X Chen, JH Park, J Cao, J Qiu - Applied mathematics and Computation, 2017 - Elsevier
This paper investigates two classes of synchronization problems of multiple chaotic systems with unknown uncertainties and disturbances by employing sliding mode control. Modified …
J Xiao, S Zhong, Y Li, F Xu - Neurocomputing, 2017 - Elsevier
This paper investigates the finite-time synchronization of delayed fractional-order memristive bidirectional associative memory neural networks (FMBAMNNs). Based on Lyapunov …
This paper proposes a combination of composite nonlinear feedback and integral sliding mode techniques for fast and accurate chaos synchronization of uncertain chaotic systems …
This paper mainly investigates two kinds of sliding mode synchronization (SMS) for multiple chaotic systems with unknown parameters and disturbances. Both multiple coupled systems …
A Wu, Z Zeng - Communications in Nonlinear Science and Numerical …, 2013 - Elsevier
In this paper, we formulate and investigate a class of memristive recurrent neural networks. Two different types of anti-synchronization algorithms are derived to achieve the exponential …
Chaos theory has a manifold variety of applications in science and engineering. In this paper, new chemical chaotic reactor equations are derived by modifying the chemical …
S Vaidyanathan, S Pakiriswamy - Journal of Engineering …, 2015 - pdfs.semanticscholar.org
This research work proposes a five-term 3-D novel conservative chaotic system with a quadratic nonlinearity and a quartic nonlinearity. The conservative chaotic systems have the …
This research work proposes a seven-term novel 3-D chaotic system with three quadratic nonlinearities and analyses the fundamental properties of the system such as dissipativity …
S Vaidyanathan - International Journal of PharmTech Research, 2015 - researchgate.net
Chaos is an important applied area in nonlinear dynamical systems and it is applicable to many real-world systems including the biological systems. Nerve membranes are known to …