Recurrent neural networks for dynamic system modeling
Jennie Si, Lisha Pang · 2002
Stability properties of recurrent neural networks are investigated using Lyapunov stability theory. Two sufficient conditions for the global asymptotic stability of equilibrium points of a class of recurrent neural networks are provided. The applicability of recurrent neural networks for nonlinear dynamic system modeling and control is discussed.>