Add to ORKGA decentralized feedback control scheme is proposed to synchronize linearly coupled identical neural networks with time-varying delay and parameter uncertainties. Sufficient condition for synchronization is developed by carefully investigating the uncertain nonlinear synchronization error dynamics in this article. A procedure for designing a decentralized synchronization controller is proposed using linear matrix inequality (LMI) technique. The designed controller can drive the synchronization error to zero and overcome disruption caused by system uncertainty and external disturbance
An adaptive master-slave output feedback synchronization problem is studied firstly for a network of...
The problem of exponential synchronization for neural networks is investigated via feedback control ...
In this paper, we focus on the robust fixed-time synchronization for discontinuous neural networks (...
This paper investigates the controller design problem for mean-square asymptotical synchronization o...
This paper investigates the controller design problem for mean-square asymptotical synchronization o...
This paper establishes an exponential H∞ synchronization method for a class of uncertain master and ...
In this paper, the robust synchronization problem is addressed for recurrent neural networks with ti...
Synchronization and control are two very important aspects of any dynamical systems. Among various k...
Published version of an article from the journal: IEEE Transactions on Systems Man and Cybernetics P...
This paper focuses on network-based master-slave synchronization for delayed neural networks through...
In this study, we present an approach for the decentralized event-triggered synchronization of Marko...
In this paper, we consider the decentralized robust stabilization problem of large-scale interconnec...
This paper establishes an exponential H∞ synchronization method for a class of master and slave neur...
Synchronization control of stochastic neural networks with time-varying discrete and continuous dela...
Abstract — This paper considers the application of the neural networks for the guaranteed cost contr...
An adaptive master-slave output feedback synchronization problem is studied firstly for a network of...
The problem of exponential synchronization for neural networks is investigated via feedback control ...
In this paper, we focus on the robust fixed-time synchronization for discontinuous neural networks (...
This paper investigates the controller design problem for mean-square asymptotical synchronization o...
This paper investigates the controller design problem for mean-square asymptotical synchronization o...
This paper establishes an exponential H∞ synchronization method for a class of uncertain master and ...
In this paper, the robust synchronization problem is addressed for recurrent neural networks with ti...
Synchronization and control are two very important aspects of any dynamical systems. Among various k...
Published version of an article from the journal: IEEE Transactions on Systems Man and Cybernetics P...
This paper focuses on network-based master-slave synchronization for delayed neural networks through...
In this study, we present an approach for the decentralized event-triggered synchronization of Marko...
In this paper, we consider the decentralized robust stabilization problem of large-scale interconnec...
This paper establishes an exponential H∞ synchronization method for a class of master and slave neur...
Synchronization control of stochastic neural networks with time-varying discrete and continuous dela...
Abstract — This paper considers the application of the neural networks for the guaranteed cost contr...
An adaptive master-slave output feedback synchronization problem is studied firstly for a network of...
The problem of exponential synchronization for neural networks is investigated via feedback control ...
In this paper, we focus on the robust fixed-time synchronization for discontinuous neural networks (...