2009
DOI: 10.1016/j.fss.2009.02.005
|View full text |Cite
|
Sign up to set email alerts
|

A membership-function-dependent approach for stability analysis and controller synthesis of Takagi–Sugeno models

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
39
0

Year Published

2014
2014
2022
2022

Publication Types

Select...
4
3
1

Relationship

1
7

Authors

Journals

citations
Cited by 96 publications
(39 citation statements)
references
References 20 publications
0
39
0
Order By: Relevance
“…However, there is a drawback of heavy computational burden due to the large number of the variables and conditions. For the method proposed in [41], unfortunately, the operating domain partition heavily depends on the membership function shape and order relation is not a very accurate membership function shape information. In [45,47], the information of membership functions is mainly the global/local boundary information of the membership functions, the numerical relation among all the membership functions was not considered.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…However, there is a drawback of heavy computational burden due to the large number of the variables and conditions. For the method proposed in [41], unfortunately, the operating domain partition heavily depends on the membership function shape and order relation is not a very accurate membership function shape information. In [45,47], the information of membership functions is mainly the global/local boundary information of the membership functions, the numerical relation among all the membership functions was not considered.…”
Section: Introductionmentioning
confidence: 99%
“…In [45,47], the information of membership functions is mainly the global/local boundary information of the membership functions, the numerical relation among all the membership functions was not considered. In this paper, an alternative stability analysis approach using membership function information is proposed that the operating domain of the PFMB control system is partitioned into several sub-domains uniformly which makes the operating domain partition to be more flexible comparing with [41]. Based on the operating domain partition, the regional information of the membership functions are extracted in the subdomains.…”
Section: Introductionmentioning
confidence: 99%
“…However, it is recognized that the common quadratic Lyapunov function is independent of membership functions, which may lead to conservativeness. To further reduce the conservatism in stability analysis, several non-quadratic Lyapunov functions have been proposed, such as piecewise Lyapunov functions [4,5,22] and fuzzy Lyapunov functions [1,2,8,12,15,17,18].…”
Section: Introductionmentioning
confidence: 99%
“…Anyway, unless fuzzy-Lyapunov functions are used (Tanaka, Hori and Wang, 2003;Jaadari, 2013), the basins of attraction proved with LMI's are not membership dependent. This drawback has been addressed in some works like Sala and Ariño (2007b);Bernal, Guerra and Kruszewski (2009), which add membership function information to the LMI problem. Nevertheless, this is an inherent price to pay in extending linear tools for doing nonlinear control.…”
Section: Discussionmentioning
confidence: 99%
“…In addition, the works presented in the references Sala and Ariño (2007b);Bernal, Guerra and Kruszewski (2009), focus on the problem of conservativeness when assuming state independence in the membership functions, mentioned in the above section, and propose ideas in order to add the membership information to the LMI problem.…”
Section: Further Developmentsmentioning
confidence: 99%