Interval Observer Design Method for Uncertain Linear Impulsive Systems

This paper focuses on the design of interval state observers for uncertain linear im-pulsive systems subject to bounded disturbances and parametric uncertainties. According to positive systems theory, an hybrid interval observer is designed to give upper and lower bounds of the state. The design problem is formulated as Linear Matrix Inequality (LMI) and the efficiencies of the proposed approach are validated through numerical simulations, demonstrating its robustness against bounded uncertainties and disturbances.

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Published
2025-02-17
DOI
https://doi.org/10.1109/ssd64182.2025.10989888
Primary Topic
Advanced Adaptive Filtering Techniques
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article
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article

Interval Observer Design Method for Uncertain Linear Impulsive Systems

Marwa Manita, Rihab Lamouchi, Messaoud Amairi
Advanced Adaptive Filtering Techniques
article

Interval Observer Design Method for Uncertain Linear Impulsive Systems

Marwa Manita, Rihab Lamouchi, Messaoud Amairi
article en

Abstract

This paper focuses on the design of interval state observers for uncertain linear im-pulsive systems subject to bounded disturbances and parametric uncertainties. According to positive systems theory, an hybrid interval observer is designed to give upper and lower bounds of the state. The design problem is formulated as Linear Matrix Inequality (LMI) and the efficiencies of the proposed approach are validated through numerical simulations, demonstrating its robustness against bounded uncertainties and disturbances.

University of Gabès (TN)
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Advanced Adaptive Filtering Techniques
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