Title :
Robust stability for neural networks of neutral-type with mixed time-delays
Author :
Zhu, Qingyu ; Zhou, Wuneng ; Mou, Xiaozheng
Author_Institution :
Coll. of Inf. Sci. & Technol., Donghua Univ., Shanghai, China
Abstract :
In this paper, the robust stability is investigated for neural networks of neutral-type with both discrete and distributed time-varying delays. Based on Lyapunov-Krasovskii stability theory and stochastic analysis approaches, several new criteria are derived to guarantee the robust stability of the system. Some numerical examples are given to demonstrate the applicability of our proposed stability criteria.
Keywords :
delays; neurocontrollers; robust control; stochastic processes; Lyapunov-Krasovskii stability theory; discrete time-varying delays; distributed time-varying delays; mixed time-delays; neural networks; robust stability; stochastic analysis; Artificial neural networks; Asymptotic stability; Delay; Numerical stability; Robust stability; Stability criteria; Symmetric matrices; discrete and distributed time-delays; neural networks; neutral-type; robust stability;
Conference_Titel :
Intelligent Control and Automation (WCICA), 2010 8th World Congress on
Conference_Location :
Jinan
Print_ISBN :
978-1-4244-6712-9
DOI :
10.1109/WCICA.2010.5554143
