Fixed-time synchronization of memristor-based fuzzy cellular neural network with time-varying delay

Fixed-Time Synchronization of Delayed Fractional-Order Memristor-Based Fuzzy Cellular Neural Networks

“…Generally speaking, in order to study the stability or synchronization control of the memristor-based neural networks, we must first put forward relevant assumptions about the activation function of the memristor-based neural networks. Assumption 1 and 2 are rational, and one can see the references [33,38,43].…”

“…In [31], [32], [33], [34], [35], the fixed-time synchronization of FCNNs are studied. Our results differ from others in two aspects at least.…”

“…Ref. [33] discussed fixedtime synchronization of delayed memristive fuzzy cellular neural networks. Ref.…”

Fixed-Time Synchronization of Fuzzy Cellular Neural Networks With Time-Varying Delays and Discontinuous Activations

“…Yang et al [22] dealt with the fixed-time synchronizing control of the coupled complex neural networks based on memoriter where undirected spanning tree is contained in network topologies. Zheng et al [23] investigated the control problem of the fixed-time synchronization of delayed FCNNs based on memoriter.…”

Robust fixed‐time synchronisation of non‐identical nodes in complex networks under input non‐linearities

“…Based on the concept of fixed-time stability, the settling time function is bounded by an upper bound called the fixed convergence time, where it is not anymore resting on the initial condition of systems. In recent years, fixed-time synchronisation of complex networks has been studied in [36][37][38][39][40][41][42][43][44][45][46][47] by employing different control strategies. In these works, time of the synchronisation process does not rest upon the initial condition anymore, while the synchronisation of the network has been ensured in a finite time which depends on the initial conditions by employing just a common lemma.…”