Sets of generalized H-2 exponential stability criteria for switched multilayer dynamic neural networks

Abstract

This paper investigates new sets of generalized H-2 exponential stability criteria for switched multilayer dynamic neural networks. These sets of sufficient stability criteria in forms of linear matrix inequality (LMI) and matrix norm are presented, under which switched multilayer dynamic neural networks reduce the effect of external input to a predefined level. The proposed sets of criteria also guarantee exponential stability for switched multilayer dynamic neural networks without external input.