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Stabilisation in distribution of hybrid ordinary differential equations by periodic noise.

Bahar, Arifah and Dong, Ran and Mao, Xuerong (2023) Stabilisation in distribution of hybrid ordinary differential equations by periodic noise. IET Control Theory and Applications, 17 (4). pp. 463-476. ISSN 1751-8644

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Official URL: http://dx.doi.org/10.1049/cth2.12383

Abstract

Many systems in the real world are periodic due to periodic phenomena in nature. Periodic hybrid stochastic differential equations are often used to model them. In many situations, it is inappropriate to study whether the solutions of periodic hybrid stochastic differential equations will converge to an equilibrium state (say, 0 or the trivial solution) but more appropriate to discuss whether the probability distributions of the solutions will converge to a stationary distribution, known as stability in distribution. This paper aims to determine whether or not a periodic stochastic state feedback control can make a given nonlinear periodic hybrid differential equation, which is not stable in distribution, to become stable in distribution. This problem will be referred to as stabilisation in distribution by periodic noise. There is little known on this problem so far. This paper initiates the study in this direction.

Item Type:Article
Uncontrolled Keywords:Nonlinear equations; Ordinary differential equations; Probability distributions; State feedback; Stochastic control systems; Stochastic models; Stochastic systems
Subjects:Q Science > Q Science (General)
Divisions:Science
ID Code:104956
Deposited By: Muhamad Idham Sulong
Deposited On:01 Apr 2024 06:24
Last Modified:01 Apr 2024 06:24

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