Mode tracking of hybrid systems in FDI framework

Shai A. Arogeti; Danwei Wang; Chang Boon Low; Dan Hong Zhang; Junhong Zhou

doi:10.1109/RAMECH.2008.4681450

Mode tracking of hybrid systems in FDI framework

Shai A. Arogeti, Danwei Wang, Chang Boon Low, Dan Hong Zhang, Junhong Zhou

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

16 Scopus citations

Abstract

A hybrid system combines continuous and discrete dynamics and runs with a set of modes. In [3],[4], we proposed an efficient health monitoring method for hybrid systems. This method utilizes unified constraint relations, named the Global Analytical Redundancy Relations (GARRs). Using GARRs for hybrid system health monitoring requires knowledge of the system's mode which is provided by a mode tracker. GARRs represent global information (i.e. information relevant to all modes), and the hybrid system properties can be analyzed across system's modes. In this paper, we utilize this unique feature to develop a GARRs based mode tracking approach. The most significant contribution of this development is the Mode-Change Signature Matrix, its derivation from the GARRs and its use for mode tracking.

Original language	English
Title of host publication	2008 IEEE International Conference on Robotics, Automation and Mechatronics, RAM 2008
Pages	841-846
Number of pages	6
DOIs	https://doi.org/10.1109/RAMECH.2008.4681450
State	Published - 31 Dec 2008
Externally published	Yes
Event	2008 IEEE International Conference on Robotics, Automation and Mechatronics, RAM 2008 - Chengdu, China Duration: 21 Sep 2008 → 24 Sep 2008

Publication series

Name	2008 IEEE International Conference on Robotics, Automation and Mechatronics, RAM 2008

Conference

Conference	2008 IEEE International Conference on Robotics, Automation and Mechatronics, RAM 2008
Country/Territory	China
City	Chengdu
Period	21/09/08 → 24/09/08

Keywords

Fault detection and isolation
Hybrid systems
Mode tracking
Mode-change signature
Model based

ASJC Scopus subject areas

Artificial Intelligence
Computer Vision and Pattern Recognition
Electrical and Electronic Engineering

Access to Document

10.1109/RAMECH.2008.4681450

Cite this

Arogeti, S. A., Wang, D., Low, C. B., Zhang, D. H., & Zhou, J. (2008). Mode tracking of hybrid systems in FDI framework. In 2008 IEEE International Conference on Robotics, Automation and Mechatronics, RAM 2008 (pp. 841-846). Article 4681450 (2008 IEEE International Conference on Robotics, Automation and Mechatronics, RAM 2008). https://doi.org/10.1109/RAMECH.2008.4681450

@inproceedings{7a1252e019524a9689487c36f78d2931,

title = "Mode tracking of hybrid systems in FDI framework",

abstract = "A hybrid system combines continuous and discrete dynamics and runs with a set of modes. In [3],[4], we proposed an efficient health monitoring method for hybrid systems. This method utilizes unified constraint relations, named the Global Analytical Redundancy Relations (GARRs). Using GARRs for hybrid system health monitoring requires knowledge of the system's mode which is provided by a mode tracker. GARRs represent global information (i.e. information relevant to all modes), and the hybrid system properties can be analyzed across system's modes. In this paper, we utilize this unique feature to develop a GARRs based mode tracking approach. The most significant contribution of this development is the Mode-Change Signature Matrix, its derivation from the GARRs and its use for mode tracking.",

keywords = "Fault detection and isolation, Hybrid systems, Mode tracking, Mode-change signature, Model based",

author = "Arogeti, {Shai A.} and Danwei Wang and Low, {Chang Boon} and Zhang, {Dan Hong} and Junhong Zhou",

year = "2008",

month = dec,

day = "31",

doi = "10.1109/RAMECH.2008.4681450",

language = "English",

isbn = "9781424416769",

series = "2008 IEEE International Conference on Robotics, Automation and Mechatronics, RAM 2008",

pages = "841--846",

booktitle = "2008 IEEE International Conference on Robotics, Automation and Mechatronics, RAM 2008",

note = "2008 IEEE International Conference on Robotics, Automation and Mechatronics, RAM 2008 ; Conference date: 21-09-2008 Through 24-09-2008",

}

Arogeti, SA, Wang, D, Low, CB, Zhang, DH & Zhou, J 2008, Mode tracking of hybrid systems in FDI framework. in 2008 IEEE International Conference on Robotics, Automation and Mechatronics, RAM 2008., 4681450, 2008 IEEE International Conference on Robotics, Automation and Mechatronics, RAM 2008, pp. 841-846, 2008 IEEE International Conference on Robotics, Automation and Mechatronics, RAM 2008, Chengdu, China, 21/09/08. https://doi.org/10.1109/RAMECH.2008.4681450

Mode tracking of hybrid systems in FDI framework. / Arogeti, Shai A.; Wang, Danwei; Low, Chang Boon et al.
2008 IEEE International Conference on Robotics, Automation and Mechatronics, RAM 2008. 2008. p. 841-846 4681450 (2008 IEEE International Conference on Robotics, Automation and Mechatronics, RAM 2008).

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

TY - GEN

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AU - Arogeti, Shai A.

AU - Wang, Danwei

AU - Low, Chang Boon

AU - Zhang, Dan Hong

AU - Zhou, Junhong

PY - 2008/12/31

Y1 - 2008/12/31

N2 - A hybrid system combines continuous and discrete dynamics and runs with a set of modes. In [3],[4], we proposed an efficient health monitoring method for hybrid systems. This method utilizes unified constraint relations, named the Global Analytical Redundancy Relations (GARRs). Using GARRs for hybrid system health monitoring requires knowledge of the system's mode which is provided by a mode tracker. GARRs represent global information (i.e. information relevant to all modes), and the hybrid system properties can be analyzed across system's modes. In this paper, we utilize this unique feature to develop a GARRs based mode tracking approach. The most significant contribution of this development is the Mode-Change Signature Matrix, its derivation from the GARRs and its use for mode tracking.

AB - A hybrid system combines continuous and discrete dynamics and runs with a set of modes. In [3],[4], we proposed an efficient health monitoring method for hybrid systems. This method utilizes unified constraint relations, named the Global Analytical Redundancy Relations (GARRs). Using GARRs for hybrid system health monitoring requires knowledge of the system's mode which is provided by a mode tracker. GARRs represent global information (i.e. information relevant to all modes), and the hybrid system properties can be analyzed across system's modes. In this paper, we utilize this unique feature to develop a GARRs based mode tracking approach. The most significant contribution of this development is the Mode-Change Signature Matrix, its derivation from the GARRs and its use for mode tracking.

KW - Fault detection and isolation

KW - Hybrid systems

KW - Mode tracking

KW - Mode-change signature

KW - Model based

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DO - 10.1109/RAMECH.2008.4681450

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BT - 2008 IEEE International Conference on Robotics, Automation and Mechatronics, RAM 2008

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Y2 - 21 September 2008 through 24 September 2008

ER -

Mode tracking of hybrid systems in FDI framework

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