Expert Systems with Applications: An International Journal
Wavelet neural networks for function learning
IEEE Transactions on Signal Processing
The wavelet transform, time-frequency localization and signal analysis
IEEE Transactions on Information Theory
Using wavelet network in nonparametric estimation
IEEE Transactions on Neural Networks
Nonlinear Adaptive Wavelet Control Using Constructive Wavelet Networks
IEEE Transactions on Neural Networks
Adaptive fuzzy model based inverse controller design using BB-BC optimization algorithm
Expert Systems with Applications: An International Journal
Hi-index | 12.05 |
In this paper, a wavelet network is presented to design different controllers for DC motors based on the multi-resolution analysis and the wavelet transform. One of the basic advantages of wavelet network is that training is done using the recursive least square method which is suitable for online training usually required for adaptive control. The wavelet network is used to design adaptive speed controllers for a DC motor to achieve high performance speed control even if the motor model is unknown, the load characteristics are also unknown function of speed and the load torque changes online. Simulation and experimental results are presented to validate the effectiveness of the proposed controllers.