Title :
Mean square exponential stability of a class of neutral stochastic delayed neural networks
Author :
Qu Yi ; Ma Qian ; Zhang Yi-jun
Author_Institution :
Sch. of Autom., Nanjing Univ. of Sci. & Technol., Nanjing, China
Abstract :
This paper considers the problem of mean square exponential stability of neutral stochastic neural networks with time delays and parameter uncertainties. Delay-dependent conditions are derived and are expressed in terms of linear matrix inequalities. An example is provided to show the effectiveness of the proposed conditions.
Keywords :
delays; least mean squares methods; linear matrix inequalities; neural nets; numerical stability; stochastic processes; delay-dependent conditions; linear matrix inequalities; mean square exponential stability; neutral stochastic delayed neural networks; parameter uncertainties; time delays; Control theory; Linear matrix inequalities; Neural networks; Stability criteria; Symmetric matrices; Delay-dependent criteria; Linear matrix inequality (LMI); Mean square exponential stability; Neural networks;
Conference_Titel :
Control Conference (CCC), 2013 32nd Chinese
Conference_Location :
Xi´an
