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

• Type: Conference
• Year: 2004
• Where: IJIT
• Authors: Rahib Hidayat Abiyev
• Keywords: Artificial Intelligence, Fuzzy Wnn, IJIT 2004, Wavelet Neural Network, WNN Based Control