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Sampled-Data Observer Design for Space-Varying Distributed Parameter Systems

  • University of Jinan
  • Texas A&M University at Qatar

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

This paper considers the sampled-data observer design problem of space-varying distributed parameter systems (DPSs). By utilizing a Lyapunov functional, a sampled-data observer design is developed by spatial linear matrix inequalities (SLMIs) to guarantee the exponential stability for the estimation error DPS. Furthermore, to solve SLMIs, the sampled-data observer design for space-varying DPSs is formulated as an LMI feasibility problem. Lastly, simulation results of a numerical example are provided to illustrate the effectiveness of the proposed method.

源语言英语
主期刊名Proceedings of the 39th Chinese Control Conference, CCC 2020
编辑Jun Fu, Jian Sun
出版商IEEE Computer Society
1289-1293
页数5
ISBN(电子版)9789881563903
DOI
出版状态已出版 - 7月 2020
活动39th Chinese Control Conference, CCC 2020 - Shenyang, 中国
期限: 27 7月 202029 7月 2020

出版系列

姓名Chinese Control Conference, CCC
2020-July
ISSN(印刷版)1934-1768
ISSN(电子版)2161-2927

会议

会议39th Chinese Control Conference, CCC 2020
国家/地区中国
Shenyang
时期27/07/2029/07/20

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