@inbook{f3dfbb84d9e849519087f4b61039e6d9,
title = "Tracking control design for positive T-S fuzzy systems under H∞ Performance",
abstract = "This paper is dedicated to study the tracking control problem of the positive T-S Fuzzy systems under H∞ performance. Compared with general systems, the limitation of the positive systems will bring non-convex conditions into the stability analysis. In order to overcome the challenge brought by the transformation of non-convex conditions into convex conditions, a feasible solution is presented. In addition, by using the piecewise-linear membership functions (PLMFs) technology, more effective information of membership functions (MFs) is introduced, which effectively weakens the conservativeness of the stability conditions and achieves satisfactory tracking results. Ultimately, a simulation example is shown to confirm the reliability of the design method.",
keywords = "HPerformance, PLMFs, Positive T-S Fuzzy Systems, Tracking Control",
author = "Lining Fu and Fucai Liu and Aiwen Meng and Lam, {H. K.} and Jilong Xu",
note = "Funding Information: This work was supported by Natural Science Foundation of Hebei Province under Project Number F2019203505 and Kings College London. Publisher Copyright: {\textcopyright} 2021 The authors and IOS Press.; 7th International Conference on Fuzzy Systems and Data Mining, FSDM 2021 ; Conference date: 26-10-2021 Through 29-10-2021",
year = "2021",
month = oct,
day = "14",
doi = "10.3233/FAIA210197",
language = "English",
series = "Frontiers in Artificial Intelligence and Applications",
publisher = "IOS Press BV",
pages = "257--263",
editor = "Tallon-Ballesteros, {Antonio J.}",
booktitle = "Fuzzy Systems and Data Mining VII - Proceedings of FSDM 2021",
address = "Netherlands",
}