Finite-Time Distributed Resilient Tracking Control for Nonlinear MASs With Application to Power Systems
In this article, we study the finite-time distributed resilient tracking control problem for nonlinear multiagent systems under denial-of-service (DoS) attacks. To solve the problem, a new hierarchical control method is proposed, which includes a resilient distributed observation layer, a local perf...
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| Veröffentlicht in: | IEEE transactions on automatic control 2024-05, Vol.69 (5), p.3128-3143 |
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| creator | Yue, Dong Deng, Chao Wen, Changyun Wang, Wei |
| description | In this article, we study the finite-time distributed resilient tracking control problem for nonlinear multiagent systems under denial-of-service (DoS) attacks. To solve the problem, a new hierarchical control method is proposed, which includes a resilient distributed observation layer, a local performance improvement layer, and a decentralized tracking layer. Specifically, a novel model transformation method is first introduced in the resilient distributed observation layer to transform the reference system into a quasi-block diagonal controllable canonical form. Based on this form, a new finite-time distributed resilient observer is designed by introducing a switching mechanism to the observer inputs. Driven by this resilient observer state, a new local reference signal generator is designed for each agent in the local performance improvement layer. The designed local reference signal satisfies that 1) it can track the reference signal after a finite-time; and 2) its high-order derivatives exist. Then, a decentralized finite-time controller is designed by using the backstepping technique in the decentralized tracking layer. It is shown that the outputs of all agents converge to the reference signal after a finite time. Finally, the effectiveness of our developed method is shown by applying the finite-time distributed resilient method to power systems. |
| doi_str_mv | 10.1109/TAC.2023.3332777 |
| format | Article |
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To solve the problem, a new hierarchical control method is proposed, which includes a resilient distributed observation layer, a local performance improvement layer, and a decentralized tracking layer. Specifically, a novel model transformation method is first introduced in the resilient distributed observation layer to transform the reference system into a quasi-block diagonal controllable canonical form. Based on this form, a new finite-time distributed resilient observer is designed by introducing a switching mechanism to the observer inputs. Driven by this resilient observer state, a new local reference signal generator is designed for each agent in the local performance improvement layer. The designed local reference signal satisfies that 1) it can track the reference signal after a finite-time; and 2) its high-order derivatives exist. Then, a decentralized finite-time controller is designed by using the backstepping technique in the decentralized tracking layer. It is shown that the outputs of all agents converge to the reference signal after a finite time. 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To solve the problem, a new hierarchical control method is proposed, which includes a resilient distributed observation layer, a local performance improvement layer, and a decentralized tracking layer. Specifically, a novel model transformation method is first introduced in the resilient distributed observation layer to transform the reference system into a quasi-block diagonal controllable canonical form. Based on this form, a new finite-time distributed resilient observer is designed by introducing a switching mechanism to the observer inputs. Driven by this resilient observer state, a new local reference signal generator is designed for each agent in the local performance improvement layer. The designed local reference signal satisfies that 1) it can track the reference signal after a finite-time; and 2) its high-order derivatives exist. Then, a decentralized finite-time controller is designed by using the backstepping technique in the decentralized tracking layer. It is shown that the outputs of all agents converge to the reference signal after a finite time. Finally, the effectiveness of our developed method is shown by applying the finite-time distributed resilient method to power systems.</description><subject>Backstepping</subject><subject>Canonical forms</subject><subject>Control methods</subject><subject>Control systems design</subject><subject>Controllability</subject><subject>Convergence</subject><subject>Cyberattack</subject><subject>Decentralized control</subject><subject>Denial of service attacks</subject><subject>denial-of-service (DoS) attacks</subject><subject>Distributed resilient tracking</subject><subject>finite-time control</subject><subject>Multi-agent systems</subject><subject>Multiagent systems</subject><subject>Nonlinear control</subject><subject>nonlinear multiagent systems</subject><subject>Nonlinear systems</subject><subject>Observers</subject><subject>Reference signals</subject><subject>Reference systems</subject><subject>Signal generators</subject><subject>Switches</subject><subject>Tracking control</subject><issn>0018-9286</issn><issn>1558-2523</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNpNkM9LwzAYhoMoOKd3Dx4CnjuTL22THEt1KswfuIrH0HbJzOyamWTI_ns75sHTxwvv837wIHRJyYRSIm-qopwAATZhjAHn_AiNaJaJBDJgx2hECBWJBJGforMQVkPM05SO0HJqext1Utm1xrc2RG-bbdQL_KaD7azuI6583X7ZfolL10fvOmycx8-u72yva4-finnAHzZ-4mKz6WxbR-t6HB1-dT_a4_kuRL0O5-jE1F3QF393jN6nd1X5kMxe7h_LYpa0ICEmMm8ho7VpNDFSkEZQ0hrgknPdMFFDzRugLQBbtPmCwpANZxJMygUIwQQbo-vD7sa7760OUa3c1vfDS8VImktKsoEeI3Jotd6F4LVRG2_Xtd8pStRepxp0qr1O9adzQK4OiNVa_6szmucU2C_C6HCh</recordid><startdate>20240501</startdate><enddate>20240501</enddate><creator>Yue, Dong</creator><creator>Deng, Chao</creator><creator>Wen, Changyun</creator><creator>Wang, Wei</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><scope>97E</scope><scope>RIA</scope><scope>RIE</scope><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/0000-0001-9530-360X</orcidid><orcidid>https://orcid.org/0000-0002-6148-1034</orcidid><orcidid>https://orcid.org/0000-0001-9596-2752</orcidid><orcidid>https://orcid.org/0000-0001-7810-9338</orcidid></search><sort><creationdate>20240501</creationdate><title>Finite-Time Distributed Resilient Tracking Control for Nonlinear MASs With Application to Power Systems</title><author>Yue, Dong ; Deng, Chao ; Wen, Changyun ; Wang, Wei</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c292t-96c251afbe0f980b810cf27977eb38a2a7b21c223dc6d122a7f7392f478288383</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Backstepping</topic><topic>Canonical forms</topic><topic>Control methods</topic><topic>Control systems design</topic><topic>Controllability</topic><topic>Convergence</topic><topic>Cyberattack</topic><topic>Decentralized control</topic><topic>Denial of service attacks</topic><topic>denial-of-service (DoS) attacks</topic><topic>Distributed resilient tracking</topic><topic>finite-time control</topic><topic>Multi-agent systems</topic><topic>Multiagent systems</topic><topic>Nonlinear control</topic><topic>nonlinear multiagent systems</topic><topic>Nonlinear systems</topic><topic>Observers</topic><topic>Reference signals</topic><topic>Reference systems</topic><topic>Signal generators</topic><topic>Switches</topic><topic>Tracking control</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Yue, Dong</creatorcontrib><creatorcontrib>Deng, Chao</creatorcontrib><creatorcontrib>Wen, Changyun</creatorcontrib><creatorcontrib>Wang, Wei</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</collection><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>IEEE transactions on automatic control</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Yue, Dong</au><au>Deng, Chao</au><au>Wen, Changyun</au><au>Wang, Wei</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Finite-Time Distributed Resilient Tracking Control for Nonlinear MASs With Application to Power Systems</atitle><jtitle>IEEE transactions on automatic control</jtitle><stitle>TAC</stitle><date>2024-05-01</date><risdate>2024</risdate><volume>69</volume><issue>5</issue><spage>3128</spage><epage>3143</epage><pages>3128-3143</pages><issn>0018-9286</issn><eissn>1558-2523</eissn><coden>IETAA9</coden><abstract>In this article, we study the finite-time distributed resilient tracking control problem for nonlinear multiagent systems under denial-of-service (DoS) attacks. To solve the problem, a new hierarchical control method is proposed, which includes a resilient distributed observation layer, a local performance improvement layer, and a decentralized tracking layer. Specifically, a novel model transformation method is first introduced in the resilient distributed observation layer to transform the reference system into a quasi-block diagonal controllable canonical form. Based on this form, a new finite-time distributed resilient observer is designed by introducing a switching mechanism to the observer inputs. Driven by this resilient observer state, a new local reference signal generator is designed for each agent in the local performance improvement layer. The designed local reference signal satisfies that 1) it can track the reference signal after a finite-time; and 2) its high-order derivatives exist. Then, a decentralized finite-time controller is designed by using the backstepping technique in the decentralized tracking layer. It is shown that the outputs of all agents converge to the reference signal after a finite time. Finally, the effectiveness of our developed method is shown by applying the finite-time distributed resilient method to power systems.</abstract><cop>New York</cop><pub>IEEE</pub><doi>10.1109/TAC.2023.3332777</doi><tpages>16</tpages><orcidid>https://orcid.org/0000-0001-9530-360X</orcidid><orcidid>https://orcid.org/0000-0002-6148-1034</orcidid><orcidid>https://orcid.org/0000-0001-9596-2752</orcidid><orcidid>https://orcid.org/0000-0001-7810-9338</orcidid></addata></record> |
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| subjects | Backstepping Canonical forms Control methods Control systems design Controllability Convergence Cyberattack Decentralized control Denial of service attacks denial-of-service (DoS) attacks Distributed resilient tracking finite-time control Multi-agent systems Multiagent systems Nonlinear control nonlinear multiagent systems Nonlinear systems Observers Reference signals Reference systems Signal generators Switches Tracking control |
| title | Finite-Time Distributed Resilient Tracking Control for Nonlinear MASs With Application to Power Systems |
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