Novel mixed-triggered filter design for interval type-2 fuzzy nonlinear Markovian jump systems with randomly occurring packet dropouts
This paper is aimed at investigating the problem of mixed-triggered filter design for interval type-2 (IT2) fuzzy nonlinear Markovian jump systems (MJSs) with randomly occurring packet dropouts. First, an IT2 fuzzy nonlinear MJSs model with parameter uncertainties is established by using IT2 fuzzy m...
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| Veröffentlicht in: | Nonlinear dynamics 2019-07, Vol.97 (2), p.1525-1540 |
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| creator | Lu, Zhongda Ran, Guangtao Xu, Fengxia Lu, Junxiao |
| description | This paper is aimed at investigating the problem of mixed-triggered filter design for interval type-2 (IT2) fuzzy nonlinear Markovian jump systems (MJSs) with randomly occurring packet dropouts. First, an IT2 fuzzy nonlinear MJSs model with parameter uncertainties is established by using IT2 fuzzy model, and the fuzzy filter is designed with different premise variables. Second, a novel mixed-triggered scheme is addressed, which can reduce the needless waste of network resources. Then, two Bernoulli stochastic variables are employed, one to randomly switch the different modes of the mixed-triggered scheme, the other to describe the randomly occurring packet dropouts. Next, in order to ensure that IT2 fuzzy filtering error system is asymptotically stable, sufficient conditions are presented. Moreover, the existence conditions for the fuzzy filter are given by the linear matrix inequalities. Finally, simulation results are given to verify the validity of the proposed method. |
| doi_str_mv | 10.1007/s11071-019-05070-x |
| format | Article |
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First, an IT2 fuzzy nonlinear MJSs model with parameter uncertainties is established by using IT2 fuzzy model, and the fuzzy filter is designed with different premise variables. Second, a novel mixed-triggered scheme is addressed, which can reduce the needless waste of network resources. Then, two Bernoulli stochastic variables are employed, one to randomly switch the different modes of the mixed-triggered scheme, the other to describe the randomly occurring packet dropouts. Next, in order to ensure that IT2 fuzzy filtering error system is asymptotically stable, sufficient conditions are presented. Moreover, the existence conditions for the fuzzy filter are given by the linear matrix inequalities. Finally, simulation results are given to verify the validity of the proposed method.</description><identifier>ISSN: 0924-090X</identifier><identifier>EISSN: 1573-269X</identifier><identifier>DOI: 10.1007/s11071-019-05070-x</identifier><language>eng</language><publisher>Dordrecht: Springer Netherlands</publisher><subject>Automotive Engineering ; Classical Mechanics ; Computer simulation ; Control ; Dropouts ; Dynamical Systems ; Engineering ; Filter design (mathematics) ; Fuzzy systems ; Linear matrix inequalities ; Markov processes ; Matrix methods ; Mechanical Engineering ; Nonlinear systems ; Original Paper ; Parameter uncertainty ; Vibration</subject><ispartof>Nonlinear dynamics, 2019-07, Vol.97 (2), p.1525-1540</ispartof><rights>Springer Nature B.V. 2019</rights><rights>Nonlinear Dynamics is a copyright of Springer, (2019). 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First, an IT2 fuzzy nonlinear MJSs model with parameter uncertainties is established by using IT2 fuzzy model, and the fuzzy filter is designed with different premise variables. Second, a novel mixed-triggered scheme is addressed, which can reduce the needless waste of network resources. Then, two Bernoulli stochastic variables are employed, one to randomly switch the different modes of the mixed-triggered scheme, the other to describe the randomly occurring packet dropouts. Next, in order to ensure that IT2 fuzzy filtering error system is asymptotically stable, sufficient conditions are presented. Moreover, the existence conditions for the fuzzy filter are given by the linear matrix inequalities. Finally, simulation results are given to verify the validity of the proposed method.</description><subject>Automotive Engineering</subject><subject>Classical Mechanics</subject><subject>Computer simulation</subject><subject>Control</subject><subject>Dropouts</subject><subject>Dynamical Systems</subject><subject>Engineering</subject><subject>Filter design (mathematics)</subject><subject>Fuzzy systems</subject><subject>Linear matrix inequalities</subject><subject>Markov processes</subject><subject>Matrix methods</subject><subject>Mechanical Engineering</subject><subject>Nonlinear systems</subject><subject>Original Paper</subject><subject>Parameter uncertainty</subject><subject>Vibration</subject><issn>0924-090X</issn><issn>1573-269X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>AFKRA</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNp9kEFv1DAQhS1UJLaFP8DJEmeXsZ1s1kdUtYBUygWk3iyTjBdvEzsdO9tNfwC_m7SLxK2nkZ7ee6P3MfZewrkEaD5mKaGRAqQRUEMD4vCKrWTdaKHW5vaErcCoSoCB2zfsNOcdAGgFmxX7c5P22PMhHLAThcJ2i4Qd96EvSLzDHLaR-0Q8xEXYu56XeUShuJ8eH2ceU-xDREf8m6O7tA8u8t00jDzPueCQ-UMovzm52KWhn3lq24koxC0fXXuHhXeUxjSV_Ja99q7P-O7fPWM_ry5_XHwR198_f734dC1aLU0RXnlfIVZetmiUc90y2oFXHdbKqbXW6lcFulZ16xsHVaWd22w2fq19VxuNRp-xD8fekdL9hLnYXZooLi-tWkgpU1U1LC51dLWUcib0dqQwOJqtBPvE2x5524W3feZtD0tIH0N5fFqI9L_6hdRfdTuHsw</recordid><startdate>20190701</startdate><enddate>20190701</enddate><creator>Lu, Zhongda</creator><creator>Ran, Guangtao</creator><creator>Xu, Fengxia</creator><creator>Lu, Junxiao</creator><general>Springer Netherlands</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>8FE</scope><scope>8FG</scope><scope>ABJCF</scope><scope>AFKRA</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>HCIFZ</scope><scope>L6V</scope><scope>M7S</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><orcidid>https://orcid.org/0000-0003-4046-980X</orcidid></search><sort><creationdate>20190701</creationdate><title>Novel mixed-triggered filter design for interval type-2 fuzzy nonlinear Markovian jump systems with randomly occurring packet dropouts</title><author>Lu, Zhongda ; Ran, Guangtao ; Xu, Fengxia ; Lu, Junxiao</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c319t-f2ff4ee4f1ce92aad071a0f2de52a26332b403525cf7a0443aa888f63fd593e93</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Automotive Engineering</topic><topic>Classical Mechanics</topic><topic>Computer simulation</topic><topic>Control</topic><topic>Dropouts</topic><topic>Dynamical Systems</topic><topic>Engineering</topic><topic>Filter design (mathematics)</topic><topic>Fuzzy systems</topic><topic>Linear matrix inequalities</topic><topic>Markov processes</topic><topic>Matrix methods</topic><topic>Mechanical Engineering</topic><topic>Nonlinear systems</topic><topic>Original Paper</topic><topic>Parameter uncertainty</topic><topic>Vibration</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Lu, Zhongda</creatorcontrib><creatorcontrib>Ran, Guangtao</creatorcontrib><creatorcontrib>Xu, Fengxia</creatorcontrib><creatorcontrib>Lu, Junxiao</creatorcontrib><collection>CrossRef</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Engineering Collection</collection><collection>Engineering Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection><jtitle>Nonlinear dynamics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Lu, Zhongda</au><au>Ran, Guangtao</au><au>Xu, Fengxia</au><au>Lu, Junxiao</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Novel mixed-triggered filter design for interval type-2 fuzzy nonlinear Markovian jump systems with randomly occurring packet dropouts</atitle><jtitle>Nonlinear dynamics</jtitle><stitle>Nonlinear Dyn</stitle><date>2019-07-01</date><risdate>2019</risdate><volume>97</volume><issue>2</issue><spage>1525</spage><epage>1540</epage><pages>1525-1540</pages><issn>0924-090X</issn><eissn>1573-269X</eissn><abstract>This paper is aimed at investigating the problem of mixed-triggered filter design for interval type-2 (IT2) fuzzy nonlinear Markovian jump systems (MJSs) with randomly occurring packet dropouts. 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| subjects | Automotive Engineering Classical Mechanics Computer simulation Control Dropouts Dynamical Systems Engineering Filter design (mathematics) Fuzzy systems Linear matrix inequalities Markov processes Matrix methods Mechanical Engineering Nonlinear systems Original Paper Parameter uncertainty Vibration |
| title | Novel mixed-triggered filter design for interval type-2 fuzzy nonlinear Markovian jump systems with randomly occurring packet dropouts |
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