The synchronization of neuron networks using the contraction theory is reported in this contribution. The contraction theory provides a simple method to determine convergence of trajectories of the systems in the network instead of the Master Stability Function and the calculation of Lyapunov exponents. The objective is to determine the contraction region where once the trajectories reach such region they will converge each other and remain in such a contraction region. Such a condition lies mainly on the system parameters, network topology and coupling strength. © 2011 IEEE
Concurrent synchronization of neural networks coupled via an excitatory-only protocol is addressed u...
Concurrent synchronization of neural networks coupled via an excitatory-only protocol is addressed u...
Concurrent synchronization of neural networks coupled via an excitatory-only protocol is addressed u...
The synchronization of neuron networks using the contraction theory is reported in this contribution...
In this paper contraction theory is applied to the problem of synchronization of a network. Particul...
In this paper contraction theory is applied to the problem of synchronization of a network. Particul...
In this paper contraction theory is applied to the problem of synchronization of a network. Particul...
In this paper contraction theory is applied to the problem of synchronization of a network. Particul...
This paper presents a synchronization analysis of networks of a class of power systems using the con...
This paper presents a synchronization analysis of networks of a class of power systems using the con...
Abstract. We describe a simple yet general method to analyze networks of coupled identical nonlinear...
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2005.Includ...
We describe a simple but general method to analyze networks of coupled identical nonlinear oscillato...
This paper presents a synchronization analysis of networks of a class of power systems using the con...
Concurrent synchronization of neural networks coupled via an excitatory-only protocol is addressed u...
Concurrent synchronization of neural networks coupled via an excitatory-only protocol is addressed u...
Concurrent synchronization of neural networks coupled via an excitatory-only protocol is addressed u...
Concurrent synchronization of neural networks coupled via an excitatory-only protocol is addressed u...
The synchronization of neuron networks using the contraction theory is reported in this contribution...
In this paper contraction theory is applied to the problem of synchronization of a network. Particul...
In this paper contraction theory is applied to the problem of synchronization of a network. Particul...
In this paper contraction theory is applied to the problem of synchronization of a network. Particul...
In this paper contraction theory is applied to the problem of synchronization of a network. Particul...
This paper presents a synchronization analysis of networks of a class of power systems using the con...
This paper presents a synchronization analysis of networks of a class of power systems using the con...
Abstract. We describe a simple yet general method to analyze networks of coupled identical nonlinear...
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2005.Includ...
We describe a simple but general method to analyze networks of coupled identical nonlinear oscillato...
This paper presents a synchronization analysis of networks of a class of power systems using the con...
Concurrent synchronization of neural networks coupled via an excitatory-only protocol is addressed u...
Concurrent synchronization of neural networks coupled via an excitatory-only protocol is addressed u...
Concurrent synchronization of neural networks coupled via an excitatory-only protocol is addressed u...
Concurrent synchronization of neural networks coupled via an excitatory-only protocol is addressed u...