We study the dynamics of the single and coupled van der Pol-Duffing oscillators. Each
oscillator is characterized by the multistability (the coexistence of attractors). Some of the …

Robust modeling of a multimodal dynamic system is a challenging and fast-growing area of
research. In this study, an integrated bi-modal computing paradigm based on Nonlinear …

This paper is concerned with the robust exponential synchronization problem of a class of
chaotic delayed neural networks with different parametric uncertainties. A novel impulsive …

Differential equations play a vital role in the fields of engineering and science. Problems in
engineering and science can be modeled using ordinary or partial differential equations …

In this paper, the neural tracking problem is addressed for a group of uncertain nonlinear
systems where the system structures are identical but the reference signals are different …

In this paper, the problem of single-well, double-well and double-hump Van der Pol–Duffing
oscillator is studied. Governing equation is solved analytically using a new kind of analytic …

Functional link artificial neural network (FLANN) has received much attention due to its wide
applicability. The Van der Pol-Duffing oscillator (VdPDO)-based nonlinear systems, which …

Hermite polynomial-based functional link artificial neural network (FLANN) is proposed here
to solve the Van der Pol–Duffing oscillator equation. A single-layer hermite neural network …

This paper examines the synchronization performance of two widely used chaos
synchronization techniques: active control and backstep** control. It is shown that the two …

The concept of oscillator problems finds its indispensable presence in numerous dynamical
systems. Machine learning techniques for handling dynamical systems is a challenging and …