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 …

Biological intelligence processes information using impulses or spikes, which makes those
living creatures able to perceive and act in the real world exceptionally well and outperform …

In this paper, we investigate fuzzy neural network (FNN) control using impedance learning
for coordinated multiple constrained robots carrying a common object in the presence of the …

In this paper, an adaptive neural bounded control scheme is proposed for an n-link rigid
robotic manipulator with unknown dynamics. With the combination of the neural …

In this paper, the mean-square exponential stability is investigated for multi-linked stochastic
delayed complex networks with stochastic hybrid impulses. Distinct from the existing …

In this paper, we introduce a new class of discrete-time neural networks (DNNs) with
Markovian jum** parameters as well as mode-dependent mixed time delays (both …

The actuator failure compensation control problem of robotic systems possessing dynamic
uncertainties has been investigated in this paper. Control design against partial loss of …

This paper is concerned with the problems of stability and dissipativity analysis for static
neural networks (NNs) with time delay. Some improved delay-dependent stability criteria are …

This paper is concerned with global asymptotic stability for a class of generalized neural
networks (NNs) with interval time-varying delays, which include two classes of fundamental …

In this paper, the synchronization problem is studied for an array of N identical delayed
neutral-type neural networks with Markovian jum** parameters. The coupled networks …