Decentralized Adaptive Fuzzy Secure Control for Nonlinear Uncertain Interconnected Systems Against Intermittent DoS Attacks
Cyber-physical systems (CPSs) are naturally highly interconnected and complexly nonlinear. This paper investigates the problem of decentralized adaptive output feedback control for CPSs subject to intermittent denial-of-service (DoS) attacks. The considered CPSs are modeled as a class of nonlinear u...
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| Published in | IEEE transactions on cybernetics Vol. 49; no. 3; pp. 827 - 838 |
|---|---|
| Main Authors | , |
| Format | Journal Article |
| Language | English |
| Published |
United States
IEEE
01.03.2019
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subjects | |
| Online Access | Get full text |
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| Abstract | Cyber-physical systems (CPSs) are naturally highly interconnected and complexly nonlinear. This paper investigates the problem of decentralized adaptive output feedback control for CPSs subject to intermittent denial-of-service (DoS) attacks. The considered CPSs are modeled as a class of nonlinear uncertain strict-feedback interconnected systems. When a DoS attack is active, all the state variables become unavailable and standard backstepping cannot be applied. To overcome this difficulty, a switching-type adaptive state estimator is constructed. Based on an improved average dwell time method incorporated by frequency and duration properties of DoS attacks, convex design conditions of controller parameters are derived in term of solving a set of linear matrix inequalities. The proposed controller guarantees that all closed-loop signals remain bounded, while the error signals converge to a small neighborhood of the origin. As an illustrative example, the proposed control scheme is applied to a power network system. |
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| AbstractList | Cyber-physical systems (CPSs) are naturally highly interconnected and complexly nonlinear. This paper investigates the problem of decentralized adaptive output feedback control for CPSs subject to intermittent denial-of-service (DoS) attacks. The considered CPSs are modeled as a class of nonlinear uncertain strict-feedback interconnected systems. When a DoS attack is active, all the state variables become unavailable and standard backstepping cannot be applied. To overcome this difficulty, a switching-type adaptive state estimator is constructed. Based on an improved average dwell time method incorporated by frequency and duration properties of DoS attacks, convex design conditions of controller parameters are derived in term of solving a set of linear matrix inequalities. The proposed controller guarantees that all closed-loop signals remain bounded, while the error signals converge to a small neighborhood of the origin. As an illustrative example, the proposed control scheme is applied to a power network system. Cyber-physical systems (CPSs) are naturally highly interconnected and complexly nonlinear. This paper investigates the problem of decentralized adaptive output feedback control for CPSs subject to intermittent denial-of-service (DoS) attacks. The considered CPSs are modeled as a class of nonlinear uncertain strict-feedback interconnected systems. When a DoS attack is active, all the state variables become unavailable and standard backstepping cannot be applied. To overcome this difficulty, a switching-type adaptive state estimator is constructed. Based on an improved average dwell time method incorporated by frequency and duration properties of DoS attacks, convex design conditions of controller parameters are derived in term of solving a set of linear matrix inequalities. The proposed controller guarantees that all closed-loop signals remain bounded, while the error signals converge to a small neighborhood of the origin. As an illustrative example, the proposed control scheme is applied to a power network system.Cyber-physical systems (CPSs) are naturally highly interconnected and complexly nonlinear. This paper investigates the problem of decentralized adaptive output feedback control for CPSs subject to intermittent denial-of-service (DoS) attacks. The considered CPSs are modeled as a class of nonlinear uncertain strict-feedback interconnected systems. When a DoS attack is active, all the state variables become unavailable and standard backstepping cannot be applied. To overcome this difficulty, a switching-type adaptive state estimator is constructed. Based on an improved average dwell time method incorporated by frequency and duration properties of DoS attacks, convex design conditions of controller parameters are derived in term of solving a set of linear matrix inequalities. The proposed controller guarantees that all closed-loop signals remain bounded, while the error signals converge to a small neighborhood of the origin. As an illustrative example, the proposed control scheme is applied to a power network system. |
| Author | An, Liwei Yang, Guang-Hong |
| Author_xml | – sequence: 1 givenname: Liwei orcidid: 0000-0002-9184-9848 surname: An fullname: An, Liwei email: liwei.an@foxmail.com organization: College of Information Science and Engineering, Northeastern University, Shenyang, China – sequence: 2 givenname: Guang-Hong orcidid: 0000-0002-8911-0112 surname: Yang fullname: Yang, Guang-Hong email: yangguanghong@ise.neu.edu.cn organization: College of Information Science and Engineering, Northeastern University, Shenyang, China |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/29994502$$D View this record in MEDLINE/PubMed |
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| CODEN | ITCEB8 |
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| Cites_doi | 10.1109/TCNS.2014.2367362 10.1016/j.automatica.2014.10.067 10.1109/TSMCB.2009.2016110 10.1109/TAC.2013.2266831 10.1109/TSMC.2015.2426131 10.1109/TMC.2009.33 10.1109/TAC.2002.804464 10.1109/TSMCB.2012.2196432 10.1007/s12555-016-0331-0 10.1109/TCST.2015.2462741 10.1109/TAC.2014.2363897 10.1109/TAC.2017.2751999 10.1109/TCST.2013.2280899 10.1109/TNNLS.2016.2616906 10.1109/TCNS.2016.2573039 10.1109/TAC.2007.910715 10.1007/978-1-4612-0017-8 10.1109/TCYB.2016.2582802 10.1109/TCNS.2016.2613445 10.1109/TCYB.2014.2316003 10.1109/TCNS.2016.2570003 10.1109/TFUZZ.2017.2686378 10.1016/j.sysconle.2016.07.007 10.1109/TNNLS.2013.2249668 10.1109/TCYB.2015.2456028 10.1109/TFUZZ.2014.2382132 10.1109/TAC.2015.2409905 10.1109/TAC.2015.2416924 10.1080/00207720116692 10.1109/ICCCN.2011.6006020 10.1080/00207721.2011.572197 10.1109/TFUZZ.2013.2241770 10.1109/CDC.2014.7040210 10.1109/CDC.2011.6161031 10.1016/j.ins.2014.08.060 10.1016/j.fss.2015.10.006 10.1109/CDC.2010.5717544 10.1109/TAC.2002.800773 |
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| References | ref35 ref13 ref34 ref12 ref37 ref15 ref36 ref14 ref31 ref30 ref33 ref11 ref32 ref10 ref2 ref1 ref39 ref17 ref16 ref19 chang (ref26) 2013; 15 ref18 yoo (ref22) 2009; 39 an (ref9) 0 ref24 ref23 liberzon (ref27) 2003 ref25 ref20 ref41 ref21 ref28 mo (ref4) 2014; 22 ref29 ref8 ref7 gahinet (ref38) 1995 ref3 ref6 ref5 ref40 |
| References_xml | – volume: 15 start-page: 203 year: 2013 ident: ref26 article-title: Robust fuzzy congestion control of TCP/AQM router via perturbed Takagi-Sugeno fuzzy models publication-title: Int J Fuzzy Syst – ident: ref1 doi: 10.1109/TCNS.2014.2367362 – ident: ref10 doi: 10.1016/j.automatica.2014.10.067 – volume: 39 start-page: 1316 year: 2009 ident: ref22 article-title: Neural-network-based decentralized adaptive control for a class of large-scale nonlinear systems with unknown time-varying delays publication-title: IEEE Trans Syst Man Cybern B Cybern doi: 10.1109/TSMCB.2009.2016110 – ident: ref6 doi: 10.1109/TAC.2013.2266831 – ident: ref36 doi: 10.1109/TSMC.2015.2426131 – ident: ref30 doi: 10.1109/TMC.2009.33 – ident: ref34 doi: 10.1109/TAC.2002.804464 – ident: ref23 doi: 10.1109/TSMCB.2012.2196432 – ident: ref35 doi: 10.1007/s12555-016-0331-0 – ident: ref17 doi: 10.1109/TCST.2015.2462741 – ident: ref3 doi: 10.1109/TAC.2014.2363897 – ident: ref8 doi: 10.1109/TAC.2017.2751999 – volume: 22 start-page: 1396 year: 2014 ident: ref4 article-title: Detecting integrity attacks on SCADA systems publication-title: IEEE Trans Control Syst Technol doi: 10.1109/TCST.2013.2280899 – ident: ref21 doi: 10.1109/TNNLS.2016.2616906 – ident: ref5 doi: 10.1109/TCNS.2016.2573039 – ident: ref39 doi: 10.1109/TAC.2007.910715 – year: 1995 ident: ref38 publication-title: LMI Control Toolbox Users Guide – year: 2003 ident: ref27 publication-title: Switching in Systems and Control doi: 10.1007/978-1-4612-0017-8 – ident: ref31 doi: 10.1109/TCYB.2016.2582802 – ident: ref12 doi: 10.1109/TCNS.2016.2613445 – ident: ref7 doi: 10.1109/TCYB.2014.2316003 – ident: ref2 doi: 10.1109/TCNS.2016.2570003 – ident: ref18 doi: 10.1109/TFUZZ.2017.2686378 – ident: ref14 doi: 10.1016/j.sysconle.2016.07.007 – ident: ref40 doi: 10.1109/TNNLS.2013.2249668 – ident: ref24 doi: 10.1109/TCYB.2015.2456028 – ident: ref37 doi: 10.1109/TFUZZ.2014.2382132 – ident: ref16 doi: 10.1109/TAC.2015.2409905 – ident: ref11 doi: 10.1109/TAC.2015.2416924 – ident: ref33 doi: 10.1080/00207720116692 – ident: ref29 doi: 10.1109/ICCCN.2011.6006020 – ident: ref25 doi: 10.1080/00207721.2011.572197 – ident: ref20 doi: 10.1109/TFUZZ.2013.2241770 – ident: ref13 doi: 10.1109/CDC.2014.7040210 – ident: ref28 doi: 10.1109/CDC.2011.6161031 – ident: ref41 doi: 10.1016/j.ins.2014.08.060 – ident: ref19 doi: 10.1016/j.fss.2015.10.006 – ident: ref15 doi: 10.1109/CDC.2010.5717544 – year: 0 ident: ref9 article-title: Data-driven coordinated attack policy design based on adaptive $L_{2}$ -gain optimal theory publication-title: IEEE Trans Autom Control – ident: ref32 doi: 10.1109/TAC.2002.800773 |
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| Snippet | Cyber-physical systems (CPSs) are naturally highly interconnected and complexly nonlinear. This paper investigates the problem of decentralized adaptive output... |
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| SubjectTerms | Adaptation models Adaptive control Adaptive systems Backstepping Control systems design Cyber-physical systems cyber-physical systems (CPSs) Cybersecurity denial-of-service (DoS) Design parameters Dwell time Error signals Feedback control Fuzzy control Fuzzy logic Fuzzy systems Interconnected systems Linear matrix inequalities Matrix methods Nonlinear control Nonlinear systems Output feedback State variable |
| Title | Decentralized Adaptive Fuzzy Secure Control for Nonlinear Uncertain Interconnected Systems Against Intermittent DoS Attacks |
| URI | https://ieeexplore.ieee.org/document/8255799 https://www.ncbi.nlm.nih.gov/pubmed/29994502 https://www.proquest.com/docview/2184578127 https://www.proquest.com/docview/2068339105 |
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