@inproceedings{658d9d36bcfc4198860c5c3ae4e25fc3,
title = "A novel model predictive control strategy in modified PLS framework",
abstract = "A data-driven model predictive control (MPC) in modified partial least squares (PLS) framework is proposed in this paper after a brief summary of MPC strategy in PLS framework. A theoretical comparison between data-driven MPC strategy in these two framework is presented, which demonstrates that MPC in modified PLS framework benefits in both computation complexity and robustness. The feature of modeling rapidly makes it possible to update the correlation model online. The reliability of the model is guaranteed by the model update strategy to a certain degree. Performance of the proposed control strategy is verified through simulations of a numerical example. It can be illuminated from the simulation that the proposed method performances well.",
keywords = "Data-driven, Model predictive control (MPC), Modified partial least squares(PLS)",
author = "Tianyi Gao and Shen Yin",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 7th International Conference on Intelligent Control and Information Processing, ICICIP 2016 ; Conference date: 01-12-2016 Through 04-12-2016",
year = "2017",
month = mar,
day = "23",
doi = "10.1109/ICICIP.2016.7885884",
language = "英语",
series = "7th International Conference on Intelligent Control and Information Processing, ICICIP 2016 - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "105--110",
booktitle = "7th International Conference on Intelligent Control and Information Processing, ICICIP 2016 - Proceedings",
address = "美国",
}