Fault diagnosis and fault‐tolerant control for non‐Gaussian non‐linear stochastic systems using a rational square‐root approximation model-Reference-Cited by-同舟云学术

Fault diagnosis and fault‐tolerant control for non‐Gaussian non‐linear stochastic systems using a rational square‐root approximation model

Published:2013-01 Issue:1 Volume:7 Page:116-124
ISSN:1751-8652
Container-title:IET Control Theory & Applications
language:en
Short-container-title:IET Control Theory & Applications

Author:

Yao Lina¹,Qin Jifeng¹,Wang Aiping²,Wang Hong³

Affiliation:

1. School of Electrical Engineering, Zhengzhou UniversityZhengzhou450001People's Republic of China

2. Institute of Computing, Anhui UniversityHefei230039People's Republic of China

3. Control Systems Centre, University of ManchesterManchesterM60 1QDUK

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Control and Optimization,Computer Science Applications,Human-Computer Interaction,Control and Systems Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-cta.2012.0466

Reference25 articles.

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4. Particle filtering based likelihood ratio approach to fault diagnosis in nonlinear stochastic systems

5. Conditional densities for continuous-time nonlinear hybrid systems with applications to fault detection

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