On impulsive autoassociative neural networks

Many systems existing in physics, chemistry, biology, engineering, and info rmation science can be characterized by impulsive dynamics caused by abrupt jumps at certain instants during the process. These complex dynamical beha viors can be modeled by impulsive differential systems or impulsive neural networks. This paper formulates and studies a new model of impulsive autoas sociative neural networks. Several fundamental issues, such as global expon ential stability and existence and uniqueness of equilibria of such neural networks, are established. (C) 2000 Elsevier Science Ltd. All rights reserv ed.