Stability problems of continuous-time recurrent neural networks have been extensively
studied, and many papers have been published in the literature. The purpose of this paper is …

This paper is concerned with the problem of extended dissipativity-based state estimation for
discrete-time Markov jump neural networks (NNs), where the variation of the piecewise time …

This paper investigates the problem of exponential passive filtering for a class of stochastic
neutral-type neural networks with both semi-Markovian jump parameters and mixed time …

This paper is concerned with p th moment exponential stability problem for a class of
stochastic delay differential equations driven by Lévy processes. Several new stability …

Continuous-time semi-Markovian jump neural networks (semi-MJNNs) are those MJNNs
whose transition rates are not constant but depend on the random sojourn time. Addressing …

Most of the available control schemes for pure-feedback systems are derived based on the
backstep** technique. On the contrary, this paper presents a novel adaptive control …

This paper mainly deals with the problem of exponential and adaptive synchronization for a
type of inertial complex-valued neural networks via directly constructing Lyapunov …

This article is devoted to stability analysis of stochastic nonlinear delay systems subject to
multiple periodic impulses. By means of the stochastic analysis technique and improved …

Since the speed that the th moment of an output signal norm tends to 0 can be used to
measure the quality of the output signal, the stability of the th moment of complex networks …

This article pays attention to finite-time (FnT) th moment asymptotically bounded (MAB) for
stochastic nonlinear systems (SNSs) and its application to th moment quasi-synchronization …