TY - JOUR
T1 - Observer-based adaptive fuzzy-neural control for unknown nonlinear dynamical systems
AU - Leu, Yih Guang
AU - Lee, Tsu Tian
AU - Wang, Wei Yen
N1 - 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: [email protected]; [email protected]). W.-Y. Wang is with the Department of Business Mathematics, Soochow University, Taipei 100, Taiwan, R.O.C. (e-mail: [email protected]). Publisher Item Identifier S 1083-4419(99)07943-1.
PY - 1999
Y1 - 1999
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=0032597812&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=0032597812&partnerID=8YFLogxK
U2 - 10.1109/3477.790441
DO - 10.1109/3477.790441
M3 - Article
AN - SCOPUS:0032597812
SN - 1083-4419
VL - 29
SP - 583
EP - 591
JO - IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
JF - IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
IS - 5
ER -