Constrained robust model predictive control via parameter-dependent dynamic output feedback
This paper considers output feedback robust model predictive control for the quasi-linear parameter varying (quasi-LPV) system with bounded disturbance. The so-called quasi-LPV means that the varying parameters of the linear system are known at the current time, but unknown in the future. The contro...
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| Veröffentlicht in: | Automatica (Oxford) 2010-09, Vol.46 (9), p.1517-1523 |
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| creator | Ding, B. |
| description | This paper considers output feedback robust model predictive control for the quasi-linear parameter varying (quasi-LPV) system with bounded disturbance. The so-called quasi-LPV means that the varying parameters of the linear system are known at the current time, but unknown in the future. The control law is parameterized as a parameter-dependent dynamic output feedback, and the closed-loop stability is specified by the notion of quadratic boundedness. An iterative algorithm is proposed for the on-line synthesis of the control law via convex optimization. A numerical example is given to illustrate the effectiveness of the controller. |
| doi_str_mv | 10.1016/j.automatica.2010.06.014 |
| format | Article |
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The so-called quasi-LPV means that the varying parameters of the linear system are known at the current time, but unknown in the future. The control law is parameterized as a parameter-dependent dynamic output feedback, and the closed-loop stability is specified by the notion of quadratic boundedness. An iterative algorithm is proposed for the on-line synthesis of the control law via convex optimization. A numerical example is given to illustrate the effectiveness of the controller.</description><identifier>ISSN: 0005-1098</identifier><identifier>EISSN: 1873-2836</identifier><identifier>DOI: 10.1016/j.automatica.2010.06.014</identifier><identifier>CODEN: ATCAA9</identifier><language>eng</language><publisher>Kidlington: Elsevier Ltd</publisher><subject>Applied sciences ; Computer science; control theory; systems ; Control system synthesis ; Control theory. 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The so-called quasi-LPV means that the varying parameters of the linear system are known at the current time, but unknown in the future. The control law is parameterized as a parameter-dependent dynamic output feedback, and the closed-loop stability is specified by the notion of quadratic boundedness. An iterative algorithm is proposed for the on-line synthesis of the control law via convex optimization. A numerical example is given to illustrate the effectiveness of the controller.</description><subject>Applied sciences</subject><subject>Computer science; control theory; systems</subject><subject>Control system synthesis</subject><subject>Control theory. Systems</subject><subject>Dynamic output feedback</subject><subject>Dynamical systems</subject><subject>Dynamics</subject><subject>Exact sciences and technology</subject><subject>Law</subject><subject>Linear systems</subject><subject>Mathematical models</subject><subject>Model predictive control</subject><subject>Modelling and identification</subject><subject>On-line systems</subject><subject>Optimal control</subject><subject>Output feedback</subject><subject>Predictive control</subject><subject>Quadratic boundedness</subject><subject>Uncertain systems</subject><issn>0005-1098</issn><issn>1873-2836</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2010</creationdate><recordtype>article</recordtype><recordid>eNqFkE1r3DAQhkVpodu0_0GX0pO3kuW15WO6pGkgkEty6kHMjkagrS05kryQf1-FDckxp2GG94N5GONSbKWQ_c_jFtYSZygeYduKehb9VsjuA9tIPaim1ar_yDZCiF0jxag_sy85H-vaSd1u2N99DLkk8IEsT_Gw5sLnaGniSyLrsfgTcYyhpDjxkwe-QIKZCqXG0kLBUijcPgWYPfK4lmUt3BHZA-C_r-yTgynTt5d5wR5-X93v_zS3d9c3-8vbBpUWpZGjBes65bpeDWM3SOH0qDQ6khbJOeWw1yC0A9n2oCzudkQ7eUA7DCDHQV2wH-fcJcXHlXIxs89I0wSB4pqNllor2Q5jVeqzElPMOZEzS_IzpCcjhXnGaY7mDad5xmlEbyrOav3-UgIZYXIJAvr86m9VK1QNqLpfZx3Vj0-eksnoKWCFmQiLsdG_X_YfYc2TFw</recordid><startdate>20100901</startdate><enddate>20100901</enddate><creator>Ding, B.</creator><general>Elsevier Ltd</general><general>Elsevier</general><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7SP</scope><scope>8FD</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope></search><sort><creationdate>20100901</creationdate><title>Constrained robust model predictive control via parameter-dependent dynamic output feedback</title><author>Ding, B.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c380t-19dadf43f463794710f8938cfe1dceff3fc68a08fa126a3dc55ee51bcd77a1973</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2010</creationdate><topic>Applied sciences</topic><topic>Computer science; control theory; systems</topic><topic>Control system synthesis</topic><topic>Control theory. Systems</topic><topic>Dynamic output feedback</topic><topic>Dynamical systems</topic><topic>Dynamics</topic><topic>Exact sciences and technology</topic><topic>Law</topic><topic>Linear systems</topic><topic>Mathematical models</topic><topic>Model predictive control</topic><topic>Modelling and identification</topic><topic>On-line systems</topic><topic>Optimal control</topic><topic>Output feedback</topic><topic>Predictive control</topic><topic>Quadratic boundedness</topic><topic>Uncertain systems</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ding, B.</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Technology 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>Automatica (Oxford)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ding, B.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Constrained robust model predictive control via parameter-dependent dynamic output feedback</atitle><jtitle>Automatica (Oxford)</jtitle><date>2010-09-01</date><risdate>2010</risdate><volume>46</volume><issue>9</issue><spage>1517</spage><epage>1523</epage><pages>1517-1523</pages><issn>0005-1098</issn><eissn>1873-2836</eissn><coden>ATCAA9</coden><abstract>This paper considers output feedback robust model predictive control for the quasi-linear parameter varying (quasi-LPV) system with bounded disturbance. 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| subjects | Applied sciences Computer science control theory systems Control system synthesis Control theory. Systems Dynamic output feedback Dynamical systems Dynamics Exact sciences and technology Law Linear systems Mathematical models Model predictive control Modelling and identification On-line systems Optimal control Output feedback Predictive control Quadratic boundedness Uncertain systems |
| title | Constrained robust model predictive control via parameter-dependent dynamic output feedback |
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