A Robust Fractional-Order Controller For a Class of Chaotic Systems

In this paper an adaptive fractional-order controller is designed for a class of chaotic systems. A neural network is used to estimated the unknown dynamics of the under control system. The parameters of the neural network are adjusted thorough the fractional-order tuning rule that are determined from the Lyapunov stability analysis. Simulations show that the proposed control system is effective and results in desired performance.

Keywords:

Nonlinear systems , Chaotic systems , Neural networks , Fractional-order