@inproceedings{5010daf1b1ba42dc9e4ed4082fd38459,
title = "Three-degree-of-freedom dynamic model based IT2RFNN control for gantry position stage",
abstract = "A three-degree-of-freedom (3-DOF) dynamic model based interval type-2 recurrent fuzzy neural network (IT2RFNN) control system is proposed in this study for a gantry position stage. To consider the effect of inter-axis mechanical coupling, a Lagrangian equation based 3-DOF dynamic model for gantry position stage is derived first. Then, to minimize the synchronous error and tracking error of the gantry position stage, the 3-DOF dynamic model based IT2RFNN control system is proposed. In this approach, the adaptive learning algorithms of the IT2RFNN on-line are derived from the Lyapunov stability theorem. Finally, some experimental results of optical inspection application are illustrated to show the validity of the proposed control approach.",
keywords = "Gantry position stage, Interval type-2 fuzzy logic system, Lagrangian equation",
author = "Chou, {Po Huan} and Lin, {Faa Jeng} and Chen, {Chin Sheng} and Lee, {Feng Chi}",
year = "2013",
doi = "10.4028/www.scientific.net/AMM.416-417.554",
language = "???core.languages.en_GB???",
isbn = "9783037858639",
series = "Applied Mechanics and Materials",
pages = "554--558",
booktitle = "Linear Drives for Industry Applications IX",
note = "9th International Symposium on Linear Drives for Industry Applications, LDIA 2013 ; Conference date: 07-07-2013 Through 10-07-2013",
}