Hybrid gain performance‐based random event‐triggered filter of positive semi‐Markovian jump systems with intermittent sensor faults

This article proposes a new random event‐triggering scheme to design filter of positive semi‐Markovian jump systems with intermittent sensor faults. To obtain a balance of saving network resources and improving system performance, a random event‐triggering mechanism consisting of time‐ and event‐tri...

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Bibliographic Details
Published in:International journal of robust and nonlinear control Vol. 32; no. 3; pp. 1425 - 1452
Main Authors: Zhang, Suhuan, Zhang, Junfeng, Zheng, Gang
Format: Journal Article
Language:English
Published: Bognor Regis Wiley Subscription Services, Inc 01.02.2022
Wiley
Subjects:
Automatic Control Engineering
Computer Science
Faults
intermittent sensor faults
Linear programming
positive semi‐Markovian jump systems
random event‐triggered filter
Sensors
ISSN:1049-8923, 1099-1239
Online Access:Get full text
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Summary:This article proposes a new random event‐triggering scheme to design filter of positive semi‐Markovian jump systems with intermittent sensor faults. To obtain a balance of saving network resources and improving system performance, a random event‐triggering mechanism consisting of time‐ and event‐triggering modes is constructed. A Bernoulli distribution‐based stochastic variable is introduced to orchestrate the switching of two triggering modes. A concept of hybrid gain performance is presented to guarantee that the filter can attenuate the affect from the disturbance and sensor faults. Then, a random event‐triggered filter is designed for positive semi‐Markovian jump systems subject to intermittent sensor faults. Under the designed filter, hybrid gain performance is achieved. Furthermore, the proposed approach is extended to the systems with stochastically incorrect sensor measurement. A linear programming method is employed for describing and computing the presented conditions. Finally, the validity of the results is verified via two examples.
Bibliography:Funding information
Fundamental Research Funds for the Provincial Universities of Zhejiang, GK209907299001‐007; GK219909299001‐002; National Nature Science Foundation of China, 62073111; 62073081; Natural Science Foundation of Zhejiang Province, LY20F030008; Open Research Project of Zhejiang Lab, 2021MC0AB04; Project of Department of Education of Guangdong Province, 2019KZDXM037
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SourceType-Scholarly Journals-1
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ISSN:1049-8923
1099-1239
DOI:10.1002/rnc.5886