Finite-time stability for stochastic delayed reaction-diffusion systems with Lévy noise and Markov switching
摘要
In this paper, a stochastic delayed reaction-diffusion system under Lévy noise and Markov switching (SDRDS-LM) is proposed and the finite-time stability (FTS) of SDRDS-LM is studied based on Lyapunov methods. Several sufficient conditions ensuring the FTS for SDRDS-LM are introduced by constructing new Lyapunov functionals. The stability theories obtained are novel and simple and can apply to many models in real life. In addition, a class of reaction-diffusion Cohen Grossberg neural network is provided to showcase the effectiveness of the theoretical results. Finally, numerical examples are given to demonstrate the validity of our theorems.