Loading…
A variable memory state feedback and its application to robust control of uncertain singular time-delay systems
This paper is focused on the robust control of uncertain singular time-delay systems. The systems are firstly decomposed to differential-algebraic equations. The state decomposition is applied to customize a special augmented Lyapunov–Krasovskii functional and a variable memory state feedback (which...
Saved in:
Published in: | Neural computing & applications 2022-02, Vol.34 (3), p.2177-2186 |
---|---|
Main Author: | |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
cited_by | cdi_FETCH-LOGICAL-c319t-a9e99c2124145a2fb2adb46c65c9975194ac0128f128765d67be890611a0cf833 |
---|---|
cites | cdi_FETCH-LOGICAL-c319t-a9e99c2124145a2fb2adb46c65c9975194ac0128f128765d67be890611a0cf833 |
container_end_page | 2186 |
container_issue | 3 |
container_start_page | 2177 |
container_title | Neural computing & applications |
container_volume | 34 |
creator | Zhi, Ya-Li |
description | This paper is focused on the robust control of uncertain singular time-delay systems. The systems are firstly decomposed to differential-algebraic equations. The state decomposition is applied to customize a special augmented Lyapunov–Krasovskii functional and a variable memory state feedback (which includes the general state feedback and memory state feedback as special cases). Then, a robust admissibility condition and a robust admissibilization condition are derived, by which less conservatism and better control effect can be obtained with less computation. Finally, the above statements are demonstrated by some numerical examples. |
doi_str_mv | 10.1007/s00521-021-06524-3 |
format | article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2625411433</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2625411433</sourcerecordid><originalsourceid>FETCH-LOGICAL-c319t-a9e99c2124145a2fb2adb46c65c9975194ac0128f128765d67be890611a0cf833</originalsourceid><addsrcrecordid>eNp9kEtLxDAUhYMoOI7-AVcB19W82yyHwRcMuNF1uE3TIWPb1CQV5t_bMoI7F4ezuOecCx9Ct5TcU0LKh0SIZLQgi5RkouBnaEUF5wUnsjpHK6LFchL8El2ldCCECFXJFQob_A3RQ9053Ls-xCNOGbLDrXNNDfYTw9BgnxOGcey8hezDgHPAMdRTytiGIcfQ4dDiabAuZvADTn7YTx1EnH3visZ1MK8eU3Z9ukYXLXTJ3fz6Gn08Pb5vX4rd2_PrdrMrLKc6F6Cd1pZRJqiQwNqaQVMLZZW0WpeSagGWUFa1s0olG1XWrtJEUQrEthXna3R32h1j-JpcyuYQpjjMLw1TTAq6wJlT7JSyMaQUXWvG6HuIR0OJWcCaE1hDFi1gzVLip1Kaw8Pexb_pf1o_8x97_w</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2625411433</pqid></control><display><type>article</type><title>A variable memory state feedback and its application to robust control of uncertain singular time-delay systems</title><source>Springer Nature</source><creator>Zhi, Ya-Li</creator><creatorcontrib>Zhi, Ya-Li</creatorcontrib><description>This paper is focused on the robust control of uncertain singular time-delay systems. The systems are firstly decomposed to differential-algebraic equations. The state decomposition is applied to customize a special augmented Lyapunov–Krasovskii functional and a variable memory state feedback (which includes the general state feedback and memory state feedback as special cases). Then, a robust admissibility condition and a robust admissibilization condition are derived, by which less conservatism and better control effect can be obtained with less computation. Finally, the above statements are demonstrated by some numerical examples.</description><identifier>ISSN: 0941-0643</identifier><identifier>EISSN: 1433-3058</identifier><identifier>DOI: 10.1007/s00521-021-06524-3</identifier><language>eng</language><publisher>London: Springer London</publisher><subject>Artificial Intelligence ; Computational Biology/Bioinformatics ; Computational Science and Engineering ; Computer Science ; Control systems ; Data Mining and Knowledge Discovery ; Decomposition ; Differential equations ; Image Processing and Computer Vision ; Original Article ; Probability and Statistics in Computer Science ; Robust control ; State feedback ; Theorems ; Time delay systems</subject><ispartof>Neural computing & applications, 2022-02, Vol.34 (3), p.2177-2186</ispartof><rights>The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2021</rights><rights>The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2021.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c319t-a9e99c2124145a2fb2adb46c65c9975194ac0128f128765d67be890611a0cf833</citedby><cites>FETCH-LOGICAL-c319t-a9e99c2124145a2fb2adb46c65c9975194ac0128f128765d67be890611a0cf833</cites><orcidid>0000-0001-6604-3781</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids></links><search><creatorcontrib>Zhi, Ya-Li</creatorcontrib><title>A variable memory state feedback and its application to robust control of uncertain singular time-delay systems</title><title>Neural computing & applications</title><addtitle>Neural Comput & Applic</addtitle><description>This paper is focused on the robust control of uncertain singular time-delay systems. The systems are firstly decomposed to differential-algebraic equations. The state decomposition is applied to customize a special augmented Lyapunov–Krasovskii functional and a variable memory state feedback (which includes the general state feedback and memory state feedback as special cases). Then, a robust admissibility condition and a robust admissibilization condition are derived, by which less conservatism and better control effect can be obtained with less computation. Finally, the above statements are demonstrated by some numerical examples.</description><subject>Artificial Intelligence</subject><subject>Computational Biology/Bioinformatics</subject><subject>Computational Science and Engineering</subject><subject>Computer Science</subject><subject>Control systems</subject><subject>Data Mining and Knowledge Discovery</subject><subject>Decomposition</subject><subject>Differential equations</subject><subject>Image Processing and Computer Vision</subject><subject>Original Article</subject><subject>Probability and Statistics in Computer Science</subject><subject>Robust control</subject><subject>State feedback</subject><subject>Theorems</subject><subject>Time delay systems</subject><issn>0941-0643</issn><issn>1433-3058</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><recordid>eNp9kEtLxDAUhYMoOI7-AVcB19W82yyHwRcMuNF1uE3TIWPb1CQV5t_bMoI7F4ezuOecCx9Ct5TcU0LKh0SIZLQgi5RkouBnaEUF5wUnsjpHK6LFchL8El2ldCCECFXJFQob_A3RQ9053Ls-xCNOGbLDrXNNDfYTw9BgnxOGcey8hezDgHPAMdRTytiGIcfQ4dDiabAuZvADTn7YTx1EnH3visZ1MK8eU3Z9ukYXLXTJ3fz6Gn08Pb5vX4rd2_PrdrMrLKc6F6Cd1pZRJqiQwNqaQVMLZZW0WpeSagGWUFa1s0olG1XWrtJEUQrEthXna3R32h1j-JpcyuYQpjjMLw1TTAq6wJlT7JSyMaQUXWvG6HuIR0OJWcCaE1hDFi1gzVLip1Kaw8Pexb_pf1o_8x97_w</recordid><startdate>20220201</startdate><enddate>20220201</enddate><creator>Zhi, Ya-Li</creator><general>Springer London</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>8FE</scope><scope>8FG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>HCIFZ</scope><scope>P5Z</scope><scope>P62</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><orcidid>https://orcid.org/0000-0001-6604-3781</orcidid></search><sort><creationdate>20220201</creationdate><title>A variable memory state feedback and its application to robust control of uncertain singular time-delay systems</title><author>Zhi, Ya-Li</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c319t-a9e99c2124145a2fb2adb46c65c9975194ac0128f128765d67be890611a0cf833</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Artificial Intelligence</topic><topic>Computational Biology/Bioinformatics</topic><topic>Computational Science and Engineering</topic><topic>Computer Science</topic><topic>Control systems</topic><topic>Data Mining and Knowledge Discovery</topic><topic>Decomposition</topic><topic>Differential equations</topic><topic>Image Processing and Computer Vision</topic><topic>Original Article</topic><topic>Probability and Statistics in Computer Science</topic><topic>Robust control</topic><topic>State feedback</topic><topic>Theorems</topic><topic>Time delay systems</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zhi, Ya-Li</creatorcontrib><collection>CrossRef</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>SciTech Premium Collection</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><jtitle>Neural computing & applications</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zhi, Ya-Li</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A variable memory state feedback and its application to robust control of uncertain singular time-delay systems</atitle><jtitle>Neural computing & applications</jtitle><stitle>Neural Comput & Applic</stitle><date>2022-02-01</date><risdate>2022</risdate><volume>34</volume><issue>3</issue><spage>2177</spage><epage>2186</epage><pages>2177-2186</pages><issn>0941-0643</issn><eissn>1433-3058</eissn><abstract>This paper is focused on the robust control of uncertain singular time-delay systems. The systems are firstly decomposed to differential-algebraic equations. The state decomposition is applied to customize a special augmented Lyapunov–Krasovskii functional and a variable memory state feedback (which includes the general state feedback and memory state feedback as special cases). Then, a robust admissibility condition and a robust admissibilization condition are derived, by which less conservatism and better control effect can be obtained with less computation. Finally, the above statements are demonstrated by some numerical examples.</abstract><cop>London</cop><pub>Springer London</pub><doi>10.1007/s00521-021-06524-3</doi><tpages>10</tpages><orcidid>https://orcid.org/0000-0001-6604-3781</orcidid></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0941-0643 |
ispartof | Neural computing & applications, 2022-02, Vol.34 (3), p.2177-2186 |
issn | 0941-0643 1433-3058 |
language | eng |
recordid | cdi_proquest_journals_2625411433 |
source | Springer Nature |
subjects | Artificial Intelligence Computational Biology/Bioinformatics Computational Science and Engineering Computer Science Control systems Data Mining and Knowledge Discovery Decomposition Differential equations Image Processing and Computer Vision Original Article Probability and Statistics in Computer Science Robust control State feedback Theorems Time delay systems |
title | A variable memory state feedback and its application to robust control of uncertain singular time-delay systems |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-27T01%3A22%3A44IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=A%20variable%20memory%20state%20feedback%20and%20its%20application%20to%20robust%20control%20of%20uncertain%20singular%20time-delay%20systems&rft.jtitle=Neural%20computing%20&%20applications&rft.au=Zhi,%20Ya-Li&rft.date=2022-02-01&rft.volume=34&rft.issue=3&rft.spage=2177&rft.epage=2186&rft.pages=2177-2186&rft.issn=0941-0643&rft.eissn=1433-3058&rft_id=info:doi/10.1007/s00521-021-06524-3&rft_dat=%3Cproquest_cross%3E2625411433%3C/proquest_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c319t-a9e99c2124145a2fb2adb46c65c9975194ac0128f128765d67be890611a0cf833%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2625411433&rft_id=info:pmid/&rfr_iscdi=true |