Synchronization of chaotic supply chains with adaptive neuro-fuzzy inference system

Abstract

This paper presents the synchronization of two identical chaotic supply chains that have different initial conditions with Adaptive Neuro-Fuzzy Inference System (ANFIS) based controllers. First, the active controllers which were constructed by Göksu, Kocamaz and Uyaroglu in 2012 are described. Then, a hybrid direct ANFIS control method is designed and the active control signals are also used in the training of ANFIS controllers. Thereby, the advantages of active control and ANFIS methods are combined. Computer simulations show that the proposed approach is very effective for the synchronization of chaos in supply chain systems.