Paper Info
Title
General type-2 fuzzy multi-switching synchronization of fractional-order chaotic systems
Abstract
In this study, the problem of multi-switching synchronization of the chaotic systems (CSs) with fractional-order dynamics is considered. Unlike to the most studies, the dynamics of slave chaotic systems are unknown and also the master systems are not fixed but are switched between several synchronization modes. A general type-2 (GT2) fuzzy neural network (FNN) is proposed to approximate the unknown nonlinearities. The stability and robustness is investigated by the Lyapunov theorem and the fractional-order adaptation laws are obtained to optimize the rules of GT2FNNs. The robustness of the proposed scheme against approximation errors and variation of synchronization modes is guaranteed by the proposed compensators. The good performance of schemed method is demonstrated by several simulations and comparison with recent presented control techniques.
Year
DOI
Venue
2021
10.1016/j.engappai.2021.104163
Engineering Applications of Artificial Intelligence
Keywords
DocType
Volume
Fractional order chaotic systems,Multi-switching,Robustness,Lyapunov theorem,Type-2 fuzzy neural network
Journal
100
ISSN
Citations 
PageRank 
0952-1976
0
0.34
References 
Authors
0
4
Name
Order
Citations
PageRank
Mohammad Hosein Sabzalian101.01
Ardashir Mohammadzadeh223.42
Weidong Zhang338367.45
Kittisak Jermsittiparsert410.70