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IJIT
2004

Fuzzy Wavelet Neural Network For Control of Dynamic Plants

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Fuzzy Wavelet Neural Network For Control of Dynamic Plants
The development of control system for the dynamic processes characterizing uncertainties needs the creating of the proper knowledge base for the controller. In this paper, to solve this problem the integration of fuzzy set theory and wavelet neural network (WNN) is considered. The structure and operation algorithms of fuzzy WNN based controller are presented. Using gradient method the learning of fuzzy WNN is performed to find optimal values of the parameters of controller. The simulation of fuzzy WNN based control system for control of dynamic plant is carried out. Result of simulation of control system based on fuzzy WNN is compared with the simulation result of control systems based on feedforward neural network and PID controller. Simulation results demonstrate that training of fuzzy WNN based control system is faster and it has better control performance than others. Keywords- Wavelet neural network, Fuzzy wavelet, Fuzzy wavelet neural network based controller
Rahib Hidayat Abiyev
Added 31 Oct 2010
Updated 31 Oct 2010
Type Conference
Year 2004
Where IJIT
Authors Rahib Hidayat Abiyev
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