Integrated fault estimation and fault-tolerant control for stochastic systems with Brownian motions

Liu, Xiaoxu and Gao, Zhiwei (2018) Integrated fault estimation and fault-tolerant control for stochastic systems with Brownian motions. International Journal of Robust and Nonlinear Control, 28 (6). pp. 1915-1941. ISSN 1049-8923

IJRNC_final may 2018.pdf - Accepted Version

Download (926kB) | Preview
Official URL:


This paper presents an integrated robust fault estimation and fault‐tolerant control technique for stochastic systems subjected to Brownian parameter perturbations. The augmented system approach, unknown input observer method, and optimization technique are integrated to achieve robust simultaneous estimates of the system states and the means of faults concerned. Meanwhile, a robust fault‐tolerant control strategy is developed by using actuator and sensor signal compensation techniques. Stochastic linear time‐invariant systems, stochastic systems with Lipschitz nonlinear constraint, and stochastic systems with quadratic inner‐bounded nonlinear constraint are respectively investigated, and the corresponding fault‐tolerant control algorithms are addressed. Finally, the effectiveness of the proposed fault‐tolerant control techniques is demonstrated via the drivetrain system of a 4.8 MW benchmark wind turbine, a 3‐tank system, and a numerical nonlinear model.

Item Type: Article
Uncontrolled Keywords: Brownian motions, fault estimation, fault‐tolerant control, stochastically input‐to‐state stability
Subjects: H100 General Engineering
Department: Faculties > Engineering and Environment > Mathematics, Physics and Electrical Engineering
Depositing User: Becky Skoyles
Date Deposited: 17 May 2018 12:03
Last Modified: 01 Aug 2021 09:20

Actions (login required)

View Item View Item


Downloads per month over past year

View more statistics