Neural networks based control of chaotic Phase-Locked Loop

In this paper, a neural network controller is applied to control (suppress) chaotic behavior in a theoretical model of a third order phase locked loop (PLL). It is demonstrated that the neural network controller can successfully cause the phase error to behave in a desired way. The performance of the neural network control method is compared to that of previously used LTI filters showing hence, the efficiency of neural networks (NNspsila) based control.