Scaled impulse energy approximation for model reduction
It is shown that the impulse energy approximation technique for model reduction can be improved by scaling in the frequency domain. The method remains simple to use and retains the stability property of impulse energy approximation. Criteria are given for choosing an appropriate scaling parameter. A...
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| Veröffentlicht in: | IEEE transactions on automatic control 1988-08, Vol.33 (8), p.791-793 |
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| container_end_page | 793 |
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| container_issue | 8 |
| container_start_page | 791 |
| container_title | IEEE transactions on automatic control |
| container_volume | 33 |
| creator | Lucas, T.N. |
| description | It is shown that the impulse energy approximation technique for model reduction can be improved by scaling in the frequency domain. The method remains simple to use and retains the stability property of impulse energy approximation. Criteria are given for choosing an appropriate scaling parameter. An example illustrates the technique.< > |
| doi_str_mv | 10.1109/9.1303 |
| format | Article |
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The method remains simple to use and retains the stability property of impulse energy approximation. Criteria are given for choosing an appropriate scaling parameter. An example illustrates the technique.< ></description><subject>Applied sciences</subject><subject>Computer science; control theory; systems</subject><subject>Control theory. Systems</subject><subject>Distributed computing</subject><subject>Exact sciences and technology</subject><subject>Frequency</subject><subject>Joining processes</subject><subject>Linear approximation</subject><subject>Linear systems</subject><subject>Mathematics</subject><subject>Modelling and identification</subject><subject>Reduced order systems</subject><subject>Stability</subject><subject>Statistics</subject><subject>Transfer functions</subject><issn>0018-9286</issn><issn>1558-2523</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1988</creationdate><recordtype>article</recordtype><recordid>eNqFkE1Lw0AQhhdRsFY9e8xBvKXOfmSSPUqxKhQ8qOdlu5mVSL7cbcD-exNa7NHTMMMzDzMvY9ccFpyDvtcLLkGesBnPsiIVmZCnbAbAi1SLAs_ZRYxfY4tK8RnL35ytqUyqph_qSAm1FD53ie370P1Ujd1WXZv4LiRNV1KdBCoHN80u2Zm348LVoc7Zx-rxffmcrl-fXpYP69RJobdpgTwH57zyG9RaKq89Yu6tAu64VbYsM1VqKNUGKM8IcwJyiN4KREDayDm723vHe74HilvTVNFRXduWuiEaoUGgAPgfLBA4l_IIutDFGMibPoyPhp3hYKYAjTZTgCN4ezDaOIbkg21dFf_oXAilMhyxmz1WEdHRNRl-AUBMdmk</recordid><startdate>19880801</startdate><enddate>19880801</enddate><creator>Lucas, T.N.</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>19880801</creationdate><title>Scaled impulse energy approximation for model reduction</title><author>Lucas, T.N.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c329t-86170ccf4fb69934f9f667fa401c1a4add54d90d4b0e75e67e0ec66fa26606eb3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1988</creationdate><topic>Applied sciences</topic><topic>Computer science; control theory; systems</topic><topic>Control theory. Systems</topic><topic>Distributed computing</topic><topic>Exact sciences and technology</topic><topic>Frequency</topic><topic>Joining processes</topic><topic>Linear approximation</topic><topic>Linear systems</topic><topic>Mathematics</topic><topic>Modelling and identification</topic><topic>Reduced order systems</topic><topic>Stability</topic><topic>Statistics</topic><topic>Transfer functions</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Lucas, T.N.</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>Lucas, T.N.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Scaled impulse energy approximation for model reduction</atitle><jtitle>IEEE transactions on automatic control</jtitle><stitle>TAC</stitle><date>1988-08-01</date><risdate>1988</risdate><volume>33</volume><issue>8</issue><spage>791</spage><epage>793</epage><pages>791-793</pages><issn>0018-9286</issn><eissn>1558-2523</eissn><coden>IETAA9</coden><abstract>It is shown that the impulse energy approximation technique for model reduction can be improved by scaling in the frequency domain. The method remains simple to use and retains the stability property of impulse energy approximation. Criteria are given for choosing an appropriate scaling parameter. An example illustrates the technique.< ></abstract><cop>New York, NY</cop><pub>IEEE</pub><doi>10.1109/9.1303</doi><tpages>3</tpages></addata></record> |
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| identifier | ISSN: 0018-9286 |
| ispartof | IEEE transactions on automatic control, 1988-08, Vol.33 (8), p.791-793 |
| issn | 0018-9286 1558-2523 |
| language | eng |
| recordid | cdi_pascalfrancis_primary_7224456 |
| source | IEEE Electronic Library (IEL) |
| subjects | Applied sciences Computer science control theory systems Control theory. Systems Distributed computing Exact sciences and technology Frequency Joining processes Linear approximation Linear systems Mathematics Modelling and identification Reduced order systems Stability Statistics Transfer functions |
| title | Scaled impulse energy approximation for model reduction |
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