Finite-Time Stability and Stabilization of Highly Nonlinear Stochastic Systems via the Noise Control

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Authors: Haiqi Peng, Quanxin Zhu
Cited by: 3
References: 31

Abstract

This paper provides a new perspective for the stability analysis of highly nonlinear stochastic systems, including stochastic finite-time (FT) stability, stochastic fixed-time (FIXT) stability, and stochastic predefined-time (PT) stability. Compared with other relevant literature, we explicitly demonstrate the beneficial effects of stochastic terms on these stabilities, and significantly enhance the differential operator conditions of the Lyapunov function by utilizing them. Additionally, we provide sufficient conditions for the instability of highly nonlinear stochastic systems. Finally, unlike previous control methods, we propose a class of stochastic control methods that guarantee stochastic PT stability, clearly illustrating that both the drift and diffusion coefficients can be highly nonlinear.

Fields of Study & Subjects

Stability and Control of Uncertain Systems Adaptive Control of Nonlinear Systems Control and Dynamics of Mobile Robots

Publication details

Journal / source
IEEE Transactions on Automatic Control
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Volume
71
Issue
7
Pages
4796–4802
Publication date
3 February 2026