This paper performs a global robust stability analysis of a particular class of hybrid bidirectional associative memory time-varying delayed neural network with norm-bounded timevarying parameter uncertainties. The activation functions are assumed to be globally Lipschitz continuous. Globally delay-dependent robust stability criteria are derived in the form of linear matrix inequalities by introducing relaxation matrices which, when chosen properly, produce a less conservative result. Two numerical examples are given to illustrate the significant improvement obtained in the conservativeness of the delay bound.
Lu, Chien-Yu; Chang, Koan-Yuh; Tsai, Hsun-Heng; and Chang, Wen-Jer
"A DELAY-DEPENDENT APPROACH TO ROBUST STABILITY FOR UNCERTAIN HYBRID BIDIRECTIONAL ASSOCIATIVE MEMORY NEURAL NETWORKS WITH TIME-VARYING DELAYS,"
Journal of Marine Science and Technology: Vol. 18:
2, Article 2.
Available at: https://jmstt.ntou.edu.tw/journal/vol18/iss2/2