Varga, Andreas (2011) On computing minimal proper nullspace bases with applications in fault detection. In: Lecture Notes in Electrical Engineering, 80. Springer. pp. 433-465.
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Abstract
We discuss computationally efficient and numerically reliable algorithms to compute minimal proper nullspace bases of a rational or polynomial matrix. The underlying main computational tool is the orthogonal reduction to a Kronecker-like form of the system matrix of an equivalent descriptor system realization. A new algorithm is proposed to compute a simple minimal proper nullspace basis, starting from a non-simple one. Minimal dynamic cover based computational techniques are used for this purpose. The discussed methods allow a high flexibility in addressing several fault detection related applications.
Item URL in elib: | https://elib.dlr.de/70415/ | ||||||
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Document Type: | Book Section | ||||||
Title: | On computing minimal proper nullspace bases with applications in fault detection | ||||||
Authors: |
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Date: | 2011 | ||||||
Refereed publication: | Yes | ||||||
Open Access: | Yes | ||||||
Gold Open Access: | No | ||||||
In SCOPUS: | No | ||||||
In ISI Web of Science: | No | ||||||
Volume: | 80 | ||||||
Page Range: | pp. 433-465 | ||||||
Publisher: | Springer | ||||||
Series Name: | Lecture Notes in Electrical Engineering | ||||||
Status: | Published | ||||||
Keywords: | numerical methods, linear pencils, fault detection, descriptor systems | ||||||
HGF - Research field: | Aeronautics, Space and Transport | ||||||
HGF - Program: | Aeronautics | ||||||
HGF - Program Themes: | Aircraft Research (old) | ||||||
DLR - Research area: | Aeronautics | ||||||
DLR - Program: | L AR - Aircraft Research | ||||||
DLR - Research theme (Project): | L - Systems & Cabin (old) | ||||||
Location: | Oberpfaffenhofen | ||||||
Institutes and Institutions: | Institute of Robotics and Mechatronics (until 2012) > System Dynamics and Control (former Control Design Engineering) | ||||||
Deposited By: | Varga, Dr.-Ing. Andreas | ||||||
Deposited On: | 19 Jul 2011 10:55 | ||||||
Last Modified: | 31 Jul 2019 19:32 |
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