Ang-Bung Ting

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In this study, a robust adaptive control (RAC) system is developed for a class of nonlinear systems. The RAC system is comprised of a computation controller and a robust compensator. The computation controller containing a radial basis function (RBF) neural network is the principal controller, and the robust compensator can provide the smooth and(More)
An adaptive-fuzzy-identification-based sliding-mode control (AFISMC) design method is proposed to control an Linear Ultrasonic Motor (LUSM). Since the dynamic characteristic of the LUSM is difficult to obtain and the motor parameters are time varying, the AFISMC system is derived to automatically adjust the fuzzy rules without using any plant model of the(More)
Recurrent wavelet neural network (RWNN) has the advantages such as fast learning property, good generalization capability and information storing ability. With these advantages, this paper proposes an RWNN-based adaptive control (RBAC) system for multi-input multi-output (MIMO) uncertain nonlinear systems. The RBAC system is composed of a neural controller(More)
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