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Stability analysis for uncertain differential equation by Lyapunov’s second method
- Source :
- Fuzzy Optimization and Decision Making. 20:129-144
- Publication Year :
- 2020
- Publisher :
- Springer Science and Business Media LLC, 2020.
-
Abstract
- 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.
- Subjects :
- Lyapunov function
Lyapunov stability
0209 industrial biotechnology
Logic
Differential equation
02 engineering and technology
Lipschitz continuity
symbols.namesake
Stochastic differential equation
020901 industrial engineering & automation
Wiener process
Exponential stability
Artificial Intelligence
Stability theory
0202 electrical engineering, electronic engineering, information engineering
symbols
Applied mathematics
020201 artificial intelligence & image processing
Software
Mathematics
Subjects
Details
- ISSN :
- 15732908 and 15684539
- Volume :
- 20
- Database :
- OpenAIRE
- Journal :
- Fuzzy Optimization and Decision Making
- Accession number :
- edsair.doi...........5034bbd44948420216736d3665c48fa2
- Full Text :
- https://doi.org/10.1007/s10700-020-09336-7