@inproceedings{78fe58a32c4c45d6bfe6716c025ce888,
title = "An Online Recursive Computational Approach for the Closed-Loop Stability Margin of the PnP Process Monitoring and Control Structure",
abstract = "Aiming at the development of real-time control-performance-oriented fault diagnosis and fault-tolerant control, an online recursive computational approach is proposed in this paper for the closed-loop stability margin of the plug-and-play process monitoring and control architecture (PnP-PMCA). The core of the proposed approach is based on the recursive least square (RLS) technique, which avoids the online computation of the matrix inverse. With the proposed approach in this paper, real-time control-performance-oriented fault diagnosis can be achieved. The correctness and the effectiveness of the proposed approach are demonstrated through the case studies on a DC motor benchmark system.",
keywords = "Stability margin, data-driven method, process monitoring., recursive computation",
author = "Tianyu Liu and Hao Luo and Shen Yin and Okyay Kaynak",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 23rd IEEE International Conference on Intelligent Engineering Systems, INES 2019 ; Conference date: 25-04-2019 Through 27-04-2019",
year = "2019",
month = apr,
doi = "10.1109/INES46365.2019.9109520",
language = "英语",
series = "INES 2019 - IEEE 23rd International Conference on Intelligent Engineering Systems, Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "47--52",
booktitle = "INES 2019 - IEEE 23rd International Conference on Intelligent Engineering Systems, Proceedings",
address = "美国",
}