Mean-square exponential stability of stochastic Volterra systems in infinite dimensions

被引:0
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作者
Fu, Lin [1 ]
Peng, Shiguo [1 ]
Deng, Feiqi [2 ]
Zhu, Quanxin [3 ]
机构
[1] School of Automation, Guangdong University of Technology, Guangzhou,510006, China
[2] School of Automation Science and Engineering, South China University of Technology, Guangzhou,510006, China
[3] Key Laboratory of Computing and Stochastic Mathematics (Ministry of Education), School of Mathematics and Statistics, Hunan Normal University, Changsha,410081, China
关键词
This work was supported by National Natural Science Foundation of China (Grant Nos. 61973092; 62073144; 62333006; 62173139) and Science and Technology Innovation Program of Hunan Province (Grant No. 2021RC4030);
D O I
10.1007/s11432-023-4036-0
中图分类号
学科分类号
摘要
Over the past decade, the study of stability theory in integro-differential systems has grown significantly owing to their relevance in solving physical and engineering problems, such as viscoelasticity and thermo-viscoelasticity in materials with memory properties. This paper concentrates on a class of infinite-dimensional stochastic integro-differential systems. We establish the well-posedness of the system and identify mild solutions to the system and an abstract stochastic Cauchy problem. This identification is identified by employing a semigroup approach combined with Yosida approximation. We derive sufficient conditions that ensure the mean-square exponential stability of mild solutions to the system boils down to the boundedness of a certain function and a norm estimate for the stochastic part. These conditions are implemented through the semigroup approach and the composition operator method. Illustrative examples are provided and the obtained theoretical results are validated by numerical simulations.
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