Linear gaussian systems and event-based state estimation

Dawei Shi; Ling Shi; Tongwen Chen

doi:10.1007/978-3-319-26606-0_3

Linear gaussian systems and event-based state estimation

Dawei Shi^*, Ling Shi, Tongwen Chen

^*此作品的通讯作者

自动化学院

科研成果: 书/报告/会议事项章节 › 章节 › 同行评审

6 引用（Scopus）

摘要

Starting from this chapter, we look into the problems in event-based estimator design. Before moving onto the detailed discussions of the technical approaches utilized, we first introduce the basic components and ideas in event-based estimation in this chapter. In general, an event-based state estimation system (see Fig.3.1) is composed of four parts: the process to be estimated, the sensors, the event-triggering scheme and the estimator.

源语言	英语
主期刊名	Studies in Systems, Decision and Control
出版商	Springer International Publishing
页	33-46
页数	14
DOI	https://doi.org/10.1007/978-3-319-26606-0_3
出版状态	已出版 - 2016

出版系列

姓名	Studies in Systems, Decision and Control
卷	41
ISSN（印刷版）	2198-4182
ISSN（电子版）	2198-4190

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10.1007/978-3-319-26606-0_3

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Shi, D., Shi, L., & Chen, T. (2016). Linear gaussian systems and event-based state estimation. 在 Studies in Systems, Decision and Control (页码 33-46). (Studies in Systems, Decision and Control; 卷 41). Springer International Publishing. https://doi.org/10.1007/978-3-319-26606-0_3

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Linear gaussian systems and event-based state estimation

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