Low-Complexity Tracking Control of Strict-Feedback Systems With Unknown Control Directions
This paper focuses on the problem of output tracking with prescribed transient and steady-state performance for strict-feedback systems with unknown nonlinear functions and unmatched disturbances. In lieu of Nussbaum gain techniques, parameter estimation algorithms and switching control strategies,...
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| Veröffentlicht in: | IEEE transactions on automatic control 2019-12, Vol.64 (12), p.5175-5182 |
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| container_title | IEEE transactions on automatic control |
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| creator | Zhang, Jin-Xi Yang, Guang-Hong |
| description | This paper focuses on the problem of output tracking with prescribed transient and steady-state performance for strict-feedback systems with unknown nonlinear functions and unmatched disturbances. In lieu of Nussbaum gain techniques, parameter estimation algorithms and switching control strategies, a continuous static low-complexity control solution is provided by means of a novel combination of smooth orientation functions and error transformation functions. The proposed method possesses inherent robustness against model uncertainties, disturbances, and virtual control signal derivatives, thus eliminating the needs to introduce extra robust control schemes and compute analytic derivatives. Comparative simulation results further illustrate the above theoretical findings. |
| doi_str_mv | 10.1109/TAC.2019.2910738 |
| format | Article |
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In lieu of Nussbaum gain techniques, parameter estimation algorithms and switching control strategies, a continuous static low-complexity control solution is provided by means of a novel combination of smooth orientation functions and error transformation functions. The proposed method possesses inherent robustness against model uncertainties, disturbances, and virtual control signal derivatives, thus eliminating the needs to introduce extra robust control schemes and compute analytic derivatives. Comparative simulation results further illustrate the above theoretical findings.</description><identifier>ISSN: 0018-9286</identifier><identifier>EISSN: 1558-2523</identifier><identifier>DOI: 10.1109/TAC.2019.2910738</identifier><identifier>CODEN: IETAA9</identifier><language>eng</language><publisher>New York: IEEE</publisher><subject>Algorithms ; Complexity ; Computer simulation ; Control systems ; Derivatives ; Disturbances ; Feedback ; Low-complexity ; Nonlinear systems ; Parameter estimation ; prescribed performance ; Robust control ; Robustness ; static control ; Steady-state ; Switches ; Tracking control ; Transient analysis ; Uncertainty ; unknown control directions</subject><ispartof>IEEE transactions on automatic control, 2019-12, Vol.64 (12), p.5175-5182</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2019</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c291t-b61257fb80b5a83f05e72f3dc7cf419418aeb73047fd246b58563ea5ee9b60363</citedby><cites>FETCH-LOGICAL-c291t-b61257fb80b5a83f05e72f3dc7cf419418aeb73047fd246b58563ea5ee9b60363</cites><orcidid>0000-0002-1451-7057 ; 0000-0002-8911-0112</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/8688504$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,776,780,792,27901,27902,54733</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/8688504$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Zhang, Jin-Xi</creatorcontrib><creatorcontrib>Yang, Guang-Hong</creatorcontrib><title>Low-Complexity Tracking Control of Strict-Feedback Systems With Unknown Control Directions</title><title>IEEE transactions on automatic control</title><addtitle>TAC</addtitle><description>This paper focuses on the problem of output tracking with prescribed transient and steady-state performance for strict-feedback systems with unknown nonlinear functions and unmatched disturbances. 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Comparative simulation results further illustrate the above theoretical findings.</description><subject>Algorithms</subject><subject>Complexity</subject><subject>Computer simulation</subject><subject>Control systems</subject><subject>Derivatives</subject><subject>Disturbances</subject><subject>Feedback</subject><subject>Low-complexity</subject><subject>Nonlinear systems</subject><subject>Parameter estimation</subject><subject>prescribed performance</subject><subject>Robust control</subject><subject>Robustness</subject><subject>static control</subject><subject>Steady-state</subject><subject>Switches</subject><subject>Tracking control</subject><subject>Transient analysis</subject><subject>Uncertainty</subject><subject>unknown control directions</subject><issn>0018-9286</issn><issn>1558-2523</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNo9kMtLAzEQh4MoWKt3wcuC5615bB57LKtVoeChLYKXsNlONH1sapJS-9-7paWnYZjvNzN8CN0TPCAEl0_TYTWgmJQDWhIsmbpAPcK5yimn7BL1MCYqL6kS1-gmxkXXiqIgPfQ19ru88uvNCv5c2mfTUDdL135nlW9T8KvM22ySgmtSPgKYm26aTfYxwTpmny79ZLN22fpde-afXYAmOd_GW3Rl61WEu1Pto9noZVq95eOP1_dqOM6b7tWUG0Eol9YobHitmMUcJLVs3sjGFqQsiKrBSIYLaee0EIYrLhjUHKA0AjPB-ujxuHcT_O8WYtILvw1td1JTRqlUEivSUfhINcHHGMDqTXDrOuw1wfpgUHcG9cGgPhnsIg_HiAOAM66EUhwX7B9BA2yC</recordid><startdate>20191201</startdate><enddate>20191201</enddate><creator>Zhang, Jin-Xi</creator><creator>Yang, Guang-Hong</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><scope>97E</scope><scope>RIA</scope><scope>RIE</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><orcidid>https://orcid.org/0000-0002-1451-7057</orcidid><orcidid>https://orcid.org/0000-0002-8911-0112</orcidid></search><sort><creationdate>20191201</creationdate><title>Low-Complexity Tracking Control of Strict-Feedback Systems With Unknown Control Directions</title><author>Zhang, Jin-Xi ; Yang, Guang-Hong</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c291t-b61257fb80b5a83f05e72f3dc7cf419418aeb73047fd246b58563ea5ee9b60363</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Algorithms</topic><topic>Complexity</topic><topic>Computer simulation</topic><topic>Control systems</topic><topic>Derivatives</topic><topic>Disturbances</topic><topic>Feedback</topic><topic>Low-complexity</topic><topic>Nonlinear systems</topic><topic>Parameter estimation</topic><topic>prescribed performance</topic><topic>Robust control</topic><topic>Robustness</topic><topic>static control</topic><topic>Steady-state</topic><topic>Switches</topic><topic>Tracking control</topic><topic>Transient analysis</topic><topic>Uncertainty</topic><topic>unknown control directions</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zhang, Jin-Xi</creatorcontrib><creatorcontrib>Yang, Guang-Hong</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</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><jtitle>IEEE transactions on automatic control</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Zhang, Jin-Xi</au><au>Yang, Guang-Hong</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Low-Complexity Tracking Control of Strict-Feedback Systems With Unknown Control Directions</atitle><jtitle>IEEE transactions on automatic control</jtitle><stitle>TAC</stitle><date>2019-12-01</date><risdate>2019</risdate><volume>64</volume><issue>12</issue><spage>5175</spage><epage>5182</epage><pages>5175-5182</pages><issn>0018-9286</issn><eissn>1558-2523</eissn><coden>IETAA9</coden><abstract>This paper focuses on the problem of output tracking with prescribed transient and steady-state performance for strict-feedback systems with unknown nonlinear functions and unmatched disturbances. 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| ispartof | IEEE transactions on automatic control, 2019-12, Vol.64 (12), p.5175-5182 |
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| source | IEEE Electronic Library (IEL) |
| subjects | Algorithms Complexity Computer simulation Control systems Derivatives Disturbances Feedback Low-complexity Nonlinear systems Parameter estimation prescribed performance Robust control Robustness static control Steady-state Switches Tracking control Transient analysis Uncertainty unknown control directions |
| title | Low-Complexity Tracking Control of Strict-Feedback Systems With Unknown Control Directions |
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