An approach to data-driven adaptive residual generator design and implementation

S. X. Ding; S. Yin; P. Zhang; E. L. Ding; A. Naik

doi:10.3182/20090630-4-es-2003.00155

An approach to data-driven adaptive residual generator design and implementation

S. X. Ding^*
, S. Yin
, P. Zhang
, E. L. Ding
, A. Naik

^*Corresponding author for this work

University of Duisburg-Essen
Gelsenkirchen University of Applied Sciences

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

38 Scopus citations

Abstract

This paper addresses data-driven design and implementation of adaptive observer based residual generators for discrete-time systems. The basic idea behind this study is the application of an one-to-one mapping between a parity vector and the solution of Luenberger equations and the data-driven identification of parity space. For the realization of the adaptive residual generation, standard adaptive technique is applied. The proposed approach is demonstrated on the laboratory three-tank-system.

Original language	English
Title of host publication	SAFEPROCESS'09 - 7th IFAC International Symposium on Fault Detection, Supervision and Safety of Technical Systems, Proceedings
Publisher	IFAC Secretariat
Pages	941-946
Number of pages	6
ISBN (Print)	9783902661463
DOIs	https://doi.org/10.3182/20090630-4-es-2003.00155
State	Published - 2009
Externally published	Yes

Publication series

Name	IFAC Proceedings Volumes (IFAC-PapersOnline)
ISSN (Print)	1474-6670

Keywords

Adaptive systems
Data-driven methods
Fault detection
Residual generation

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10.3182/20090630-4-es-2003.00155

Cite this

Ding, S. X., Yin, S., Zhang, P., Ding, E. L., & Naik, A. (2009). An approach to data-driven adaptive residual generator design and implementation. In SAFEPROCESS'09 - 7th IFAC International Symposium on Fault Detection, Supervision and Safety of Technical Systems, Proceedings (pp. 941-946). (IFAC Proceedings Volumes (IFAC-PapersOnline)). IFAC Secretariat. https://doi.org/10.3182/20090630-4-es-2003.00155

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abstract = "This paper addresses data-driven design and implementation of adaptive observer based residual generators for discrete-time systems. The basic idea behind this study is the application of an one-to-one mapping between a parity vector and the solution of Luenberger equations and the data-driven identification of parity space. For the realization of the adaptive residual generation, standard adaptive technique is applied. The proposed approach is demonstrated on the laboratory three-tank-system.",

keywords = "Adaptive systems, Data-driven methods, Fault detection, Residual generation",

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Ding, SX, Yin, S, Zhang, P, Ding, EL & Naik, A 2009, An approach to data-driven adaptive residual generator design and implementation. in SAFEPROCESS'09 - 7th IFAC International Symposium on Fault Detection, Supervision and Safety of Technical Systems, Proceedings. IFAC Proceedings Volumes (IFAC-PapersOnline), IFAC Secretariat, pp. 941-946. https://doi.org/10.3182/20090630-4-es-2003.00155

An approach to data-driven adaptive residual generator design and implementation. / Ding, S. X.; Yin, S.; Zhang, P. et al.
SAFEPROCESS'09 - 7th IFAC International Symposium on Fault Detection, Supervision and Safety of Technical Systems, Proceedings. IFAC Secretariat, 2009. p. 941-946 (IFAC Proceedings Volumes (IFAC-PapersOnline)).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Naik, A.

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AB - This paper addresses data-driven design and implementation of adaptive observer based residual generators for discrete-time systems. The basic idea behind this study is the application of an one-to-one mapping between a parity vector and the solution of Luenberger equations and the data-driven identification of parity space. For the realization of the adaptive residual generation, standard adaptive technique is applied. The proposed approach is demonstrated on the laboratory three-tank-system.

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KW - Data-driven methods

KW - Fault detection

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ER -

Ding SX, Yin S, Zhang P, Ding EL, Naik A. An approach to data-driven adaptive residual generator design and implementation. In SAFEPROCESS'09 - 7th IFAC International Symposium on Fault Detection, Supervision and Safety of Technical Systems, Proceedings. IFAC Secretariat. 2009. p. 941-946. (IFAC Proceedings Volumes (IFAC-PapersOnline)). doi: 10.3182/20090630-4-es-2003.00155

An approach to data-driven adaptive residual generator design and implementation

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