Stability Analysis of Sampled-Data Control Systems With Constant Communication Delays

This paper deals with the problem of stability for aperiodically sampled-data control systems with constant communication delays. Less conservative results are derived by two main techniques. First, a new looped-functional-based Lyapunov function is proposed, which considers the information of inter...

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Veröffentlicht in:IEEE access 2019, Vol.7, p.111-116
Hauptverfasser: Zeng, Hong-Bing, Zhai, Zheng-Liang, Xiao, Hui-Qin, Wang, Wei
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Wang, Wei
description This paper deals with the problem of stability for aperiodically sampled-data control systems with constant communication delays. Less conservative results are derived by two main techniques. First, a new looped-functional-based Lyapunov function is proposed, which considers the information of intervals x({t_{k}}) to x(t) , x(t) to x({t_{k + 1}}) , x(t_{k}-\tau) to x(t-\tau) , and x(t-\tau) to x(t_{k+1}-\tau) . Second, in the derivative of the Lyapunov function, the integral term which has the information of sampling-period plus communication delay is divided into three parts. Then, by employing integral inequality techniques, some improved stability conditions are derived. The numerical examples demonstrate the validity of the proposed methods.
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Less conservative results are derived by two main techniques. First, a new looped-functional-based Lyapunov function is proposed, which considers the information of intervals <inline-formula> <tex-math notation="LaTeX">x({t_{k}}) </tex-math></inline-formula> to <inline-formula> <tex-math notation="LaTeX">x(t) </tex-math></inline-formula>, <inline-formula> <tex-math notation="LaTeX">x(t) </tex-math></inline-formula> to <inline-formula> <tex-math notation="LaTeX">x({t_{k + 1}}) </tex-math></inline-formula>, <inline-formula> <tex-math notation="LaTeX">x(t_{k}-\tau) </tex-math></inline-formula> to <inline-formula> <tex-math notation="LaTeX">x(t-\tau) </tex-math></inline-formula>, and <inline-formula> <tex-math notation="LaTeX">x(t-\tau) </tex-math></inline-formula> to <inline-formula> <tex-math notation="LaTeX">x(t_{k+1}-\tau) </tex-math></inline-formula>. Second, in the derivative of the Lyapunov function, the integral term which has the information of sampling-period plus communication delay is divided into three parts. Then, by employing integral inequality techniques, some improved stability conditions are derived. The numerical examples demonstrate the validity of the proposed methods.]]></description><identifier>ISSN: 2169-3536</identifier><identifier>EISSN: 2169-3536</identifier><identifier>DOI: 10.1109/ACCESS.2018.2885059</identifier><identifier>CODEN: IAECCG</identifier><language>eng</language><publisher>Piscataway: IEEE</publisher><subject>Communication ; communication delay ; Control stability ; Control systems ; Derivatives ; integral inequality ; Integrals ; Liapunov functions ; sampled-data control systems ; Stability ; Stability analysis</subject><ispartof>IEEE access, 2019, Vol.7, p.111-116</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. 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Less conservative results are derived by two main techniques. First, a new looped-functional-based Lyapunov function is proposed, which considers the information of intervals <inline-formula> <tex-math notation="LaTeX">x({t_{k}}) </tex-math></inline-formula> to <inline-formula> <tex-math notation="LaTeX">x(t) </tex-math></inline-formula>, <inline-formula> <tex-math notation="LaTeX">x(t) </tex-math></inline-formula> to <inline-formula> <tex-math notation="LaTeX">x({t_{k + 1}}) </tex-math></inline-formula>, <inline-formula> <tex-math notation="LaTeX">x(t_{k}-\tau) </tex-math></inline-formula> to <inline-formula> <tex-math notation="LaTeX">x(t-\tau) </tex-math></inline-formula>, and <inline-formula> <tex-math notation="LaTeX">x(t-\tau) </tex-math></inline-formula> to <inline-formula> <tex-math notation="LaTeX">x(t_{k+1}-\tau) </tex-math></inline-formula>. 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The numerical examples demonstrate the validity of the proposed methods.]]></description><subject>Communication</subject><subject>communication delay</subject><subject>Control stability</subject><subject>Control systems</subject><subject>Derivatives</subject><subject>integral inequality</subject><subject>Integrals</subject><subject>Liapunov functions</subject><subject>sampled-data control systems</subject><subject>Stability</subject><subject>Stability analysis</subject><issn>2169-3536</issn><issn>2169-3536</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>ESBDL</sourceid><sourceid>RIE</sourceid><sourceid>DOA</sourceid><recordid>eNpNUctKw0AUDaJg0X5BNwHXqfPOzLKk9QGCiyguh5tkolOSTJ2ZLvL3pqaId3Mvh_OAe5JkhdEaY6TuN0WxK8s1QViuiZQccXWRLAgWKqOcist_93WyDGGPppETxPNF8l5GqGxn45huBujGYEPq2rSE_tCZJttChLRwQ_SuS8sxRNOH9MPGrxMYIgxxOvr-ONgaonVDujUdjOE2uWqhC2Z53jfJ-8PurXjKXl4fn4vNS1YzJGNGUM0EQ4LSFkmAWjUNUpWkglYGDKiWIMANCICc45a1kuXcsLxizLCKYkpvkufZt3Gw1wdve_CjdmD1L-D8pwYfbd0ZncOUYATBiBrWSFwphesmb1XOCaGAJ6-72evg3ffRhKj37uinnwRNGOeCUcnYxKIzq_YuBG_av1SM9KkOPdehT3Xocx2TajWrrDHmTyG5wERi-gOoKIXV</recordid><startdate>2019</startdate><enddate>2019</enddate><creator>Zeng, Hong-Bing</creator><creator>Zhai, Zheng-Liang</creator><creator>Xiao, Hui-Qin</creator><creator>Wang, Wei</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. 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Less conservative results are derived by two main techniques. First, a new looped-functional-based Lyapunov function is proposed, which considers the information of intervals <inline-formula> <tex-math notation="LaTeX">x({t_{k}}) </tex-math></inline-formula> to <inline-formula> <tex-math notation="LaTeX">x(t) </tex-math></inline-formula>, <inline-formula> <tex-math notation="LaTeX">x(t) </tex-math></inline-formula> to <inline-formula> <tex-math notation="LaTeX">x({t_{k + 1}}) </tex-math></inline-formula>, <inline-formula> <tex-math notation="LaTeX">x(t_{k}-\tau) </tex-math></inline-formula> to <inline-formula> <tex-math notation="LaTeX">x(t-\tau) </tex-math></inline-formula>, and <inline-formula> <tex-math notation="LaTeX">x(t-\tau) </tex-math></inline-formula> to <inline-formula> <tex-math notation="LaTeX">x(t_{k+1}-\tau) </tex-math></inline-formula>. Second, in the derivative of the Lyapunov function, the integral term which has the information of sampling-period plus communication delay is divided into three parts. Then, by employing integral inequality techniques, some improved stability conditions are derived. The numerical examples demonstrate the validity of the proposed methods.]]></abstract><cop>Piscataway</cop><pub>IEEE</pub><doi>10.1109/ACCESS.2018.2885059</doi><tpages>6</tpages><orcidid>https://orcid.org/0000-0002-0957-2502</orcidid><oa>free_for_read</oa></addata></record>
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subjects Communication
communication delay
Control stability
Control systems
Derivatives
integral inequality
Integrals
Liapunov functions
sampled-data control systems
Stability
Stability analysis
title Stability Analysis of Sampled-Data Control Systems With Constant Communication Delays
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