Sampled-data-based dissipative control of T-S fuzzy systems
dc.contributor.author | Zeng, H. | |
dc.contributor.author | Teo, Kok Lay | |
dc.contributor.author | He, Y. | |
dc.contributor.author | Wang, W. | |
dc.date.accessioned | 2018-12-13T09:13:56Z | |
dc.date.available | 2018-12-13T09:13:56Z | |
dc.date.created | 2018-12-12T02:46:42Z | |
dc.date.issued | 2019 | |
dc.identifier.citation | Zeng, 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.uri | http://hdl.handle.net/20.500.11937/72619 | |
dc.identifier.doi | 10.1016/j.apm.2018.08.012 | |
dc.description.abstract |
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.publisher | Elsevier | |
dc.title | Sampled-data-based dissipative control of T-S fuzzy systems | |
dc.type | Journal Article | |
dcterms.source.volume | 65 | |
dcterms.source.startPage | 415 | |
dcterms.source.endPage | 427 | |
dcterms.source.issn | 0307-904X | |
dcterms.source.title | Applied Mathematical Modelling | |
curtin.department | School of Electrical Engineering, Computing and Mathematical Science (EECMS) | |
curtin.accessStatus | Fulltext not available |
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