T-N-L Interval Observer Design for Linear Continuous Time Invariant Systems with $L_{\infty}$ Performance

This paper addresses the design problem of interval observers for Linear Continuous-Time Invariant Systems (LCTIS) in the set-membership framework. To achieve this, weighted matrices have been introduced to obtain a new structure for interval observers. This provides greater design flexibility and reduces the conservatism due to uncertainties. By solving Linear Matrix Inequalities (LMIs), observer gains are determined based on the use of a candidate Lyapunov function, ensuring both stability and cooperativity. In order to improve the interval estimation accuracy, an <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$L_{\infty}$</tex> approach is then applied, compensating the measurement noise and disturbances' effects. Finally, numerical simulations evaluate the proposed technique, demonstrating its effectiveness.

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Publication Details

Published
2024-10-31
DOI
https://doi.org/10.1109/imc-ssgp63352.2024.10919576
Citations
1
Primary Topic
Stability and Control of Uncertain Systems
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article
Field-Weighted Citation Impact
0.33
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article

T-N-L Interval Observer Design for Linear Continuous Time Invariant Systems with $L_{\infty}$ Performance

Tarek Raïssi, Haifa Ethabet, Leila Dadi, Mohamed Aoun
1 citations
Stability and Control of Uncertain Systems
0.33
article

T-N-L Interval Observer Design for Linear Continuous Time Invariant Systems with $L_{\infty}$ Performance

Tarek Raïssi, Haifa Ethabet, Leila Dadi, Mohamed Aoun
article en
1 citations

Abstract

This paper addresses the design problem of interval observers for Linear Continuous-Time Invariant Systems (LCTIS) in the set-membership framework. To achieve this, weighted matrices have been introduced to obtain a new structure for interval observers. This provides greater design flexibility and reduces the conservatism due to uncertainties. By solving Linear Matrix Inequalities (LMIs), observer gains are determined based on the use of a candidate Lyapunov function, ensuring both stability and cooperativity. In order to improve the interval estimation accuracy, an <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$L_{\infty}$</tex> approach is then applied, compensating the measurement noise and disturbances' effects. Finally, numerical simulations evaluate the proposed technique, demonstrating its effectiveness.

Conservatoire National des Arts et Métiers (FR), University of Gabès (TN)
Openalex Percentile: Top 36%
Stability and Control of Uncertain Systems
0.33
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