Synchronization of delayed fuzzy cellular neural networks based on adaptive control

Finite-time synchronization for fuzzy cellular neural networks with time-varying delays

“…As a result, the dynamical behavior analysis of delayed neural networks has attracted more and more attention of researchers and many results have been reported in the literature [5][6][7][8][9][10][11][12].…”

“…Due to this property, chaos synchronization has been successfully applied in a variety of fields including secure communication, chemical and biological systems, human heartbeat regulation, information science, image processing, and harmonic oscillation generation [13,14]. Up to now, a wide variety of approaches have been proposed for synchronization of chaotic systems, such as adaptive control [8,13], impulsive control [15], fuzzy control [16], periodically intermittent control [17], observer-based control [18], and so on.…”

Dynamics of FCNNs with proportional delays and leakage delays

“…A lot of authors think that the FCNNs play a key role in image processing aspects [16]. In addition, leakage delay has a great effect on the dynamical nature of neural networks [17][18][19][20][21].…”

New results on the stability of fuzzy cellular neural networks with time-varying leakage delays

“…Unlike previous CNNs structures, FCNNs have fuzzy logic between their template and input and/or output deciding the sum of product operation, which allows us to combine the low of fuzzy systems. Subsequently, various interesting results on the stability and other dynamical behaviors of delayed FCNNs have been derived (See [13][14][15][16][17] and the references cited therein).…”