzy Systems
Nonlinear adaptive control using neural networks and multiple models
Automatica (Journal of IFAC)
Neural network control of a class of nonlinear systems with actuator saturation
IEEE Transactions on Neural Networks
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This paper focuses on control of an active vibration isolator that possesses a strong nonlinearity and parameter uncertainty. An adaptive fuzzy controller is developed. A backstepping approach is employed to design the controller. A fuzzy logical system is used to approximate the unknown nonlinear function in the system. The developed controller guarantees the boundedness of all the signals in the closed-loop system. The unique feature of the developed controller is that only one parameter needs to be adapted online. The effectiveness of the controller is demonstrated by a computer simulation.