Sensor Fault Diagnosis and Fault-Tolerant Control for Non-Gaussian Stochastic Distribution Systems
A sensor fault diagnosis method based on learning observer is proposed for non-Gaussian stochastic distribution control (SDC) systems. First, the system is modeled, and the linear B-spline is used to approximate the probability density function (PDF) of the system output. Then a new state variable i...
Main Authors: | Hao Wang, Lina Yao |
---|---|
Format: | Article |
Language: | English |
Published: |
Hindawi Limited
2019-01-01
|
Series: | Mathematical Problems in Engineering |
Online Access: | http://dx.doi.org/10.1155/2019/5839576 |
Similar Items
-
Fault Diagnosis and Fault Tolerant Control for Non-Gaussian Singular Time-Delayed Stochastic Distribution Systems
by: Lina Yao, et al.
Published: (2014-01-01) -
Generalized Correntropy Filter-Based Fault Diagnosis and Tolerant Control for Non-Gaussian Stochastic Systems Subject to Sensor Faults
by: Xinying Xu, et al.
Published: (2018-01-01) -
Minimum Entropy Active Fault Tolerant Control of the Non-Gaussian Stochastic Distribution System Subjected to Mean Constraint
by: Haokun Jin, et al.
Published: (2017-05-01) -
Fault Diagnosis and Minimum Rational Entropy Fault Tolerant Control of Stochastic Distribution Collaborative Systems
by: Lina Yao, et al.
Published: (2018-10-01) -
Integrated Sensor Fault Diagnosis and Fault-Tolerant Control for Manipulator
by: Bowen Hong, et al.
Published: (2019-01-01)