On the optimal control of hybrid systems on Lie groups and the exponential gradient HMP algorithm
This paper provides a theory and associated algorithm for the optimization of autonomous and controlled hybrid systems on Lie groups. First, a geometrical derivation of the Hybrid Minimum Principle (HMP) for hybrid systems whose state manifolds constitute a Lie group (G, *) which is left invariant u...
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description | This paper provides a theory and associated algorithm for the optimization of autonomous and controlled hybrid systems on Lie groups. First, a geometrical derivation of the Hybrid Minimum Principle (HMP) for hybrid systems whose state manifolds constitute a Lie group (G, *) which is left invariant under the controlled dynamics of the system is presented. Second, a geometrical algorithm is developed by employing the notion of exponential curves on Lie groups. The convergence analysis for the proposed algorithm is based on Lasalle Theory. Simulation results are provided at the end of the paper. |
doi_str_mv | 10.1109/CDC.2013.6760283 |
format | Conference Proceeding |
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First, a geometrical derivation of the Hybrid Minimum Principle (HMP) for hybrid systems whose state manifolds constitute a Lie group (G, *) which is left invariant under the controlled dynamics of the system is presented. Second, a geometrical algorithm is developed by employing the notion of exponential curves on Lie groups. The convergence analysis for the proposed algorithm is based on Lasalle Theory. Simulation results are provided at the end of the paper.</description><identifier>ISSN: 0191-2216</identifier><identifier>ISBN: 1467357146</identifier><identifier>ISBN: 9781467357142</identifier><identifier>EISBN: 9781467357173</identifier><identifier>EISBN: 1479913812</identifier><identifier>EISBN: 1467357170</identifier><identifier>EISBN: 9781479913817</identifier><identifier>DOI: 10.1109/CDC.2013.6760283</identifier><language>eng</language><publisher>IEEE</publisher><subject>Manifolds ; Niobium ; Optimal control ; Switches ; Trajectory ; Vectors</subject><ispartof>52nd IEEE Conference on Decision and Control, 2013, p.2653-2658</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/6760283$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,777,781,786,787,2052,27906,54901</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/6760283$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Taringoo, Farzin</creatorcontrib><creatorcontrib>Caines, Peter E.</creatorcontrib><title>On the optimal control of hybrid systems on Lie groups and the exponential gradient HMP algorithm</title><title>52nd IEEE Conference on Decision and Control</title><addtitle>CDC</addtitle><description>This paper provides a theory and associated algorithm for the optimization of autonomous and controlled hybrid systems on Lie groups. First, a geometrical derivation of the Hybrid Minimum Principle (HMP) for hybrid systems whose state manifolds constitute a Lie group (G, *) which is left invariant under the controlled dynamics of the system is presented. Second, a geometrical algorithm is developed by employing the notion of exponential curves on Lie groups. The convergence analysis for the proposed algorithm is based on Lasalle Theory. Simulation results are provided at the end of the paper.</description><subject>Manifolds</subject><subject>Niobium</subject><subject>Optimal control</subject><subject>Switches</subject><subject>Trajectory</subject><subject>Vectors</subject><issn>0191-2216</issn><isbn>1467357146</isbn><isbn>9781467357142</isbn><isbn>9781467357173</isbn><isbn>1479913812</isbn><isbn>1467357170</isbn><isbn>9781479913817</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2013</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNo1kD1PwzAYhI0AibZ0R2LxH0jxazt2PKLwUaSgMsBcObHdGqVxZBuJ_nsiKNPdDc9JdwjdAFkBEHVXP9QrSoCthBSEVuwMLZWsgAvJSgmSnaP5f-DiAs0IKCgoBXGF5il9EkIqIsQM6c2A897iMGZ_0D3uwpBj6HFweH9sozc4HVO2h4TDgBtv8S6GrzFhPZhfzn6PYbBD9hO7i9r4yeP16xvW_S5En_eHa3TpdJ_s8qQL9PH0-F6vi2bz_FLfN4UHWeai5IRqRxxQUJazzpmqU0Rxbik1ppUtBUpLJ6mz3IhqEtUpoTW4VspKW7ZAt3-93lq7HeM0Jx63p3vYD9mIV58</recordid><startdate>201312</startdate><enddate>201312</enddate><creator>Taringoo, Farzin</creator><creator>Caines, Peter E.</creator><general>IEEE</general><scope>6IE</scope><scope>6IH</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIO</scope></search><sort><creationdate>201312</creationdate><title>On the optimal control of hybrid systems on Lie groups and the exponential gradient HMP algorithm</title><author>Taringoo, Farzin ; Caines, Peter E.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-5402af0f1219e43cfd8c90944e22ddb7b21225f72fe4d682fe9c96aa1fb778ae3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Manifolds</topic><topic>Niobium</topic><topic>Optimal control</topic><topic>Switches</topic><topic>Trajectory</topic><topic>Vectors</topic><toplevel>online_resources</toplevel><creatorcontrib>Taringoo, Farzin</creatorcontrib><creatorcontrib>Caines, Peter E.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan (POP) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP) 1998-present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Taringoo, Farzin</au><au>Caines, Peter E.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>On the optimal control of hybrid systems on Lie groups and the exponential gradient HMP algorithm</atitle><btitle>52nd IEEE Conference on Decision and Control</btitle><stitle>CDC</stitle><date>2013-12</date><risdate>2013</risdate><spage>2653</spage><epage>2658</epage><pages>2653-2658</pages><issn>0191-2216</issn><isbn>1467357146</isbn><isbn>9781467357142</isbn><eisbn>9781467357173</eisbn><eisbn>1479913812</eisbn><eisbn>1467357170</eisbn><eisbn>9781479913817</eisbn><abstract>This paper provides a theory and associated algorithm for the optimization of autonomous and controlled hybrid systems on Lie groups. First, a geometrical derivation of the Hybrid Minimum Principle (HMP) for hybrid systems whose state manifolds constitute a Lie group (G, *) which is left invariant under the controlled dynamics of the system is presented. Second, a geometrical algorithm is developed by employing the notion of exponential curves on Lie groups. The convergence analysis for the proposed algorithm is based on Lasalle Theory. Simulation results are provided at the end of the paper.</abstract><pub>IEEE</pub><doi>10.1109/CDC.2013.6760283</doi><tpages>6</tpages></addata></record> |
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source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | Manifolds Niobium Optimal control Switches Trajectory Vectors |
title | On the optimal control of hybrid systems on Lie groups and the exponential gradient HMP algorithm |
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