Adaptive control for nonlinear cyber‐physical systems under false data injection attacks through sensor networks
Summary This paper considers the adaptive control problem for a class of nonlinear cyber‐physical systems with unknown nonlinearities and false data injection attacks, where the sensors are corrupted by attackers. To mitigate the effects caused by the considered attacks, a novel coordinate transform...
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| Veröffentlicht in: | International journal of robust and nonlinear control 2020-01, Vol.30 (1), p.65-79 |
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| container_title | International journal of robust and nonlinear control |
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| creator | Ren, Xiu‐Xiu Yang, Guang‐Hong |
| description | Summary
This paper considers the adaptive control problem for a class of nonlinear cyber‐physical systems with unknown nonlinearities and false data injection attacks, where the sensors are corrupted by attackers. To mitigate the effects caused by the considered attacks, a novel coordinate transformation is developed in the backstepping control design. In addition, to deal with the multiple unknown time‐varying state feedback gains caused by the sensor attacks, the new types of Nussbaum functions are introduced in the adaptive control. By using Lyapunov stability theory, the proposed control scheme can guarantee all the closed‐loop system signals globally bounded. Finally, the examples demonstrate the effectiveness of the proposed method. |
| doi_str_mv | 10.1002/rnc.4749 |
| format | Article |
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This paper considers the adaptive control problem for a class of nonlinear cyber‐physical systems with unknown nonlinearities and false data injection attacks, where the sensors are corrupted by attackers. To mitigate the effects caused by the considered attacks, a novel coordinate transformation is developed in the backstepping control design. In addition, to deal with the multiple unknown time‐varying state feedback gains caused by the sensor attacks, the new types of Nussbaum functions are introduced in the adaptive control. By using Lyapunov stability theory, the proposed control scheme can guarantee all the closed‐loop system signals globally bounded. Finally, the examples demonstrate the effectiveness of the proposed method.</description><identifier>ISSN: 1049-8923</identifier><identifier>EISSN: 1099-1239</identifier><identifier>DOI: 10.1002/rnc.4749</identifier><language>eng</language><publisher>Bognor Regis: Wiley Subscription Services, Inc</publisher><subject>Adaptive control ; Control stability ; Coordinate transformations ; Cyber-physical systems ; false data injection attacks ; globally bounded ; Nonlinear control ; nonlinear cyber‐physical systems ; Nonlinear systems ; State feedback</subject><ispartof>International journal of robust and nonlinear control, 2020-01, Vol.30 (1), p.65-79</ispartof><rights>2019 John Wiley & Sons, Ltd.</rights><rights>2020 John Wiley & Sons, Ltd.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3309-3eaaaa24499bc250efbeb9d7e6267a71cb7ee039fc3092808dfc633ca5afd8f73</citedby><cites>FETCH-LOGICAL-c3309-3eaaaa24499bc250efbeb9d7e6267a71cb7ee039fc3092808dfc633ca5afd8f73</cites><orcidid>0000-0002-8911-0112</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Frnc.4749$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Frnc.4749$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,780,784,1417,27924,27925,45574,45575</link.rule.ids></links><search><creatorcontrib>Ren, Xiu‐Xiu</creatorcontrib><creatorcontrib>Yang, Guang‐Hong</creatorcontrib><title>Adaptive control for nonlinear cyber‐physical systems under false data injection attacks through sensor networks</title><title>International journal of robust and nonlinear control</title><description>Summary
This paper considers the adaptive control problem for a class of nonlinear cyber‐physical systems with unknown nonlinearities and false data injection attacks, where the sensors are corrupted by attackers. To mitigate the effects caused by the considered attacks, a novel coordinate transformation is developed in the backstepping control design. In addition, to deal with the multiple unknown time‐varying state feedback gains caused by the sensor attacks, the new types of Nussbaum functions are introduced in the adaptive control. By using Lyapunov stability theory, the proposed control scheme can guarantee all the closed‐loop system signals globally bounded. Finally, the examples demonstrate the effectiveness of the proposed method.</description><subject>Adaptive control</subject><subject>Control stability</subject><subject>Coordinate transformations</subject><subject>Cyber-physical systems</subject><subject>false data injection attacks</subject><subject>globally bounded</subject><subject>Nonlinear control</subject><subject>nonlinear cyber‐physical systems</subject><subject>Nonlinear systems</subject><subject>State feedback</subject><issn>1049-8923</issn><issn>1099-1239</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><recordid>eNp1kE1OwzAQhS0EEqUgcQRLbNikOHbaxMuq4k-qQEKwthxnTNOmdrAdquw4AmfkJDgtW2YzI8333pMeQpcpmaSE0Btn1CTLM36ERinhPEkp48fDnfGk4JSdojPv14TEH81GyM0r2Yb6E7CyJjjbYG0dNtY0tQHpsOpLcD9f3-2q97WSDfa9D7D1uDMVOKxl4wFXMkhcmzWoUFuDZQhSbTwOK2e79xX2YPxgCmFn3cafo5O97OJvj9Hb3e3r4iFZPt8_LubLRDFGeMJAxqFZxnmp6JSALqHkVQ4zOstlnqoyByCMaxVpWpCi0mrGmJJTqatC52yMrg6-rbMfHfgg1rZzJkYKymjKWB5Vkbo-UMpZ7x1o0bp6K10vUiKGRkVsVAyNRjQ5oLu6gf5fTrw8Lfb8LxOBe9k</recordid><startdate>20200110</startdate><enddate>20200110</enddate><creator>Ren, Xiu‐Xiu</creator><creator>Yang, Guang‐Hong</creator><general>Wiley Subscription Services, Inc</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7SP</scope><scope>7TB</scope><scope>8FD</scope><scope>FR3</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><orcidid>https://orcid.org/0000-0002-8911-0112</orcidid></search><sort><creationdate>20200110</creationdate><title>Adaptive control for nonlinear cyber‐physical systems under false data injection attacks through sensor networks</title><author>Ren, Xiu‐Xiu ; Yang, Guang‐Hong</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3309-3eaaaa24499bc250efbeb9d7e6267a71cb7ee039fc3092808dfc633ca5afd8f73</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Adaptive control</topic><topic>Control stability</topic><topic>Coordinate transformations</topic><topic>Cyber-physical systems</topic><topic>false data injection attacks</topic><topic>globally bounded</topic><topic>Nonlinear control</topic><topic>nonlinear cyber‐physical systems</topic><topic>Nonlinear systems</topic><topic>State feedback</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ren, Xiu‐Xiu</creatorcontrib><creatorcontrib>Yang, Guang‐Hong</creatorcontrib><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><jtitle>International journal of robust and nonlinear control</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ren, Xiu‐Xiu</au><au>Yang, Guang‐Hong</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Adaptive control for nonlinear cyber‐physical systems under false data injection attacks through sensor networks</atitle><jtitle>International journal of robust and nonlinear control</jtitle><date>2020-01-10</date><risdate>2020</risdate><volume>30</volume><issue>1</issue><spage>65</spage><epage>79</epage><pages>65-79</pages><issn>1049-8923</issn><eissn>1099-1239</eissn><abstract>Summary
This paper considers the adaptive control problem for a class of nonlinear cyber‐physical systems with unknown nonlinearities and false data injection attacks, where the sensors are corrupted by attackers. To mitigate the effects caused by the considered attacks, a novel coordinate transformation is developed in the backstepping control design. In addition, to deal with the multiple unknown time‐varying state feedback gains caused by the sensor attacks, the new types of Nussbaum functions are introduced in the adaptive control. By using Lyapunov stability theory, the proposed control scheme can guarantee all the closed‐loop system signals globally bounded. Finally, the examples demonstrate the effectiveness of the proposed method.</abstract><cop>Bognor Regis</cop><pub>Wiley Subscription Services, Inc</pub><doi>10.1002/rnc.4749</doi><tpages>16</tpages><orcidid>https://orcid.org/0000-0002-8911-0112</orcidid></addata></record> |
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| issn | 1049-8923 1099-1239 |
| language | eng |
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| source | Wiley Online Library - AutoHoldings Journals |
| subjects | Adaptive control Control stability Coordinate transformations Cyber-physical systems false data injection attacks globally bounded Nonlinear control nonlinear cyber‐physical systems Nonlinear systems State feedback |
| title | Adaptive control for nonlinear cyber‐physical systems under false data injection attacks through sensor networks |
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