Interval observer-based fault detectability analysis using mixed set-invariance theory and sensitivity analysis approach

This is an Accepted Manuscript of an article published by Taylor & Francis in “International Journal of Systems Science” on 06th January 2019, available online: https://www.tandfonline.com/doi/abs/10.1080/00207721.2018.1563221?journalCode=tsys20This paper addresses the characterization of the minimum detectable fault (MDF) by means of residual sensitivity integrated with the set-invariance theory when using an interval observer-based approach as a Fault Detection (FD) scheme. Uncertainties (disturbances and noise) are considered as of unknown but bounded nature (i.e., in the set-membership framework). A zonotopic-set representation towards reducing set operations to simple matrix calculations is utilized to bound the state/output estimations provided by the interval observer-based approach. In order to show the connection between sensitivity and set-invariance analyses, mathematical expressions of the MDF are derived when considering dierent types of faults. Finally, a simulation case study based on a quadruple-tank system is employed to both illustrate and discuss the effectiveness of the proposed approach. Interval observer-based FD scheme is used to test the MDF obtained from the integration of both residual sensitivity analysis and set-invariance theory in the considered case study.Peer ReviewedPostprint (author's final draft

Set-based replay attack detection in closed-loop systems using a plug & play watermarking approach

© 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.This paper presents a watermarking signal injection method that compensates its effect in the loop, avoiding thus the signal reinjection. Similar to a virtual actuator scheme, the proposed methodology masks the presence of the authentication signal to the system controller, that do not need to be retuned as it remains immunized. Furthermore, a set-based analysis concerning the effect that the performance loss imposed by a watermarking signal has in the detectability of a replay attack is performed for the stationary, assuming that a standard state observer is used in order to monitor the plant. Finally, a numerical application example is used to illustrate the proposed approach.This work has been partially funded by the Spanish State ResearchAgency (AEI) and the European Regional Development Fund (ERFD)through the projects SCAV (ref. MINECO DPI2017-88403-R) and DEOCS(ref. MINECO DPI2016-76493) and AGAUR ACCIO RIS3CAT UTILITIES4.0 – P7 SECUTIL. This work has been also supported by the AEI throughthe Maria de Maeztu Seal of Excellence to IRI (MDM-2016-0656).Peer ReviewedPostprint (author's final draft

Interval observer-based fault detectability analysis using mixed set-invariance theory and sensitivity analysis approach

This paper addresses the characterisation of the minimum detectable fault (MDF) by means of residual sensitivity integrated with the set-invariance theory when using an interval observer-based approach as a fault detection (FD) scheme. Uncertainties (disturbances and noise) are considered as of unknown but bounded nature (i.e. in the set-membership framework). A zonotopic-set representation towards reducing set operations to simple matrix calculations is utilised to bound the state/output estimations provided by the interval observer-based approach. In order to show the connection between sensitivity and set-invariance analyses, mathematical expressions of the MDF are derived when considering different types of faults. Finally, a simulation case study based on a quadruple-tank system is employed to both illustrate and discuss the effectiveness of the proposed approach. The interval observer-based FD scheme is used to test the MDF obtained from the integration of both residual sensitivity analysis and set-invariance theory in the considered case study.This work has been partially funded by the Spanish Government (MINECO) through the project DEOCS (ref. DPI2016-76493-C3-3-R), by MINECO and FEDER through the project HARCRICS (ref. DPI2014-58104-R) and by Ag`encia de Gesti´o d’Ajuts Universitaris i de Recerca

Interval observer-based fault detectability analysis using mixed set-invariance theory and sensitivity analysis approach

This is an Accepted Manuscript of an article published by Taylor & Francis in “International Journal of Systems Science” on 06th January 2019, available online: https://www.tandfonline.com/doi/abs/10.1080/00207721.2018.1563221?journalCode=tsys20This paper addresses the characterization of the minimum detectable fault (MDF) by means of residual sensitivity integrated with the set-invariance theory when using an interval observer-based approach as a Fault Detection (FD) scheme. Uncertainties (disturbances and noise) are considered as of unknown but bounded nature (i.e., in the set-membership framework). A zonotopic-set representation towards reducing set operations to simple matrix calculations is utilized to bound the state/output estimations provided by the interval observer-based approach. In order to show the connection between sensitivity and set-invariance analyses, mathematical expressions of the MDF are derived when considering dierent types of faults. Finally, a simulation case study based on a quadruple-tank system is employed to both illustrate and discuss the effectiveness of the proposed approach. Interval observer-based FD scheme is used to test the MDF obtained from the integration of both residual sensitivity analysis and set-invariance theory in the considered case study.Peer Reviewe

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Postprint (author's final draft