Event-Triggered Filter Design of Positive Systems With State Saturation

This article deals with event-triggered filter design of positive systems subject to state saturation. An event-triggering condition in the form of 1-norm is established based on the error and the measurable output. Under the presented event-triggering condition, the filter systems are transformed i...

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Published inIEEE systems journal Vol. 15; no. 3; pp. 4281 - 4292
Main Authors Zhang, Junfeng, Raissi, Tarek, Shao, Yu, Cai, Xiushan
Format Journal Article
LanguageEnglish
Published New York IEEE 01.09.2021
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
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ISSN1932-8184
1937-9234
1937-9234
1932-8184
DOI10.1109/JSYST.2020.3019489

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Abstract This article deals with event-triggered filter design of positive systems subject to state saturation. An event-triggering condition in the form of 1-norm is established based on the error and the measurable output. Under the presented event-triggering condition, the filter systems are transformed into interval uncertain systems. The positivity of the filter and error dynamics is achieved by considering the lower bound of the interval systems. Using a linear copositive Lyapunov function, the stability is guaranteed by considering the upper bound of the interval systems. By virtue of linear programming, an <inline-formula><tex-math notation="LaTeX">\ell _1</tex-math></inline-formula>-gain filter is designed for the systems subject to exogenous disturbance. Then, multiplicative and additive gain fluctuations are introduced. Two classes of nonfragile filters are proposed, and a cone is constructed to guarantee that the states of the systems with state saturation can keep inside it. Finally, two examples are given to illustrate the effectiveness of the proposed approach.
AbstractList This article deals with event-triggered filter design of positive systems subject to state saturation. An event-triggering condition in the form of 1-norm is established based on the error and the measurable output. Under the presented event-triggering condition, the filter systems are transformed into interval uncertain systems. The positivity of the filter and error dynamics is achieved by considering the lower bound of the interval systems. Using a linear copositive Lyapunov function, the stability is guaranteed by considering the upper bound of the interval systems. By virtue of linear programming, an [Formula Omitted]-gain filter is designed for the systems subject to exogenous disturbance. Then, multiplicative and additive gain fluctuations are introduced. Two classes of nonfragile filters are proposed, and a cone is constructed to guarantee that the states of the systems with state saturation can keep inside it. Finally, two examples are given to illustrate the effectiveness of the proposed approach.
This article deals with event-triggered filter design of positive systems subject to state saturation. An event-triggering condition in the form of 1-norm is established based on the error and the measurable output. Under the presented event-triggering condition, the filter systems are transformed into interval uncertain systems. The positivity of the filter and error dynamics is achieved by considering the lower bound of the interval systems. Using a linear copositive Lyapunov function, the stability is guaranteed by considering the upper bound of the interval systems. By virtue of linear programming, an l 1 -gain filter is designed for the systems subject to exogenous disturbance. Then, multiplicative and additive gain fluctuations are introduced. Two classes of nonfragile filters are proposed, and a cone is constructed to guarantee that the states of the systems with state saturation can keep inside it. Finally, two examples are given to illustrate the effectiveness of the proposed approach.
This article deals with event-triggered filter design of positive systems subject to state saturation. An event-triggering condition in the form of 1-norm is established based on the error and the measurable output. Under the presented event-triggering condition, the filter systems are transformed into interval uncertain systems. The positivity of the filter and error dynamics is achieved by considering the lower bound of the interval systems. Using a linear copositive Lyapunov function, the stability is guaranteed by considering the upper bound of the interval systems. By virtue of linear programming, an <inline-formula><tex-math notation="LaTeX">\ell _1</tex-math></inline-formula>-gain filter is designed for the systems subject to exogenous disturbance. Then, multiplicative and additive gain fluctuations are introduced. Two classes of nonfragile filters are proposed, and a cone is constructed to guarantee that the states of the systems with state saturation can keep inside it. Finally, two examples are given to illustrate the effectiveness of the proposed approach.
Author Cai, Xiushan
Shao, Yu
Zhang, Junfeng
Raissi, Tarek
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Snippet This article deals with event-triggered filter design of positive systems subject to state saturation. An event-triggering condition in the form of 1-norm is...
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SubjectTerms Additives
Automatic
Automation
Engineering Sciences
Error analysis
Event-triggered filter
Filter design (mathematics)
Liapunov functions
linear copositive Lyapunov function
Linear programming
Loss measurement
Lower bounds
Lyapunov methods
positive systems
Saturation
Stability criteria
state saturation
Symmetric matrices
Upper bounds
Title Event-Triggered Filter Design of Positive Systems With State Saturation
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