Interval State Estimation of Linear Multicellular Systems

Linear multicellular system is a type of differential inclusion system, which can be deemed as an extension of linear control system with set-valued mapping. As an important issue in existing control systems, interval state estimation has been widely applied in engineering practices. Over the years,...

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Main Authors: Zhaoxia Huang, Jun Liu, Fucai Qian
Format: Article
Language:English
Published: Wiley 2019-01-01
Series:Complexity
Online Access:http://dx.doi.org/10.1155/2019/6438054
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author Zhaoxia Huang
Jun Liu
Fucai Qian
author_facet Zhaoxia Huang
Jun Liu
Fucai Qian
author_sort Zhaoxia Huang
collection DOAJ
description Linear multicellular system is a type of differential inclusion system, which can be deemed as an extension of linear control system with set-valued mapping. As an important issue in existing control systems, interval state estimation has been widely applied in engineering practices. Over the years, the objects of the studies on interval state estimation have been extended from the initial linear time-invariant systems to linear time-varying systems, chaotic systems, feedback linearization systems, and nonlinear Lipschitz systems. However, there is no report on the design of interval observer for linear multicellular system. To make up for this gap, this chapter attempts to explore the design of an interval observer for linear multicellular systems.
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publishDate 2019-01-01
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series Complexity
spelling doaj-art-d83d34c4c638484286b6dfbc75e9f0cb2025-08-20T03:23:51ZengWileyComplexity1076-27871099-05262019-01-01201910.1155/2019/64380546438054Interval State Estimation of Linear Multicellular SystemsZhaoxia Huang0Jun Liu1Fucai Qian2School of Automation and Information Engineering, Xi'an University of Technology, Xi'an 710048, ChinaSchool of Automation and Information Engineering, Xi'an University of Technology, Xi'an 710048, ChinaSchool of Automation and Information Engineering, Xi'an University of Technology, Xi'an 710048, ChinaLinear multicellular system is a type of differential inclusion system, which can be deemed as an extension of linear control system with set-valued mapping. As an important issue in existing control systems, interval state estimation has been widely applied in engineering practices. Over the years, the objects of the studies on interval state estimation have been extended from the initial linear time-invariant systems to linear time-varying systems, chaotic systems, feedback linearization systems, and nonlinear Lipschitz systems. However, there is no report on the design of interval observer for linear multicellular system. To make up for this gap, this chapter attempts to explore the design of an interval observer for linear multicellular systems.http://dx.doi.org/10.1155/2019/6438054
spellingShingle Zhaoxia Huang
Jun Liu
Fucai Qian
Interval State Estimation of Linear Multicellular Systems
Complexity
title Interval State Estimation of Linear Multicellular Systems
title_full Interval State Estimation of Linear Multicellular Systems
title_fullStr Interval State Estimation of Linear Multicellular Systems
title_full_unstemmed Interval State Estimation of Linear Multicellular Systems
title_short Interval State Estimation of Linear Multicellular Systems
title_sort interval state estimation of linear multicellular systems
url http://dx.doi.org/10.1155/2019/6438054
work_keys_str_mv AT zhaoxiahuang intervalstateestimationoflinearmulticellularsystems
AT junliu intervalstateestimationoflinearmulticellularsystems
AT fucaiqian intervalstateestimationoflinearmulticellularsystems