Approximation of feedback linearization control input based on fuzzy wavelet networks
Editorial
10.22099/ijste.2007.858
Abstract
Based on the wavelet transform and fuzzy set theory, we present a fuzzy wavelet network (FWN) for approximating feedback linearization control input. Each fuzzy rule corresponds to a sub-wavelet neural network (sub-WNN) consisting of wavelets with a specified dilation value. The degree of contribution of each sub-WNN can be controlled flexibly. The constructed rules used to approximate the control signal in which the mathematical model of the system under control is unknown can be adjusted by learning the translation parameters of the selected wavelets and determining the shape of Gaussian membership functions of a fuzzy system. The proposed FWN shows good approximation accuracy and fast convergence. Finally a nonlinear inverted pendulum system is applied to verify the effectiveness and ability of the proposed network.
(2007). Approximation of feedback linearization control input based on fuzzy wavelet networks. Iranian Journal of Science and Technology Transactions of Electrical Engineering, 31(6), 651-662. doi: 10.22099/ijste.2007.858
MLA
. "Approximation of feedback linearization control input based on fuzzy wavelet networks", Iranian Journal of Science and Technology Transactions of Electrical Engineering, 31, 6, 2007, 651-662. doi: 10.22099/ijste.2007.858
HARVARD
(2007). 'Approximation of feedback linearization control input based on fuzzy wavelet networks', Iranian Journal of Science and Technology Transactions of Electrical Engineering, 31(6), pp. 651-662. doi: 10.22099/ijste.2007.858
VANCOUVER
Approximation of feedback linearization control input based on fuzzy wavelet networks. Iranian Journal of Science and Technology Transactions of Electrical Engineering, 2007; 31(6): 651-662. doi: 10.22099/ijste.2007.858
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