Composite fault reconstruction and fault-tolerant control design for cyber-physical systems : An interval type-2 fuzzy approach
Copyright © 2023 ISA. Published by Elsevier Ltd. All rights reserved..
This article scrutinizes the stabilization and fault reconstruction issues for interval type-2 fuzzy-based cyber-physical systems with actuator faults, deception attacks and external disturbances. The primary objective of this research is to formulate the learning observer system with the interval type-2 fuzzy technique that reconstructs the actuator faults as well as the immeasurable states of the addressed fuzzy based model. Further, the information of reconstructed actuator faults is incorporated in the developed controller with the imperfect premise variables for ensuring the stabilization of the system under consideration. At the same time, the H∞ technique is employed to reduce the impact of external disturbances in the considered model. In addition to that, the deception attacks are represented as a stochastic variable that satisfies the Bernoulli distributions. On the ground of this, a set of sufficient criteria is deduced in the context of linear matrix inequalities to affirm the stability of the addressed systems. Furthermore, the requisite gain matrices are computed by resolving the obtained linear matrix inequality based stability criteria. At last, two simulation examples, including the mass-spring-damper system are exhibited to demonstrate the usefulness of analytical findings of the developed strategy.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2023 |
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| Erschienen: |
2023 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:143 |
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| Enthalten in: |
ISA transactions - 143(2023) vom: 04. Dez., Seite 38-49 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Sakthivel, R [VerfasserIn] |
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| Links: |
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| Themen: |
Cyber-physical systems |
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| Anmerkungen: |
Date Revised 13.12.2023 published: Print-Electronic Citation Status PubMed-not-MEDLINE |
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| doi: |
10.1016/j.isatra.2023.10.002 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
NLM363408959 |
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| 245 | 1 | 0 | |a Composite fault reconstruction and fault-tolerant control design for cyber-physical systems |b An interval type-2 fuzzy approach |
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| 500 | |a published: Print-Electronic | ||
| 500 | |a Citation Status PubMed-not-MEDLINE | ||
| 520 | |a Copyright © 2023 ISA. Published by Elsevier Ltd. All rights reserved. | ||
| 520 | |a This article scrutinizes the stabilization and fault reconstruction issues for interval type-2 fuzzy-based cyber-physical systems with actuator faults, deception attacks and external disturbances. The primary objective of this research is to formulate the learning observer system with the interval type-2 fuzzy technique that reconstructs the actuator faults as well as the immeasurable states of the addressed fuzzy based model. Further, the information of reconstructed actuator faults is incorporated in the developed controller with the imperfect premise variables for ensuring the stabilization of the system under consideration. At the same time, the H∞ technique is employed to reduce the impact of external disturbances in the considered model. In addition to that, the deception attacks are represented as a stochastic variable that satisfies the Bernoulli distributions. On the ground of this, a set of sufficient criteria is deduced in the context of linear matrix inequalities to affirm the stability of the addressed systems. Furthermore, the requisite gain matrices are computed by resolving the obtained linear matrix inequality based stability criteria. At last, two simulation examples, including the mass-spring-damper system are exhibited to demonstrate the usefulness of analytical findings of the developed strategy | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a Cyber-physical systems | |
| 650 | 4 | |a Deception attacks | |
| 650 | 4 | |a External disturbances | |
| 650 | 4 | |a Fault reconstruction | |
| 650 | 4 | |a Fault-tolerant control | |
| 650 | 4 | |a H(∞) performance | |
| 650 | 4 | |a Interval type-2 fuzzy model approach | |
| 650 | 4 | |a Learning observer | |
| 700 | 1 | |a Anusuya, S |e verfasserin |4 aut | |
| 700 | 1 | |a Kwon, O M |e verfasserin |4 aut | |
| 700 | 1 | |a Mohanapriya, S |e verfasserin |4 aut | |
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