New Result on Mismatched Double Fuzzy Summation Inequality

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6
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9

초록

This article proposes a new result on mismatched double fuzzy summation inequality. The mismatched double fuzzy summation inequality usually originates from the control system design with using the Takagi-Sugeno (TS) fuzzy model, in which the controller and the system are with mismatched membership functions. Compared with the existing method to deal with the mismatched double fuzzy summation inequality, the proposed one is less conservative and does not introduce additional decision variables. Three examples including the mismatched membership functions of the TS fuzzy control system in the discrete-time case, the continuous-time case and the interval type-2 fuzzy system under state feedback control mechanism are used to show that the new result is less conservative than the existing one.

키워드

Linear matrix inequalities; Takagi-Sugeno model; Symmetric matrices; Training; Nonlinear systems; Nickel; Fuzzy control; Data mining; Artificial intelligence; Vectors; Imperfect premise matching; mismatched double fuzzy summation inequality Takagi-Sugeno (TS) fuzzy systems; mismatched membership function; PRODUCT MODEL REPRESENTATION; CONTROL-SYSTEMS; QLPV MODELS; FEASIBILITY
제목
New Result on Mismatched Double Fuzzy Summation Inequality
저자
Li, Feng; Ni, Zhenghao; Lee, Sangmoon; Shen, Hao
DOI
10.1109/TFUZZ.2025.3554757
발행일
2025-07
유형
Article
저널명
IEEE Transactions on Fuzzy Systems
권
33
호
7
페이지
2376 ~ 2381