Title :
Mean square stability of impulsive stochastic reaction diffusion systems
Author :
Luo, Qi ; Zhang, Yutian
Author_Institution :
Coll. of Inf. & Control, Nanjing Univ. of Inf. Sci. & Technol., Nanjing, China
Abstract :
In this paper, based on Lyapunov function method and stochastic analysis theory, the stability of a class of impulsive stochastic reaction diffusion differential equations is investigated and some new criteria are obtained ensuring the mean square stability of trivial solution. As an application, a class of semi-linear stochastic impulsive reaction diffusion differential equations has been discussed to show the effectiveness of our results. This work is ended with an illustrative example demonstrating the valid of the provided criterion.
Keywords :
Lyapunov methods; differential equations; reaction-diffusion systems; stability; stochastic processes; Lyapunov function method; impulsive stochastic reaction diffusion differential equations; mean square stability; stochastic analysis theory; Artificial neural networks; Delay; Differential equations; Equations; Stability criteria; Stochastic processes;
Conference_Titel :
Information Science and Technology (ICIST), 2011 International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-9440-8
DOI :
10.1109/ICIST.2011.5765181