Chaos is one of the most significant findings in physics and engineering. Fractional-order
chaotic systems are nonlinear systems with special features which, some of them include …

The main contribution of this study is to introduce a simple and effective deep learning
Fourier-based type-2 fuzzy neural network for high-dimensional problems. The rules are …

The finite-time stability of fractional-order fuzzy cellular neural networks with time delays is
investigated. One of the difficulties in stability analysis of fractional-order delayed systems …

In this paper, a new robust fuzzy control approach is presented to power management in the
photovoltaic (PV)-battery hybrid system. The stability and robustness of the developed …

In this paper, we mainly propose a chaotic secure communication scheme which is based
on the synchronization of double-layered and multiple complex dynamical networks …

The stability and synchronization problems are addressed in this study for the memristor-
based fractional-order fuzzy cellular neural networks with multiple delays. By using the …

Exploring the use of fractional calculus is essential for it to be used properly in various
applications. Implementing the fractional operator D α in FPGA is an important research …

This paper concentrates on the finite-time stability (FTS) for fractional-order fuzzy cellular
neural networks involving leakage and discrete delays. We propose a method to develop a …

This paper introduces two FPGA based design approaches of the fractional order integrator
and differentiator using Grünwald Letnikov (GL) definition where fixed window and linear …

In this paper, a fuzzy control method is proposed for a class of fractional-order chaotic
systems. The dynamics of the system are unknown and are perturbed by the external …