Improved sampled data fuzzy controller for nonlinear system: The event-triggered approach Academic Article

abstract

• AbstractThis paper mainly focuses on the stability analysis and sampled data controller synthesis for nonlinear system represented by the TakagiSugeno (TS) fuzzy model. To avoid network congestion and save control resource, the eventtriggered communication strategy is applied. A novel fuzzy timedependent LyapunovKrosovskii functional (LKF) is proposed by compromising the fuzzy membership function and the sampling pattern; an improved stability criterion with less conservativeness and the sampled data controller synthesis manner are proposed with the help of the extended reciprocally convex inequality. Besides that, a collaborative algorithm to optimize the corresponding control variables of sampled data control gain and the eventtriggered communication mechanism is established. Finally, the practical applicability and validity as well as the advantage of the proposed method are illustrated in the simulation part.

authors

• Huang, Tingwen

published proceedings

• ASIAN JOURNAL OF CONTROL

author list (cited authors)

• Tan, L., Li, C., He, X., & Huang, T.

citation count

• 0

complete list of authors

• Tan, Lihua||Li, Chuandong||He, Xing||Huang, Tingwen

publication date

• September 2022

publisher

• Wiley  Publisher

published in

• Asian Journal of Control  Journal

keywords

• Event Triggered
• Fuzzy
• Lyapunov-krosovskii Functional
• Sampled Data

Digital Object Identifier (DOI)

• 10.1002/asjc.2676

start page

• 2603

end page

• 2616

volume

• 24

issue

• 5

URL

• http://dx.doi.org/10.1002/asjc.2676