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New Consistency Condition for Exponential Stabilization of Smapled-data Nonlinear Systems
Exponential stability of smapled-data nonlinear systems is investigated via the systems' Euler approximations. New consistency condition and its sufficient conditions are presented. Under the consistency condition the exponential stable controllers for Euler approximations also exponentially st...
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creator | Jin Huiyu Yin Baoqun |
description | Exponential stability of smapled-data nonlinear systems is investigated via the systems' Euler approximations. New consistency condition and its sufficient conditions are presented. Under the consistency condition the exponential stable controllers for Euler approximations also exponentially stabilize the exact discrete-time models. These conditions may be verified with the continuous-time models, the control laws and the Euler approximations of the systems so that the sampled-data controllers could be designed based on the Euler approximations of the systems while the exact discrete-time models are unknown. |
doi_str_mv | 10.1109/CHICC.2006.4347518 |
format | conference_proceeding |
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New consistency condition and its sufficient conditions are presented. Under the consistency condition the exponential stable controllers for Euler approximations also exponentially stabilize the exact discrete-time models. 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New consistency condition and its sufficient conditions are presented. Under the consistency condition the exponential stable controllers for Euler approximations also exponentially stabilize the exact discrete-time models. These conditions may be verified with the continuous-time models, the control laws and the Euler approximations of the systems so that the sampled-data controllers could be designed based on the Euler approximations of the systems while the exact discrete-time models are unknown.</description><subject>Adaptive control</subject><subject>Automatic control</subject><subject>Automation</subject><subject>Consistency condition</subject><subject>Control systems</subject><subject>Digital control</subject><subject>Euler approximation</subject><subject>Exponential stability</subject><subject>Nonlinear</subject><subject>Nonlinear control systems</subject><subject>Nonlinear systems</subject><subject>Sampling methods</subject><subject>Smapled-data systems</subject><subject>Stability</subject><subject>Sufficient conditions</subject><issn>1934-1768</issn><isbn>9787811240559</isbn><isbn>7811240556</isbn><isbn>7900719229</isbn><isbn>9787900719225</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2007</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNotkMtOwzAURI0Aibb0B2DjH0jwtZPYXqKo0EpVWQQWrKobPySjxImSSBC-ngJdzUijcxZDyB2wFIDph3K7K8uUM1akmchkDuqCLKVmTILmXF-StZZKKgCesTzXV2QBWmQJyELdkOU4fpxIpkEsyPvBfdKyi2MYJxfN_NttmEIXqe8Guvnqu-jiFLCh1YR1aMI3_q2dp1WLfeNsYnFCeuhiE6LDgVbzSdWOt-TaYzO69TlX5O1p81puk_3L86583CcBZD4lArX0BlA4blHbzJu6tggmE6CN97IwiMzUxnKvikKYHGytVK3BOu6ZQLEi9__e4Jw79kNocZiP51vED2qcV2E</recordid><startdate>200707</startdate><enddate>200707</enddate><creator>Jin Huiyu</creator><creator>Yin Baoqun</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>200707</creationdate><title>New Consistency Condition for Exponential Stabilization of Smapled-data Nonlinear Systems</title><author>Jin Huiyu ; Yin Baoqun</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-3a97fc1a3e2da9d4fcbbda1c4319cff76caa0cbcd2f8663c51db88b91de2f03a3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2007</creationdate><topic>Adaptive control</topic><topic>Automatic control</topic><topic>Automation</topic><topic>Consistency condition</topic><topic>Control systems</topic><topic>Digital control</topic><topic>Euler approximation</topic><topic>Exponential stability</topic><topic>Nonlinear</topic><topic>Nonlinear control systems</topic><topic>Nonlinear systems</topic><topic>Sampling methods</topic><topic>Smapled-data systems</topic><topic>Stability</topic><topic>Sufficient conditions</topic><toplevel>online_resources</toplevel><creatorcontrib>Jin Huiyu</creatorcontrib><creatorcontrib>Yin Baoqun</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Jin Huiyu</au><au>Yin Baoqun</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>New Consistency Condition for Exponential Stabilization of Smapled-data Nonlinear Systems</atitle><btitle>2007 Chinese Control Conference</btitle><stitle>CHICC</stitle><date>2007-07</date><risdate>2007</risdate><spage>84</spage><epage>87</epage><pages>84-87</pages><issn>1934-1768</issn><isbn>9787811240559</isbn><isbn>7811240556</isbn><eisbn>7900719229</eisbn><eisbn>9787900719225</eisbn><abstract>Exponential stability of smapled-data nonlinear systems is investigated via the systems' Euler approximations. New consistency condition and its sufficient conditions are presented. Under the consistency condition the exponential stable controllers for Euler approximations also exponentially stabilize the exact discrete-time models. These conditions may be verified with the continuous-time models, the control laws and the Euler approximations of the systems so that the sampled-data controllers could be designed based on the Euler approximations of the systems while the exact discrete-time models are unknown.</abstract><pub>IEEE</pub><doi>10.1109/CHICC.2006.4347518</doi><tpages>4</tpages></addata></record> |
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identifier | ISSN: 1934-1768 |
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issn | 1934-1768 |
language | eng |
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source | IEEE Xplore All Conference Series |
subjects | Adaptive control Automatic control Automation Consistency condition Control systems Digital control Euler approximation Exponential stability Nonlinear Nonlinear control systems Nonlinear systems Sampling methods Smapled-data systems Stability Sufficient conditions |
title | New Consistency Condition for Exponential Stabilization of Smapled-data Nonlinear Systems |
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