@article{edfa04e5c01248c9bfa7d990362ae12d,
title = "Pseudoerror-based self-organizing neuro-fuzzy system",
abstract = "The novel concept of pseudoerrors for a self-organizing neuro-fuzzy system (SO-NFS) is proposed for tracking control problem. To demonstrate the proposed approach, an example of motion control of an auto-warehousing crane system is illustrated, which can move back and forth in x, y, and z directions to access and store cargoes. The proposed SO-NFS shows excellent performance in control of the crane system for different loading conditions and varying distances in all directions.",
keywords = "Clustering, Learning, Neuro-fuzzy system, Parameter identification, Pseudoerror, Random optimization, Self-organization, Structure identification",
author = "Chunshien Li and Lee, {Chun Yi} and Cheng, {Kuo Hsiang}",
note = "Funding Information: Manuscript received September 10, 2000; revised August 23, 2002, October 7, 2003, and February 20, 2004. This work was supported by the National Science Council, Taiwan, R.O.C., under Project NSC90-2213-E-182-011. The authors are with the Intelligent Systems and Applications Laboratory, Department of Electrical Engineering, Chang Gung University, Tao-Yuan 333, Taiwan, R.O.C. (e-mail: jamesli@mail.cgu.edu.tw). Digital Object Identifier 10.1109/TFUZZ.2004.836086",
year = "2004",
month = dec,
doi = "10.1109/TFUZZ.2004.836086",
language = "???core.languages.en_GB???",
volume = "12",
pages = "812--814",
journal = "IEEE Transactions on Fuzzy Systems",
issn = "1063-6706",
number = "6",
}