An effective optimal linear quadratic analog tracker for the system with unknown disturbances

Guo Zhen He, Yau Tarng Juang, Jason Sheng Hongsh Tsai, Yun You Lin, Shu Mei Guo, Leang San Shieh, Tzong Jiy Tsai

研究成果: Conference contribution

2 引文 斯高帕斯(Scopus)

摘要

The designs of optimal linear quadratic estimator and tracker for the linear continuous-time systems with unknown disturbances have been improved in this paper. Compared with the advanced robust control design methodologies developed in the literature, the proposed method significantly improves both the unknown input estimation and the servo performance for the systems subject to the unknown disturbances. The aforementioned design objective can be achieved due to the fact that the proposed approach ensures the relative stability in both the unknown input estimation and the servo performance from the theoretical point of view. Besides, based on the equivalent input disturbance principle developed in the literature, the proposed approach is applicable to the system with a class of mismatched input disturbances. Furthermore, the newly proposed unknown input estimation technique is able to extend the recently developed generalized optimal linear quadratic tracker for continuous-time systems with known disturbances to those with unknown disturbances.

原文English
主出版物標題Proceedings - 2017 IEEE International Symposium on Industrial Electronics, ISIE 2017
發行者Institute of Electrical and Electronics Engineers Inc.
頁面412-417
頁數6
ISBN(電子)9781509014125
DOIs
出版狀態Published - 2017 8月 3
事件26th IEEE International Symposium on Industrial Electronics, ISIE 2017 - Edinburgh, Scotland, United Kingdom
持續時間: 2017 6月 182017 6月 21

出版系列

名字IEEE International Symposium on Industrial Electronics

Other

Other26th IEEE International Symposium on Industrial Electronics, ISIE 2017
國家/地區United Kingdom
城市Edinburgh, Scotland
期間17-06-1817-06-21

All Science Journal Classification (ASJC) codes

  • 電氣與電子工程
  • 控制與系統工程

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