TY - JOUR
T1 - Output-feedback control of nonlinear systems using direct adaptive fuzzy-neural controller
AU - Wang, Wei Yen
AU - Leu, Yih Guang
AU - Lee, Tsu Tian
N1 - Funding Information:
This work was supported by the National Science Council, Taiwan, under Grant NSC 89-2213-E-031-008.
PY - 2003/12/1
Y1 - 2003/12/1
N2 - In this paper, a direct adaptive fuzzy-neural output-feedback controller (DAFOC) for a class of uncertain nonlinear systems is developed under the constraint that only the system output is available for measurement. An output feedback control law and an update law are derived for on-line tuning the weighting factors of the DAFOC. By using strictly positive-real Lyapunov theory, the stability of the closed-loop system compensated by the DAFOC can be verified. Moreover, the proposed overall control scheme guarantees that all signals involved are bounded and the output of the closed-loop system asymptotically tracks the desired output trajectory. To demonstrate the effectiveness of the proposed method, simulation results are illustrated in this paper.
AB - In this paper, a direct adaptive fuzzy-neural output-feedback controller (DAFOC) for a class of uncertain nonlinear systems is developed under the constraint that only the system output is available for measurement. An output feedback control law and an update law are derived for on-line tuning the weighting factors of the DAFOC. By using strictly positive-real Lyapunov theory, the stability of the closed-loop system compensated by the DAFOC can be verified. Moreover, the proposed overall control scheme guarantees that all signals involved are bounded and the output of the closed-loop system asymptotically tracks the desired output trajectory. To demonstrate the effectiveness of the proposed method, simulation results are illustrated in this paper.
KW - Direct adaptive control
KW - Fuzzy-neural control
KW - Nonlinear systems
KW - Output feedback control
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U2 - 10.1016/S0165-0114(02)00519-5
DO - 10.1016/S0165-0114(02)00519-5
M3 - Article
AN - SCOPUS:0142216205
SN - 0165-0114
VL - 140
SP - 341
EP - 358
JO - Fuzzy Sets and Systems
JF - Fuzzy Sets and Systems
IS - 2
ER -