State estimation in the presence of bounded disturbances
This contribution proposes a robust recursive algorithm for the state estimation of linear models with unknown but bounded disturbances corrupting both the state and measurement vectors. A novel approach based on state bounding techniques is presented. The proposed algorithm can be decomposed into t...
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| Veröffentlicht in: | Automatica (Oxford) 2008-07, Vol.44 (7), p.1867-1873 |
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| container_end_page | 1873 |
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| container_issue | 7 |
| container_start_page | 1867 |
| container_title | Automatica (Oxford) |
| container_volume | 44 |
| creator | Becis-Aubry, Y. Boutayeb, M. Darouach, M. |
| description | This contribution proposes a robust recursive algorithm for the state estimation of linear models with unknown but bounded disturbances corrupting both the state and measurement vectors. A novel approach based on state bounding techniques is presented. The proposed algorithm can be decomposed into two steps:
time updating and
observation updating that uses a switching estimation Kalman-like gain matrix. Particular emphasis will be given to the design of a weighting factor that ensures the stability of the estimation error. |
| doi_str_mv | 10.1016/j.automatica.2007.10.033 |
| format | Article |
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time updating and
observation updating that uses a switching estimation Kalman-like gain matrix. Particular emphasis will be given to the design of a weighting factor that ensures the stability of the estimation error.</description><identifier>ISSN: 0005-1098</identifier><identifier>EISSN: 1873-2836</identifier><identifier>DOI: 10.1016/j.automatica.2007.10.033</identifier><identifier>CODEN: ATCAA9</identifier><language>eng</language><publisher>Oxford: Elsevier Ltd</publisher><subject>Applied sciences ; Automatic ; Computer science; control theory; systems ; Control system analysis ; Control theory. Systems ; Ellipsoidal state bounding ; Engineering Sciences ; Exact sciences and technology ; Input-to-state stability ; Modelling and identification ; Recursive state estimation ; Set-membership state estimation ; Unknown but bounded noise</subject><ispartof>Automatica (Oxford), 2008-07, Vol.44 (7), p.1867-1873</ispartof><rights>2008 Elsevier Ltd</rights><rights>2008 INIST-CNRS</rights><rights>Distributed under a Creative Commons Attribution 4.0 International License</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c382t-57cc63461a6c79277d898286b3d76de5cfa187d4068528f63716bcd8250847763</citedby><cites>FETCH-LOGICAL-c382t-57cc63461a6c79277d898286b3d76de5cfa187d4068528f63716bcd8250847763</cites><orcidid>0000-0003-2298-2124</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.automatica.2007.10.033$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>230,314,780,784,885,3550,27924,27925,45995</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=20501287$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://hal.science/hal-00343973$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>Becis-Aubry, Y.</creatorcontrib><creatorcontrib>Boutayeb, M.</creatorcontrib><creatorcontrib>Darouach, M.</creatorcontrib><title>State estimation in the presence of bounded disturbances</title><title>Automatica (Oxford)</title><description>This contribution proposes a robust recursive algorithm for the state estimation of linear models with unknown but bounded disturbances corrupting both the state and measurement vectors. A novel approach based on state bounding techniques is presented. The proposed algorithm can be decomposed into two steps:
time updating and
observation updating that uses a switching estimation Kalman-like gain matrix. Particular emphasis will be given to the design of a weighting factor that ensures the stability of the estimation error.</description><subject>Applied sciences</subject><subject>Automatic</subject><subject>Computer science; control theory; systems</subject><subject>Control system analysis</subject><subject>Control theory. Systems</subject><subject>Ellipsoidal state bounding</subject><subject>Engineering Sciences</subject><subject>Exact sciences and technology</subject><subject>Input-to-state stability</subject><subject>Modelling and identification</subject><subject>Recursive state estimation</subject><subject>Set-membership state estimation</subject><subject>Unknown but bounded noise</subject><issn>0005-1098</issn><issn>1873-2836</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2008</creationdate><recordtype>article</recordtype><recordid>eNqFkEFPAyEQhYnRxFr9D1w8eNh1gF1gj7XR1qSJB_VMWGBTmrrbAG3iv5fNmnr0NJnHe8PMhxAmUBIg_HFX6mMavnTyRpcUQGS5BMYu0IxIwQoqGb9EMwCoCwKNvEY3Me5yWxFJZ0i-J50cdjH5ccbQY9_jtHX4EFx0vXF46HA7HHvrLLY-pmNodZbjLbrq9D66u986R58vzx_LdbF5W70uF5vCMElTUQtjOKs40dyIhgphZSOp5C2zgltXm07nNW0FXNZUdpwJwltjJa1BVkJwNkcP09yt3qtDyFuGbzVor9aLjRo1AFaxRrATyV45eU0YYgyuOwcIqJGW2qk_WmqkNb5kWjl6P0UPOhq970I-0sdznkINhGaec_Q0-Vy--eRdUNH4kZP1wZmk7OD__-wH7g-DRw</recordid><startdate>20080701</startdate><enddate>20080701</enddate><creator>Becis-Aubry, Y.</creator><creator>Boutayeb, M.</creator><creator>Darouach, M.</creator><general>Elsevier Ltd</general><general>Elsevier</general><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>1XC</scope><orcidid>https://orcid.org/0000-0003-2298-2124</orcidid></search><sort><creationdate>20080701</creationdate><title>State estimation in the presence of bounded disturbances</title><author>Becis-Aubry, Y. ; Boutayeb, M. ; Darouach, M.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c382t-57cc63461a6c79277d898286b3d76de5cfa187d4068528f63716bcd8250847763</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2008</creationdate><topic>Applied sciences</topic><topic>Automatic</topic><topic>Computer science; control theory; systems</topic><topic>Control system analysis</topic><topic>Control theory. Systems</topic><topic>Ellipsoidal state bounding</topic><topic>Engineering Sciences</topic><topic>Exact sciences and technology</topic><topic>Input-to-state stability</topic><topic>Modelling and identification</topic><topic>Recursive state estimation</topic><topic>Set-membership state estimation</topic><topic>Unknown but bounded noise</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Becis-Aubry, Y.</creatorcontrib><creatorcontrib>Boutayeb, M.</creatorcontrib><creatorcontrib>Darouach, M.</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Hyper Article en Ligne (HAL)</collection><jtitle>Automatica (Oxford)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Becis-Aubry, Y.</au><au>Boutayeb, M.</au><au>Darouach, M.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>State estimation in the presence of bounded disturbances</atitle><jtitle>Automatica (Oxford)</jtitle><date>2008-07-01</date><risdate>2008</risdate><volume>44</volume><issue>7</issue><spage>1867</spage><epage>1873</epage><pages>1867-1873</pages><issn>0005-1098</issn><eissn>1873-2836</eissn><coden>ATCAA9</coden><abstract>This contribution proposes a robust recursive algorithm for the state estimation of linear models with unknown but bounded disturbances corrupting both the state and measurement vectors. A novel approach based on state bounding techniques is presented. The proposed algorithm can be decomposed into two steps:
time updating and
observation updating that uses a switching estimation Kalman-like gain matrix. Particular emphasis will be given to the design of a weighting factor that ensures the stability of the estimation error.</abstract><cop>Oxford</cop><pub>Elsevier Ltd</pub><doi>10.1016/j.automatica.2007.10.033</doi><tpages>7</tpages><orcidid>https://orcid.org/0000-0003-2298-2124</orcidid></addata></record> |
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| ispartof | Automatica (Oxford), 2008-07, Vol.44 (7), p.1867-1873 |
| issn | 0005-1098 1873-2836 |
| language | eng |
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| source | Elsevier ScienceDirect Journals Complete |
| subjects | Applied sciences Automatic Computer science control theory systems Control system analysis Control theory. Systems Ellipsoidal state bounding Engineering Sciences Exact sciences and technology Input-to-state stability Modelling and identification Recursive state estimation Set-membership state estimation Unknown but bounded noise |
| title | State estimation in the presence of bounded disturbances |
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