Since the Lorenz chaotic system was discovered in 1963, the construction of chaotic
systems with complex dynamics has been a research hotspot in the field of chaos. Recently …

In this paper, a unified neural control scheme is presented for the output-constrained
trajectory tracking of space manipulator under unknown parameters and external …

Propagation and exchange of electrical signals between neurons mainly depend on the
controllability of synapses. These electrical signals will affect the dynamic characteristics of …

Offset boosting plays an important role in chaos application in electronic engineering. A
direct variable substitution typically will destroy the dynamics of a discrete map even though …

To characterize neuronal firing activities and elucidate its bifurcation mechanisms, a
memristor-based FitzHugh-Nagumo (FHN) circuit is designed based on the FHN circuit …

Multi-scroll chaotic systems have been extensively used in various fields such as secure
communication and image encryption due to their unique performances. In this paper, a five …

In order to enrich the dynamic characteristics of cellular neural network (CNN) and reveal
the influence of memristor nonlinearity on the dynamic behavior of the network, a novel five …

The tabu learning single neuron model with external stimulus is a significant model for
describing the firing activities of neurons. The current generated by a magnetic-controlled …

A memristive chaotic system which has no equilibrium points is constructed by introducing
different nonlinear functions and a memristive device. A novel family of multi-scroll attractors …

In this paper, a memristor-based neural network is proposed, which is implemented by two
tri-neuron resistive-cyclic Hopfield neural networks (RC-HNNs) via memristive bridging. The …