Stability for stochastic reaction–diffusion systems driven by G-Brownian motion
Author:
Affiliation:
1. Department of Mathematics, Anhui Normal University, Wuhu, People's Republic of China
2. School of Science, Beijing University of Civil Engineering and Architecture, Beijing, People's Republic of China
Funder
National Natural Science Foundation of China
Publisher
Informa UK Limited
Subject
Computer Science Applications,Control and Systems Engineering
Link
https://www.tandfonline.com/doi/pdf/10.1080/00207179.2021.1885742
Reference27 articles.
1. Stability of a class of nonlinear reaction–diffusion equations and stochastic homogenization
2. Stochastic Reaction-diffusion Equations Driven by Jump Processes
3. Finite-time stability theorem of stochastic nonlinear systems
4. Function Spaces and Capacity Related to a Sublinear Expectation: Application to G-Brownian Motion Paths
5. Extended dissipativity stabilization and synchronization of uncertain stochastic reaction-diffusion neural networks via intermittent non-fragile control
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2. Practical exponential stability of impulsive stochastic functional differential systems with distributed-delay dependent impulses;Nonlinear Analysis: Hybrid Systems;2024-02
3. Synchronization of Coupled Reaction-Diffusion Neural Networks Driven by G-Brownian Motion with Time-Varying Delay;2023 International Annual Conference on Complex Systems and Intelligent Science (CSIS-IAC);2023-10-20
4. Practical stability in relation to a part of variables for stochastic reaction–diffusion systems driven by G-Brownian motion;International Journal of Control;2022-04-01
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