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Journals and Conferences
In this short paper, we point out that a single local stability controller can pin a linear or nonlinear coupled complex network to a specified solution (or an equilibrium) of the coupled complex network. A rigorous mathematical proof is given, too.
In this paper, we investigate synchronization of an array of linearly coupled identical connected neural networks with delays; Variational method is used to investigate local synchronization. Global exponential stability is studied, too. We do not assume that the coupling matrix is symmetric or irreducible. The linear matrix inequality approach is used to… (More)
Hua, Yingbo, Xiang, Yong, Chen, Tianping, Abed-Meraim, Karim, and Miao, Yongfeng, A New Look at the Power Method for Fast Subspace Tracking, Digital Signal Processing 9 (1999), 297–314. A class of fast subspace tracking methods such as the Oja method, the projection approximation subspace tracking (PAST) method, and the novel information criterion (NIC)… (More)
In this paper, we discuss dynamics of Cohen–Grossberg neural networks with discontinuous activations functions. We provide a relax set of sufficient conditions based on the concept of Lyapunov diagonally stability (LDS) for Cohen–Grossberg networks to be absolutely stable. Moreover, under certain conditions we prove that the system is exponentially stable… (More)
The purpose of this paper is to investigate neural network capability systematically. The main results are: 1) every Tauber-Wiener function is qualified as an activation function in the hidden layer of a three-layered neural network; 2) for a continuous function in S'(R(1 )) to be a Tauber-Wiener function, the necessary and sufficient condition is that it… (More)
The authors discuss delayed Cohen-Grossberg neural network models and investigate their global exponential stability of the equilibrium point for the systems. A set of sufficient conditions ensuring robust global exponential convergence of the Cohen-Grossberg neural networks with time delays are given.
In this letter, without assuming the boundedness of the activation functions, we discuss the dynamics of a class of delayed neural networkswith discontinuous activation functions. A relaxed set of sufficient conditions is derived, guaranteeing the existence, uniqueness, and global stability of the equilibrium point. Convergence behaviors for both state and… (More)
We use the concept of the Filippov solution to study the dynamics of a class of delayed dynamical systems with discontinuous right-hand side, which contains the widely-studied delayed neural network models with almost periodic self-inhibitions, interconnections weights and external inputs. We prove that diagonal dominant conditions can guarantee the… (More)