Reliability modeling of fault tolerant control systems

Hongbin Li; Qing Zhao; Zhenyu Yang

International Journal of Applied Mathematics and Computer Science (2007)

  • Volume: 17, Issue: 4, page 491-504
  • ISSN: 1641-876X

Abstract

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This paper proposes a novel approach to reliability evaluation for active Fault Tolerant Control Systems (FTCSs). By introducing a reliability index based on the control performance and hard deadline, a semi-Markov process model is proposed to describe system operation for reliability evaluation. The degraded performance of FTCSs in the presence of imperfect Fault Detection and Isolation (FDI) is reflected by semi-Markov states. The semi-Markov kernel, the key parameter of the process, is determined by four probabilistic parameters based on the Markovian model of FTCSs. Computed from the transition probabilities of the semi-Markov process, the reliability index incorporates control objectives, hard deadline, and the effects of imperfect FDI, a suitable quantitative measure of the overall performance.

How to cite

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Li, Hongbin, Zhao, Qing, and Yang, Zhenyu. "Reliability modeling of fault tolerant control systems." International Journal of Applied Mathematics and Computer Science 17.4 (2007): 491-504. <http://eudml.org/doc/207854>.

@article{Li2007,
abstract = {This paper proposes a novel approach to reliability evaluation for active Fault Tolerant Control Systems (FTCSs). By introducing a reliability index based on the control performance and hard deadline, a semi-Markov process model is proposed to describe system operation for reliability evaluation. The degraded performance of FTCSs in the presence of imperfect Fault Detection and Isolation (FDI) is reflected by semi-Markov states. The semi-Markov kernel, the key parameter of the process, is determined by four probabilistic parameters based on the Markovian model of FTCSs. Computed from the transition probabilities of the semi-Markov process, the reliability index incorporates control objectives, hard deadline, and the effects of imperfect FDI, a suitable quantitative measure of the overall performance.},
author = {Li, Hongbin, Zhao, Qing, Yang, Zhenyu},
journal = {International Journal of Applied Mathematics and Computer Science},
keywords = {reliability evaluation; fault tolerant control; semi-Markov processes},
language = {eng},
number = {4},
pages = {491-504},
title = {Reliability modeling of fault tolerant control systems},
url = {http://eudml.org/doc/207854},
volume = {17},
year = {2007},
}

TY - JOUR
AU - Li, Hongbin
AU - Zhao, Qing
AU - Yang, Zhenyu
TI - Reliability modeling of fault tolerant control systems
JO - International Journal of Applied Mathematics and Computer Science
PY - 2007
VL - 17
IS - 4
SP - 491
EP - 504
AB - This paper proposes a novel approach to reliability evaluation for active Fault Tolerant Control Systems (FTCSs). By introducing a reliability index based on the control performance and hard deadline, a semi-Markov process model is proposed to describe system operation for reliability evaluation. The degraded performance of FTCSs in the presence of imperfect Fault Detection and Isolation (FDI) is reflected by semi-Markov states. The semi-Markov kernel, the key parameter of the process, is determined by four probabilistic parameters based on the Markovian model of FTCSs. Computed from the transition probabilities of the semi-Markov process, the reliability index incorporates control objectives, hard deadline, and the effects of imperfect FDI, a suitable quantitative measure of the overall performance.
LA - eng
KW - reliability evaluation; fault tolerant control; semi-Markov processes
UR - http://eudml.org/doc/207854
ER -

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Citations in EuDML Documents

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  1. Abdelaziz Zaidi, Belkacem Ould Bouamama, Moncef Tagina, Bayesian reliability models of Weibull systems: State of the art
  2. Hideaki Itoh, Hisao Fukumoto, Hiroshi Wakuya, Tatsuya Furukawa, Bottom-up learning of hierarchical models in a class of deterministic POMDP environments
  3. Ahmed Khelassi, Didier Theilliol, Philippe Weber, Reconfigurability analysis for reliable fault-tolerant control design
  4. Marcello Bonfè, Paolo Castaldi, Nicola Mimmo, Silvio Simani, Active fault tolerant control of nonlinear systems: The cart-pole example
  5. Lothar Seybold, Marcin Witczak, Paweł Majdzik, Ralf Stetter, Towards robust predictive fault-tolerant control for a battery assembly system

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