This paper is concentrated on exploring the exponential synchronization of reaction-
diffusion coupled neural networks with fractional-order and impulses. Firstly, an extended …

This article identifies a new upper bound norm for the intervalized interconnection matrices
pertaining to delayed dynamical neural networks under the parameter uncertainties. By …

In this paper, we focus on the global stability analysis with respect to dynamical delayed
neural networks (NNs) that contain parameter uncertainties. Many investigations on the …

This paper is concerned with the problems of finite-time boundedness and finite-time H∞
control for a class of uncertain systems with time-varying delays and exogenous …

This paper addresses the design of a non-fragile exponential polynomial observer for a
class of fractional-order nonlinear systems. Existence of the observer is proven and a …

This paper deals with the global asymptotic robust stability (GARS) of neural networks (NNs)
with constant time delay via Frobenius norm. The Frobenius norm result has been utilized to …

Uncertain differential equations with time-varying delay are a special type of uncertain
functional differential equation. Stability in measure and stability in mean for this type of …

State observers are essential components of a modern control system. It is often designed
based on a mathematical model of the process, thus requiring detailed process knowledge …