Event-Triggered Stabilization of a Linear System With Model Uncertainty and i.i.d. Feedback Dropouts
This article investigates the input-to-state stability (ISS) of continuous-time networked control systems with model uncertainty and bounded noise based on event triggering. The feedback loop is closed over an unreliable digital communication network. Feedback packets suffer from network delay and m...
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| Veröffentlicht in: | IEEE transactions on cybernetics 2022-02, Vol.52 (2), p.796-809 |
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| creator | Jiang, Xianghua Ling, Qiang |
| description | This article investigates the input-to-state stability (ISS) of continuous-time networked control systems with model uncertainty and bounded noise based on event triggering. The feedback loop is closed over an unreliable digital communication network. Feedback packets suffer from network delay and may be dropped in an independent and identically distributed (i.i.d.) way, which may harm to the concerned stability. This article focuses on a Lyapunov-based event-triggered control design scheme with the consideration of i.i.d. packet dropouts. By designing a state-dependent event-triggering threshold and updating methods, it can still ensure ISS for the concerned multidimensional system in the presence of i.i.d. packet dropouts and model uncertainty without exhibiting the Zeno behavior. Simulations are done to verify the effectiveness of the achieved results. |
| doi_str_mv | 10.1109/TCYB.2020.2981121 |
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Simulations are done to verify the effectiveness of the achieved results.</description><subject>Control stability</subject><subject>Control theory</subject><subject>Delays</subject><subject>Dropouts</subject><subject>Event triggering</subject><subject>feedback dropouts</subject><subject>Feedback loops</subject><subject>Linear systems</subject><subject>model uncertainty</subject><subject>Multidimensional methods</subject><subject>Multidimensional systems</subject><subject>Network control</subject><subject>network delay</subject><subject>Networked control systems</subject><subject>networked control systems (NCSs)</subject><subject>Noise (mathematics)</subject><subject>Packets (communication)</subject><subject>Quantization (signal)</subject><subject>Stability analysis</subject><subject>Uncertainty</subject><issn>2168-2267</issn><issn>2168-2275</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNpdkU1rGzEQhkVJqYOTH1AKQZBLL7vRx65We0xcOym45BCH0pOQpdlE7nrlSNqC--uzi10fqos0muedGeZF6DMlOaWkvlnNft3ljDCSs1pSyugHdM6okBljVXl2eotqgi5j3JDhyOGrlp_QhI-M4PIc2fkf6FK2Cu7lBQJY_JT02rXur07Od9g3WOOl60AH_LSPCbb4p0uv-Ie30OLnzkBI2nVpj3VnsctdbnO8ALBrbX7jb8HvfJ_iBfrY6DbC5fGeoufFfDV7yJaP999nt8vM8KJOmbHUclk0RFSEN2VZATflEBvBaiJKApZpVjRVoaltJBemMGshhGxYTSUxgk_R10PdXfBvPcSkti4aaFvdge-jYlxKycq6GNHr_9CN70M3TKfY0I6yUnIyUPRAmeBjDNCoXXBbHfaKEjW6oEYX1OiCOrowaK6Olfv1FuxJ8W_nA_DlADgAOKVrUopCSv4OhYaJTQ</recordid><startdate>20220201</startdate><enddate>20220201</enddate><creator>Jiang, Xianghua</creator><creator>Ling, Qiang</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. 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Feedback Dropouts</title><author>Jiang, Xianghua ; Ling, Qiang</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c349t-cd1d384f06703f557e3c584fc6290650ed2a24f74a1df836c4cb6668f29180c63</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Control stability</topic><topic>Control theory</topic><topic>Delays</topic><topic>Dropouts</topic><topic>Event triggering</topic><topic>feedback dropouts</topic><topic>Feedback loops</topic><topic>Linear systems</topic><topic>model uncertainty</topic><topic>Multidimensional methods</topic><topic>Multidimensional systems</topic><topic>Network control</topic><topic>network delay</topic><topic>Networked control systems</topic><topic>networked control systems (NCSs)</topic><topic>Noise (mathematics)</topic><topic>Packets (communication)</topic><topic>Quantization (signal)</topic><topic>Stability analysis</topic><topic>Uncertainty</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Jiang, Xianghua</creatorcontrib><creatorcontrib>Ling, Qiang</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>PubMed</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>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><collection>Aerospace 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><collection>MEDLINE - Academic</collection><jtitle>IEEE transactions on cybernetics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Jiang, Xianghua</au><au>Ling, Qiang</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Event-Triggered Stabilization of a Linear System With Model Uncertainty and i.i.d. Feedback Dropouts</atitle><jtitle>IEEE transactions on cybernetics</jtitle><stitle>TCYB</stitle><addtitle>IEEE Trans Cybern</addtitle><date>2022-02-01</date><risdate>2022</risdate><volume>52</volume><issue>2</issue><spage>796</spage><epage>809</epage><pages>796-809</pages><issn>2168-2267</issn><eissn>2168-2275</eissn><coden>ITCEB8</coden><abstract>This article investigates the input-to-state stability (ISS) of continuous-time networked control systems with model uncertainty and bounded noise based on event triggering. The feedback loop is closed over an unreliable digital communication network. Feedback packets suffer from network delay and may be dropped in an independent and identically distributed (i.i.d.) way, which may harm to the concerned stability. This article focuses on a Lyapunov-based event-triggered control design scheme with the consideration of i.i.d. packet dropouts. 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| source | IEEE Electronic Library (IEL) |
| subjects | Control stability Control theory Delays Dropouts Event triggering feedback dropouts Feedback loops Linear systems model uncertainty Multidimensional methods Multidimensional systems Network control network delay Networked control systems networked control systems (NCSs) Noise (mathematics) Packets (communication) Quantization (signal) Stability analysis Uncertainty |
| title | Event-Triggered Stabilization of a Linear System With Model Uncertainty and i.i.d. Feedback Dropouts |
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