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dc.contributor.authorZeng, H.
dc.contributor.authorTeo, Kok Lay
dc.contributor.authorHe, Y.
dc.contributor.authorWang, W.
dc.date.accessioned2018-12-13T09:13:56Z
dc.date.available2018-12-13T09:13:56Z
dc.date.created2018-12-12T02:46:42Z
dc.date.issued2019
dc.identifier.citationZeng, H. and Teo, K.L. and He, Y. and Wang, W. 2019. Sampled-data-based dissipative control of T-S fuzzy systems. Applied Mathematical Modelling. 65: pp. 415-427.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/72619
dc.identifier.doi10.1016/j.apm.2018.08.012
dc.description.abstract

© 2018 Elsevier Inc. This paper investigates the problem of sampled-data-based dissipative control of Takagi–Sugeno (T-S) fuzzy systems. The sampling period is assumed to be varying within an interval. By making full use of realistic information about the whole sampling interval, we propose a novel complete sampling-interval-dependent looped function, which depends not only on the interval from x(t) to x(tk) but also on the interval from x(t) to x(tk+1). Based on this function, a sufficient condition is established, ensuring the considered system strictly (Q,S,R)-?-dissipative. Furthermore, a approach to design desired sampled-data controllers is proposed. It is applied to solve the problems of a truck-trailer and an inverted pendulum. From the results obtained, we see that this approach is highly effective.

dc.publisherElsevier
dc.titleSampled-data-based dissipative control of T-S fuzzy systems
dc.typeJournal Article
dcterms.source.volume65
dcterms.source.startPage415
dcterms.source.endPage427
dcterms.source.issn0307-904X
dcterms.source.titleApplied Mathematical Modelling
curtin.departmentSchool of Electrical Engineering, Computing and Mathematical Science (EECMS)
curtin.accessStatusFulltext not available


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