A novel approach to output feedback control of fuzzy stochastic systems
This paper investigates the problem of Hankel-norm output feedback controller design for a class of T–S fuzzy stochastic systems. The full-order output feedback controller design technique with the Hankel-norm performance is proposed by the fuzzy-basis-dependent Lyapunov function approach and the co...
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| Veröffentlicht in: | Automatica (Oxford) 2014-12, Vol.50 (12), p.3268-3275 |
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| creator | Su, Xiaojie Wu, Ligang Shi, Peng Song, Yong-Duan |
| description | This paper investigates the problem of Hankel-norm output feedback controller design for a class of T–S fuzzy stochastic systems. The full-order output feedback controller design technique with the Hankel-norm performance is proposed by the fuzzy-basis-dependent Lyapunov function approach and the conversion on the Hankel-norm controller parameters. Sufficient conditions are established to design the controllers such that the resulting closed-loop system is stochastically stable and satisfies a prescribed performance. The desired output feedback controller can be obtained by solving a convex optimization problem, which can be efficiently solved by standard numerical algorithms. Finally, a Henon map system is used to illustrate the effectiveness of the proposed techniques. |
| doi_str_mv | 10.1016/j.automatica.2014.10.053 |
| format | Article |
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Systems</subject><subject>Design engineering</subject><subject>Exact sciences and technology</subject><subject>Fuzzy</subject><subject>Fuzzy logic</subject><subject>Fuzzy set theory</subject><subject>Fuzzy systems</subject><subject>Numerical analysis</subject><subject>Output feedback</subject><subject>Output feedback control</subject><subject>Stochastic stability</subject><subject>Stochastic systems</subject><issn>0005-1098</issn><issn>1873-2836</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><recordid>eNqFkE1PwzAMhiMEEuPjP-SCxKUjadouPQKCgYTEBc6R6ziio2tGkiKNX0-mIThysmy_9ms_jHEp5lLI5mo1hyn5NaQeYV4KWeXyXNTqgM2kXqii1Ko5ZDMhRF1I0epjdhLjKqeV1OWMLa_56D9p4LDZBA_4xpPnfkqbKXFHZDvAd45-TMEP3Dvupq-vLY_J4xvE7MnjNiZaxzN25GCIdP4TT9nr_d3L7UPx9Lx8vL1-KrCqZSrAtQ6qDhaddlYqsqWutLYOHXWqJCyha7pWSCUsWmE7jZVVFrSQolFKdeqUXe735ms_JorJrPuINAwwkp-ikU3T6qauWpWlei_F4GMM5Mwm9GsIWyOF2bEzK_PHzuzY7TqZXR69-HGBiDC4ACP28Xe-bDO9elFl3c1eR_nlz56CidjTiGT7QJiM9f3_Zt_LOYvh</recordid><startdate>20141201</startdate><enddate>20141201</enddate><creator>Su, Xiaojie</creator><creator>Wu, Ligang</creator><creator>Shi, Peng</creator><creator>Song, Yong-Duan</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>20141201</creationdate><title>A novel approach to output feedback control of fuzzy stochastic systems</title><author>Su, Xiaojie ; Wu, Ligang ; Shi, Peng ; Song, Yong-Duan</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c451t-af9fa4ba7b8fd13ed28488dfcfeb32ec2ab6b90130dcd0db8c4d3da80106333b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Applied sciences</topic><topic>Automation</topic><topic>Computer science; control theory; systems</topic><topic>Control system synthesis</topic><topic>Control systems</topic><topic>Control theory. Systems</topic><topic>Design engineering</topic><topic>Exact sciences and technology</topic><topic>Fuzzy</topic><topic>Fuzzy logic</topic><topic>Fuzzy set theory</topic><topic>Fuzzy systems</topic><topic>Numerical analysis</topic><topic>Output feedback</topic><topic>Output feedback control</topic><topic>Stochastic stability</topic><topic>Stochastic systems</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Su, Xiaojie</creatorcontrib><creatorcontrib>Wu, Ligang</creatorcontrib><creatorcontrib>Shi, Peng</creatorcontrib><creatorcontrib>Song, Yong-Duan</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>Su, Xiaojie</au><au>Wu, Ligang</au><au>Shi, Peng</au><au>Song, Yong-Duan</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A novel approach to output feedback control of fuzzy stochastic systems</atitle><jtitle>Automatica (Oxford)</jtitle><date>2014-12-01</date><risdate>2014</risdate><volume>50</volume><issue>12</issue><spage>3268</spage><epage>3275</epage><pages>3268-3275</pages><issn>0005-1098</issn><eissn>1873-2836</eissn><coden>ATCAA9</coden><abstract>This paper investigates the problem of Hankel-norm output feedback controller design for a class of T–S fuzzy stochastic systems. 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| ispartof | Automatica (Oxford), 2014-12, Vol.50 (12), p.3268-3275 |
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| source | Elsevier ScienceDirect Journals |
| subjects | Applied sciences Automation Computer science control theory systems Control system synthesis Control systems Control theory. Systems Design engineering Exact sciences and technology Fuzzy Fuzzy logic Fuzzy set theory Fuzzy systems Numerical analysis Output feedback Output feedback control Stochastic stability Stochastic systems |
| title | A novel approach to output feedback control of fuzzy stochastic systems |
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