This paper studies the non-fragile mixed H∞ and passive synchronization problem for Markov jump neural networks. The randomly occurring controller gain fluctuation phenomenon is investigated for non-fragile strategy. Moreover, the mixed time-varying delays composed of discrete and distributed delays are considered. By employing stochastic stability theory, synchronization criteria are developed for the Markov jump neural networks. On the basis of the derived criteria, the non-fragile synchronization controller is designed. Finally, an illustrative example is presented to demonstrate the validity of the control approach
This paper studies the globally stochastic synchronization problem for a class of neutral-type chaot...
Linear feedback control and adaptive feedback control are proposed to achieve the synchronization of...
In this paper, passivity analysis is conducted for\ud discrete-time stochastic neural networks with ...
Based on the Lyapunov stability theory, this paper mainly investigates the H∞ synchronization proble...
Continuous-time semi-Markovian jump neural networks (semi-MJNNs) are those MJNNs whose transition ra...
Continuous-time semi-Markovian jump neural networks (semi-MJNNs) are those MJNNs whose transition ra...
This article examines mixed ℋ-infinity and passivity synchronization of Markovian jumping neutral-ty...
Abstract This paper is concerned with the global fixed-time synchronization issue for semi-Markovian...
In this study, we present an approach for the decentralized event-triggered synchronization of Marko...
Synchronization control of stochastic neural networks with time-varying discrete and continuous dela...
AbstractThis paper studies the H∞ performance for the uncertain recurrent neural networks with both ...
This work concentrates on synchronization of neural networks (NNs) with Markovian parameters, where ...
The problem of delay-dependent stability analysis is investigated for discrete-time Markovian jump n...
Abstract—This paper deals with the drive-response type synchronization of delayed reaction-diffusion...
In this paper, the problem of stochastic robust stability of interval time-varying delay neural netw...
This paper studies the globally stochastic synchronization problem for a class of neutral-type chaot...
Linear feedback control and adaptive feedback control are proposed to achieve the synchronization of...
In this paper, passivity analysis is conducted for\ud discrete-time stochastic neural networks with ...
Based on the Lyapunov stability theory, this paper mainly investigates the H∞ synchronization proble...
Continuous-time semi-Markovian jump neural networks (semi-MJNNs) are those MJNNs whose transition ra...
Continuous-time semi-Markovian jump neural networks (semi-MJNNs) are those MJNNs whose transition ra...
This article examines mixed ℋ-infinity and passivity synchronization of Markovian jumping neutral-ty...
Abstract This paper is concerned with the global fixed-time synchronization issue for semi-Markovian...
In this study, we present an approach for the decentralized event-triggered synchronization of Marko...
Synchronization control of stochastic neural networks with time-varying discrete and continuous dela...
AbstractThis paper studies the H∞ performance for the uncertain recurrent neural networks with both ...
This work concentrates on synchronization of neural networks (NNs) with Markovian parameters, where ...
The problem of delay-dependent stability analysis is investigated for discrete-time Markovian jump n...
Abstract—This paper deals with the drive-response type synchronization of delayed reaction-diffusion...
In this paper, the problem of stochastic robust stability of interval time-varying delay neural netw...
This paper studies the globally stochastic synchronization problem for a class of neutral-type chaot...
Linear feedback control and adaptive feedback control are proposed to achieve the synchronization of...
In this paper, passivity analysis is conducted for\ud discrete-time stochastic neural networks with ...