@inproceedings{68c0653ecbe64970af3392168cda3191,
title = "Self-tuning for a SISO-type fuzzy control based on the relay feedback approach",
abstract = "The chapter describes an alternative of fuzzy-based sliding mode control (FSMC) with a self-adjusting fuzzy system. The introduced auto-tuner is based on the relay control approach where a limit cycle is exhibited at the output of the closed-loop system. The amplitude of oscillations is considered in order to move the centers of membership functions such that the absence of oscillations is assured for the fuzzy controller. Finally, numerical simulations verify the feasibility of the proposed algorithm.",
keywords = "Fuzzy sliding mode control, Relay, Self-tuning fuzzy inference system",
author = "Prieto, {Pablo J.} and Cazarez-Castro, {Nohe R.} and Aguilar, {Luis T.} and Cardenas-Maciel, {Selene L.}",
note = "Publisher Copyright: {\textcopyright} 2019, Springer International Publishing AG, part of Springer Nature.; 5th Workshop on Numerical and Evolutionary Optimization, NEO 2017 ; Conference date: 27-09-2017 Through 29-09-2017",
year = "2019",
doi = "10.1007/978-3-319-96104-0_9",
language = "Ingl{\'e}s",
isbn = "9783319961033",
series = "Studies in Computational Intelligence",
publisher = "Springer Verlag",
pages = "171--186",
editor = "Oliver Schutze and Leonardo Trujillo and Yazmin Maldonado and Paul Valle",
booktitle = "Numerical and Evolutionary Optimization – NEO 2017",
address = "Alemania",
}