Object
Title: Novel fault detection criteria based on linear quadratic control performances
Contributor:
Cordón, Oskar - ed. ; Kazienko, Przemysław - ed.
Subtitle:
Hybrid and Ensemble Methods in Machine Learning
Group publication title:
Abstract:
This paper proposes a new approach to designing a relatively simple algorithmic fault detection system that is potentially applicable in embedded diagnostic structures. The method blends the LQ control principle with checking and evaluating unavoidable degradation in the sequence of discrete-time LQ control performance index values due to faults in actuators, sensors or system dynamics. ; Design conditions are derived, and direct computational forms of the algorithms are given. A simulation example subject to different types of failures is used to illustrate the design process and to demonstrate the effectiveness of the method.
Publisher:
Zielona Góra: Uniwersytet Zielonogórski
Resource Identifier:
DOI:
Pages:
Source:
AMCS, Volume 22, Number 4 (2012) ; click here to follow the link
Language:
Rights:
Biblioteka Uniwersytetu Zielonogórskiego
Object collections:
- Digital Library of Zielona Góra > Repository > Faculties > Faculty of Computer, Electrical and Control Engineering
- Digital Library of Zielona Góra > Repository > Types of work > Articles
- Digital Library of Zielona Góra > Repository > Scientific journals and UZ publishing series > International Journal of Applied Mathematics and Computer Science (AMCS) > International Journal of Applied Mathematics and Computer Science (AMCS) (2012)
Last modified:
Oct 14, 2021
In our library since:
Sep 15, 2021
Number of object content hits:
84
All available object's versions:
https://www.zbc.uz.zgora.pl/publication/65819
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International Journal of Applied Mathematics and Computer Science (AMCS)
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International Journal of Applied Mathematics and Computer Science (AMCS), volume 22, number 1 (2012)
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| Edition name | Date |
|---|---|
| Novel fault detection criteria based on linear quadratic control performances | Oct 14, 2021 |
