DocumentCode :
2522512
Title :
Moment stability in mean square of stochastic delay differential equation
Author :
Xue, Peng ; Yamamoto, Shigeru ; Ikei, Yosuke
Author_Institution :
Grad. Sch. of Natural Sci. & Technol., Kanazawa Univ., Ishikawa, Japan
fYear :
2011
fDate :
23-25 May 2011
Firstpage :
3159
Lastpage :
3162
Abstract :
In this paper, we derive a moment stability region in terms of coefficient parameters for a stochastic delay differential equation. Such a stochastic delay equation with both time delay and random effects is an essential model of control systems. As a main result, a fundamental stability problem is solved by delay-dependent stochastic analysis. We adopt the domain-subdivision approach and use Ito´s formula in the analysis. For a given time delay, the stability of the stochastic delay differential equation is studied with variable power of noise. It is also shown that an unstable stochastic delay system become stable by an appropriate power of noise. The main results are illustrated by several numerical solutions of the stochastic delay model.
Keywords :
delay-differential systems; delays; differential equations; stability; stochastic systems; Ito formula; coefficient parameters; control systems; delay-dependent stochastic analysis; domain-subdivision approach; mean square; moment stability; random effects; stochastic delay differential equation; time delay; unstable stochastic delay system; Delay; Delay effects; Differential equations; Equations; Numerical stability; Stability analysis; Stochastic processes; Stabilization; Stochastic; Time delay;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control and Decision Conference (CCDC), 2011 Chinese
Conference_Location :
Mianyang
Print_ISBN :
978-1-4244-8737-0
Type :
conf
DOI :
10.1109/CCDC.2011.5968799
Filename :
5968799
Link To Document :
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