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Fuzzy-Model-Based Nonfragile Guaranteed Cost Control of Nonlinear Markov Jump Systems
This paper investigates the problem of nonfragile guaranteed cost control for discrete-time Takagi-Sugeno fuzzy Markov jump systems with time-varying delays. With the help of the parallel distributed compensation, a nonfragile fuzzy controller is designed. Then via Lyapunov-Krasovskii functional app...
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Published in: | IEEE transactions on systems, man, and cybernetics. Systems man, and cybernetics. Systems, 2017-08, Vol.47 (8), p.2388-2397 |
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creator | Wu, Zheng-Guang Dong, Shanling Shi, Peng Su, Hongye Huang, Tingwen Lu, Renquan |
description | This paper investigates the problem of nonfragile guaranteed cost control for discrete-time Takagi-Sugeno fuzzy Markov jump systems with time-varying delays. With the help of the parallel distributed compensation, a nonfragile fuzzy controller is designed. Then via Lyapunov-Krasovskii functional approach, sufficient conditions are obtained ensuring that the resulting closed-loop system is asymptotically stable with an upper bound of the guaranteed cost index. The optimal upper bound of the guaranteed cost index and the controller gain can be achieved via the optimization technique. Finally, an example is presented to show the effectiveness of the proposed new design techniques. |
doi_str_mv | 10.1109/TSMC.2017.2675943 |
format | article |
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Systems</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Wu, Zheng-Guang</au><au>Dong, Shanling</au><au>Shi, Peng</au><au>Su, Hongye</au><au>Huang, Tingwen</au><au>Lu, Renquan</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Fuzzy-Model-Based Nonfragile Guaranteed Cost Control of Nonlinear Markov Jump Systems</atitle><jtitle>IEEE transactions on systems, man, and cybernetics. Systems</jtitle><stitle>TSMC</stitle><date>2017-08-01</date><risdate>2017</risdate><volume>47</volume><issue>8</issue><spage>2388</spage><epage>2397</epage><pages>2388-2397</pages><issn>2168-2216</issn><eissn>2168-2232</eissn><coden>ITSMFE</coden><abstract>This paper investigates the problem of nonfragile guaranteed cost control for discrete-time Takagi-Sugeno fuzzy Markov jump systems with time-varying delays. With the help of the parallel distributed compensation, a nonfragile fuzzy controller is designed. Then via Lyapunov-Krasovskii functional approach, sufficient conditions are obtained ensuring that the resulting closed-loop system is asymptotically stable with an upper bound of the guaranteed cost index. The optimal upper bound of the guaranteed cost index and the controller gain can be achieved via the optimization technique. Finally, an example is presented to show the effectiveness of the proposed new design techniques.</abstract><cop>New York</cop><pub>IEEE</pub><doi>10.1109/TSMC.2017.2675943</doi><tpages>10</tpages><orcidid>https://orcid.org/0000-0003-4460-9785</orcidid><orcidid>https://orcid.org/0000-0002-0864-552X</orcidid></addata></record> |
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subjects | Asymptotic properties Compensation Control systems Delays Fuzzy control Fuzzy systems Guaranteed cost control Indexes Markov chains Markov jump systems Markov processes nonfragile control Optimization techniques Takagi–Sugeno (T–S) fuzzy model Time-varying systems Uncertainty Upper bound |
title | Fuzzy-Model-Based Nonfragile Guaranteed Cost Control of Nonlinear Markov Jump Systems |
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