@inproceedings{65cd143ae66a4e1a9885fb8eacb9d761,
title = "New methods for utilization of predictive information in neural network PID controller",
abstract = "In this paper, we analyze the utilization of predictive information in neural network PID controller (NN-PID). Based on the accuracy of predictive model, two novel methods are proposed to improve control performance. When predictive model is high-accuracy, two-step ahead predictive information is incorporated into loss function to adjust the weight of NN. When the predictive model is low-accuracy, only one-step ahead information is used and learning rate is adjusted based on the prediction error. Consequential simulation are conducted with each method.",
keywords = "Loss function, Neural network PID control, Predictive information, Variable learning rate",
author = "Shukun Jia and Liang Wang",
note = "Publisher Copyright: {\textcopyright} 2018, Springer Nature Singapore Pte Ltd.; Chinese Intelligent Systems Conference, CISC 2017 ; Conference date: 14-10-2017 Through 15-10-2017",
year = "2018",
doi = "10.1007/978-981-10-6496-8\_67",
language = "英语",
isbn = "9789811064951",
series = "Lecture Notes in Electrical Engineering",
publisher = "Springer Verlag",
pages = "739--748",
editor = "Junping Du and Weicun Zhang and Yingmin Jia",
booktitle = "Proceedings of 2017 Chinese Intelligent Systems Conference",
address = "德国",
}