Title :
Global convergence of delayed dynamical systems
Author_Institution :
Inst. of Math., Fudan Univ., Shanghai, China
fDate :
11/1/2001 12:00:00 AM
Abstract :
We discuss some delayed dynamical systems, investigating their stability and convergence in a critical case. To ensure the stability, the coefficients of the dynamical system must satisfy some inequalities. In most existing literatures, the restrictions on the coefficients are strict inequalities. The tough question is what will happen in the case (critical case) the strict inequalities are replaced by nonstrict inequalities (i.e., "<" is replaced by "⩽"). The purpose of the paper is to discuss this critical case and give an affirmative answer in the case that the activation functions are hyperbolic tangent
Keywords :
asymptotic stability; convergence; delay systems; neural nets; asymptotic stability; delayed dynamical systems; delayed neural networks; global convergence; Biological neural networks; Cellular neural networks; Convergence; Delay effects; Delay systems; Differential equations; Helium; Hopfield neural networks; Mathematics; Stability;
Journal_Title :
Neural Networks, IEEE Transactions on
