This paper suggests the Hidden Layer Recurrent Neural Network (HLRNN) for controlling a
wind power generation system based on a dual-fed induction generator. The generator's …

To train the neural networks (NNs) standard back propagation (BP) algorithm and its
variations are widely used where initial weights are generated as random in nature. The …

The neural networks are generally trained using the standard back propagation (BP)
algorithm and its variants. In the BP algorithm, the initial weights are generated randomly …

This work describes the optimisation of the architecture of dynamic neural networks using a
genetic algorithm. The networks are included in a control loop and learn to determine the …

A new approach has been developed for the control of a coupled, non-linear MIMO system.
A quasi-diagonal wavelet neural network (QDWNN)-based online identification and control …

This paper addresses two different control strategies for multivariable system. The analyzed
control strategies are based on Davison and Penttinen-Koivo method. The aims of the study …

PID controllers are widely used in industries due to simple functioning and robustness, yet
the determination of controller gains is a big challenge more so when the plant to be control …