@article{457b9350209d4827b22260adc08685e8,
title = "Observer-based adaptive fuzzy-neural control for unknown nonlinear dynamical systems",
abstract = "In this paper, an observer-based adaptive fuzzy-neural controller for a class of unknown nonlinear dynamical systems is developed. The observer-based output feedback control law and update law to tune on-line the weighting factors of the adaptive fuzzy-neural controller are derived. The total states of the nonlinear system are not assumed to be available for measurement. Also, the unknown nonlinearities of the nonlinear dynamical systems are not restricted to the system output only. The overall adaptive scheme guarantees that all signals involved are bounded. Simulation results demonstrate the applicability of the proposed method in order to achieve desired performance.",
author = "Leu, {Yih Guang} and Lee, {Tsu Tian} and Wang, {Wei Yen}",
note = "Funding Information: Manuscript received December 12, 1998; revised April 24, 1999. This work was supported by the National Science Council under Grant NSC 87-2213-E-011-080.This paper was recommended by Associate Editor C. P. Neuman. Y.-G. Leu and T.-T. Lee are with the Department of Electrical Engineering, National Taiwan University of Science and Technology, Taipei 106, Taiwan, R.O.C. (e-mail: leu@event.ee.ntust.edu.tw; ttlee@mouse.ee.ntust.edu.tw). W.-Y. Wang is with the Department of Business Mathematics, Soochow University, Taipei 100, Taiwan, R.O.C. (e-mail: wayne@bmath.scu.edu.tw). Publisher Item Identifier S 1083-4419(99)07943-1.",
year = "1999",
doi = "10.1109/3477.790441",
language = "English",
volume = "29",
pages = "583--591",
journal = "IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics",
issn = "1083-4419",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
number = "5",
}