Efficient DFT-based model reduction for continuous systems
A method for online identification of reduced-order models (ROM) of stable continuous systems is presented. The method is unique because it utilizes the moving discrete Fourier transform (MDFT) to continuously monitor the frequency-domain profile of the plant input and output signals. These signals...
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Veröffentlicht in: | IEEE transactions on automatic control 1991-10, Vol.36 (10), p.1188-1193 |
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description | A method for online identification of reduced-order models (ROM) of stable continuous systems is presented. The method is unique because it utilizes the moving discrete Fourier transform (MDFT) to continuously monitor the frequency-domain profile of the plant input and output signals. These signals need not be sinusoidal, although they must be accurately represented by their DFTs. Also, the input must contain at least n frequency components (for an nth-order ROM). A computer simulation demonstrates the method.< > |
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The method is unique because it utilizes the moving discrete Fourier transform (MDFT) to continuously monitor the frequency-domain profile of the plant input and output signals. These signals need not be sinusoidal, although they must be accurately represented by their DFTs. Also, the input must contain at least n frequency components (for an nth-order ROM). A computer simulation demonstrates the method.< ></description><identifier>ISSN: 0018-9286</identifier><identifier>EISSN: 1558-2523</identifier><identifier>DOI: 10.1109/9.90233</identifier><identifier>CODEN: IETAA9</identifier><language>eng</language><publisher>New York, NY: IEEE</publisher><subject>Applied sciences ; Computer science; control theory; systems ; Computer simulation ; Computerized monitoring ; Condition monitoring ; Continuous time systems ; Control theory. Systems ; Discrete Fourier transforms ; Discrete transforms ; Exact sciences and technology ; Fourier transforms ; Frequency estimation ; Modelling and identification ; Read only memory ; Reduced order systems</subject><ispartof>IEEE transactions on automatic control, 1991-10, Vol.36 (10), p.1188-1193</ispartof><rights>1992 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c332t-282fe5d651fe704685bddfe27b984905cf06296ee45e78be29538b666d17df193</citedby><cites>FETCH-LOGICAL-c332t-282fe5d651fe704685bddfe27b984905cf06296ee45e78be29538b666d17df193</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/90233$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,776,780,792,27901,27902,54733</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/90233$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=5164260$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Lilly, J.H.</creatorcontrib><title>Efficient DFT-based model reduction for continuous systems</title><title>IEEE transactions on automatic control</title><addtitle>TAC</addtitle><description>A method for online identification of reduced-order models (ROM) of stable continuous systems is presented. The method is unique because it utilizes the moving discrete Fourier transform (MDFT) to continuously monitor the frequency-domain profile of the plant input and output signals. These signals need not be sinusoidal, although they must be accurately represented by their DFTs. Also, the input must contain at least n frequency components (for an nth-order ROM). A computer simulation demonstrates the method.< ></description><subject>Applied sciences</subject><subject>Computer science; control theory; systems</subject><subject>Computer simulation</subject><subject>Computerized monitoring</subject><subject>Condition monitoring</subject><subject>Continuous time systems</subject><subject>Control theory. Systems</subject><subject>Discrete Fourier transforms</subject><subject>Discrete transforms</subject><subject>Exact sciences and technology</subject><subject>Fourier transforms</subject><subject>Frequency estimation</subject><subject>Modelling and identification</subject><subject>Read only memory</subject><subject>Reduced order systems</subject><issn>0018-9286</issn><issn>1558-2523</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1991</creationdate><recordtype>article</recordtype><recordid>eNqNkEtLAzEUhYMoWKu4djcL0dXUPCaZxJ30oULBTV0PmeQGIvOoycyi_96UKV3LWVwu9-Nwz0HonuAFIVi9qIXClLELNCOcy5xyyi7RDGMic0WluEY3Mf6kVRQFmaHXtXPeeOiGbLXZ5bWOYLO2t9BkAexoBt93metDZvpu8N3YjzGLhzhAG2_RldNNhLvTnKPvzXq3_Mi3X--fy7dtbhijQ04ldcCt4MRBiQsheW2tA1rWShYKc-OwoEoAFBxKWQNVnMlaCGFJaR1RbI6eJt996H9HiEPV-migaXQH6Z2KSlmWRNF_gEkpeAKfJ9CEPsYArtoH3-pwqAiujiVWSccSE_l4stTR6MYF3RkfzzhPLVKBE_YwYR4AztfJ4g8SaXc3</recordid><startdate>19911001</startdate><enddate>19911001</enddate><creator>Lilly, J.H.</creator><general>IEEE</general><general>Institute of Electrical and Electronics Engineers</general><scope>IQODW</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><scope>H8D</scope></search><sort><creationdate>19911001</creationdate><title>Efficient DFT-based model reduction for continuous systems</title><author>Lilly, J.H.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c332t-282fe5d651fe704685bddfe27b984905cf06296ee45e78be29538b666d17df193</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1991</creationdate><topic>Applied sciences</topic><topic>Computer science; control theory; systems</topic><topic>Computer simulation</topic><topic>Computerized monitoring</topic><topic>Condition monitoring</topic><topic>Continuous time systems</topic><topic>Control theory. Systems</topic><topic>Discrete Fourier transforms</topic><topic>Discrete transforms</topic><topic>Exact sciences and technology</topic><topic>Fourier transforms</topic><topic>Frequency estimation</topic><topic>Modelling and identification</topic><topic>Read only memory</topic><topic>Reduced order systems</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Lilly, J.H.</creatorcontrib><collection>Pascal-Francis</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><collection>Aerospace Database</collection><jtitle>IEEE transactions on automatic control</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Lilly, J.H.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Efficient DFT-based model reduction for continuous systems</atitle><jtitle>IEEE transactions on automatic control</jtitle><stitle>TAC</stitle><date>1991-10-01</date><risdate>1991</risdate><volume>36</volume><issue>10</issue><spage>1188</spage><epage>1193</epage><pages>1188-1193</pages><issn>0018-9286</issn><eissn>1558-2523</eissn><coden>IETAA9</coden><abstract>A method for online identification of reduced-order models (ROM) of stable continuous systems is presented. The method is unique because it utilizes the moving discrete Fourier transform (MDFT) to continuously monitor the frequency-domain profile of the plant input and output signals. These signals need not be sinusoidal, although they must be accurately represented by their DFTs. Also, the input must contain at least n frequency components (for an nth-order ROM). A computer simulation demonstrates the method.< ></abstract><cop>New York, NY</cop><pub>IEEE</pub><doi>10.1109/9.90233</doi><tpages>6</tpages></addata></record> |
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subjects | Applied sciences Computer science control theory systems Computer simulation Computerized monitoring Condition monitoring Continuous time systems Control theory. Systems Discrete Fourier transforms Discrete transforms Exact sciences and technology Fourier transforms Frequency estimation Modelling and identification Read only memory Reduced order systems |
title | Efficient DFT-based model reduction for continuous systems |
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