Dynamic programming strategy based on a type-2 fuzzy wavelet neural network, By Ardashir Mohammadzadeh

Research

Title	Dynamic programming strategy based on a type-2 fuzzy wavelet neural network
Type	Article
Keywords	Dynamic programming · Oustaloup recursive approximation · Type-2 fuzzy wavelet neural network · Fractional-order hyperchaotic systems
Researchers	Ardashir Mohammadzadeh، Weidong Zhang

Abstract

In this paper, an optimal control scheme, based on dynamic programming strategy, is presented for synchronization of uncertain fractional-order chaotic/hyperchaotic systems. In the scheme, a type-2 fuzzy wavelet neural network (T2FWNN) is proposed for estimation of the unknown functions in dynamics of system. For solving the fractional optimal control problem, fractional-order derivative is approximated by using Oustaloup recursive approximation method. Simulation studies verify the effectiveness of the proposed control scheme and the proposed T2FWNN.