期刊
FUZZY OPTIMIZATION AND DECISION MAKING
卷 20, 期 1, 页码 129-144出版社
SPRINGER
DOI: 10.1007/s10700-020-09336-7
关键词
Uncertain differential equation; Stability in measure; Stochastic differential equation; Asymptotic stability; Lyapunov's second method
资金
- Fund for Talent Engineering of Ocean University of China [842012006]
This paper introduces the Lyapunov's second method for studying stability of uncertain differential equations, presenting two sufficient conditions and validating the theoretical findings through illustrative examples.
Uncertain differential equation is a type of differential equation driven by Liu process that is the counterpart of Wiener process in the framework of uncertainty theory. The stability theory is of particular interest among the properties of the solutions to uncertain differential equations. In this paper, we introduce the Lyapunov's second method to study stability in measure and asymptotic stability of uncertain differential equation. Different from the existing results, we present two sufficient conditions in sense of Lyapunov stability, where the strong Lipschitz condition of the drift is no longer indispensable. Finally, illustrative examples are examined to certify the effectiveness of our theoretical findings.
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