TY - JOUR
T1 - Modified fuzzy adaptive controller applied to nonlinear systems modeled under quasi-ARX neural network
AU - Sutrisno, Imam
AU - Jami'in, Mohammad Abu
AU - Hu, Jinglu
PY - 2014/2/1
Y1 - 2014/2/1
N2 - In this article, a fuzzy adaptive controller approach is presented for nonlinear systems. The proposed quasi-ARX neural network based on Lyapunov learning algorithm is used to update its weight for prediction model as well as to modify fuzzy adaptive controller. The improving performances of the Lyapunov learning algorithm are stable in the learning process of the controller and able to increase the accuracy of the controller as well as fast convergence of error. The simulations are intended to show the effectiveness of the proposed method.
AB - In this article, a fuzzy adaptive controller approach is presented for nonlinear systems. The proposed quasi-ARX neural network based on Lyapunov learning algorithm is used to update its weight for prediction model as well as to modify fuzzy adaptive controller. The improving performances of the Lyapunov learning algorithm are stable in the learning process of the controller and able to increase the accuracy of the controller as well as fast convergence of error. The simulations are intended to show the effectiveness of the proposed method.
KW - Fuzzy adaptive controller
KW - Lyapunov learning algorithm
KW - Quasi-ARX neural network
UR - http://www.scopus.com/inward/record.url?scp=84893825829&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84893825829&partnerID=8YFLogxK
U2 - 10.1007/s10015-013-0137-6
DO - 10.1007/s10015-013-0137-6
M3 - Article
AN - SCOPUS:84893825829
SN - 1433-5298
VL - 19
SP - 22
EP - 26
JO - Artificial Life and Robotics
JF - Artificial Life and Robotics
IS - 1
ER -