Title :
On-line tuning of fuzzy-neural network for adaptive control of nonlinear dynamical systems
Author :
Leu, Yih-Guang ; Lee, Tsu-Tian ; Wang, Wei-Yen
Author_Institution :
Dept. of Electr. Eng., Nat. Taiwan Inst. of Technol., Taipei, Taiwan
fDate :
12/1/1997 12:00:00 AM
Abstract :
The adaptive fuzzy-neural controllers tuned online for a class of unknown nonlinear dynamical systems are proposed. To approximate the unknown nonlinear dynamical systems, the fuzzy-neural approximator is established. Furthermore, the control law and update law to tune on-line both the B-spline membership functions and the weighting factors of the adaptive fuzzy-neural controller are derived. Therefore, the control performance of the controller is improved. Several examples are simulated in order to confirm the effectiveness and applicability of the proposed methods in this paper
Keywords :
adaptive control; controllers; fuzzy control; fuzzy neural nets; nonlinear dynamical systems; tuning; B-spline membership functions; adaptive control; control law; fuzzy-neural approximator; fuzzy-neural network; nonlinear dynamical systems; online tuning; weighting factors; Adaptive control; Control systems; Fuzzy control; Fuzzy logic; Neural networks; Nonlinear control systems; Nonlinear dynamical systems; Nonlinear systems; Programmable control; Spline;
Journal_Title :
Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on
DOI :
10.1109/3477.650065
