Observer Design for Systems with Unknown Inputs and Missing Measurements

Yang Liu, Zidong Wang, Xiao He, Donghua Zhou

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

Abstract

In this paper, the observer design problem is considered for a class of systems with unknown inputs and missing measurements. A Bernoulli distributed sequence taking values on 0 or 1 is employed to govern possible missing measurements. It is worth mentioning that the effects of the unknown inputs cannot be fully eliminated from the estimation error due to the stochastic nature of the addressed system. In such a case, an observer is established which can decouple the estimation error from the unknown inputs in the mathematical expectation sense. Moreover, the uniform ultimate boundedness of the estimation error is discussed. A simulation example is presented to show the effectiveness of the proposed algorithm.

Original languageEnglish
Title of host publicationProceedings of the 35th Chinese Control Conference
Subtitle of host publicationCCC 2016
EditorsJie Chen, Qianchuan Zhao, Jie Chen
PublisherIEEE Computer Society
Pages1799-1803
Number of pages5
ISBN (Electronic)9789881563910
ISBN (Print)9781509009107
DOIs
Publication statusPublished - 29 Aug 2016
Externally publishedYes
Event35th Chinese Control Conference - Chengdu International Conference Center, Chengdu, China
Duration: 27 Jul 201629 Jul 2016
Conference number: 35
http://tcct.amss.ac.cn/news/CSM/CSM_ccc16.pdf (Link to Conference Information)

Publication series

NameChinese Control Conference, CCC
PublisherIEEE
Volume2016-August
ISSN (Print)2161-2927
ISSN (Electronic)1934-1768

Conference

Conference35th Chinese Control Conference
Abbreviated titleCCC 2016
Country/TerritoryChina
CityChengdu
Period27/07/1629/07/16
Internet address

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