TY - GEN
T1 - Quasi-Linear Recurrent Neural Network based Identification and Predictive Control
AU - Li, Dazi
AU - Kang, Tianjiao
AU - Hu, Jinglu
AU - Han, Min
AU - Jin, Qibing
N1 - Funding Information:
This work was supported in part by the National Natural Science Foundation of China under Grant 61573052 and in part by the Beijing Natural Science Foundation under Grant 4182045.
Publisher Copyright:
© 2018 IEEE.
PY - 2018/10/10
Y1 - 2018/10/10
N2 - In this paper, aiming at the cumbersome solution of control law in neural network predictive control algorithm, a quasi-linear neural network identification and predictive control algorithm is proposed. The recurrent neural network is embedded into the quasi-linear model, which can be viewed as a quasi-ARX model macroscopically. In the quasi-linear recurrent neural network predictive control, the solution of the control law only need one-step derivation, which can greatly simplify the solution process of control law. At the same time, the quasi-linear recurrent neural network can effectively restrain the over-fitting problem in the identification process. Theoretical analysis and simulations are given to prove the simplicity and effectiveness of the proposed computing method.
AB - In this paper, aiming at the cumbersome solution of control law in neural network predictive control algorithm, a quasi-linear neural network identification and predictive control algorithm is proposed. The recurrent neural network is embedded into the quasi-linear model, which can be viewed as a quasi-ARX model macroscopically. In the quasi-linear recurrent neural network predictive control, the solution of the control law only need one-step derivation, which can greatly simplify the solution process of control law. At the same time, the quasi-linear recurrent neural network can effectively restrain the over-fitting problem in the identification process. Theoretical analysis and simulations are given to prove the simplicity and effectiveness of the proposed computing method.
KW - control law
KW - prediction control nonlinear system
KW - quasi-linear
KW - recurrent neural network
UR - http://www.scopus.com/inward/record.url?scp=85056556126&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85056556126&partnerID=8YFLogxK
U2 - 10.1109/IJCNN.2018.8489192
DO - 10.1109/IJCNN.2018.8489192
M3 - Conference contribution
AN - SCOPUS:85056556126
T3 - Proceedings of the International Joint Conference on Neural Networks
BT - 2018 International Joint Conference on Neural Networks, IJCNN 2018 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2018 International Joint Conference on Neural Networks, IJCNN 2018
Y2 - 8 July 2018 through 13 July 2018
ER -