<p>In this article, we investigate the concept of regional observability for a class of time-fractional systems characterized by the Hilfer fractional derivative with parameters <InlineEquation ID="IEq5"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="10958_2024_7518_Article_IEq5.gif" Format="GIF" Height="19" Rendition="HTML" Resolution="72" Type="Linedraw" Width="136" /> </InlineMediaObject> <EquationSource Format="TEX">\((\alpha , \beta ) \in ]1,2[\times [0,1]\)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <mo stretchy="false">(</mo> <mi>α</mi> <mo>,</mo> <mi>β</mi> <mo stretchy="false">)</mo> <mo>∈</mo> <mo stretchy="false">]</mo> <mn>1</mn> <mo>,</mo> <mn>2</mn> <mo stretchy="false">[</mo> <mo>×</mo> <mo stretchy="false">[</mo> <mn>0</mn> <mo>,</mo> <mn>1</mn> <mo stretchy="false">]</mo> </mrow> </math></EquationSource> </InlineEquation>. We extend the conventional understanding of regional observability, typically applied to classical systems, especially hyperbolic systems, to fractional-order systems. After introducing the essential concepts and definitions, we establish rigorous criteria for both exact and approximate regional observability. To demonstrate the significance of regional analysis, we provide an example of a fractional system that achieves regional observability despite lacking global observability. Afterward, we introduce a methodology for reconstructing the initial state within a specified subregion <InlineEquation ID="IEq6"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="10958_2024_7518_Article_IEq6.gif" Format="GIF" Height="10" Rendition="HTML" Resolution="72" Type="Linedraw" Width="14" /> </InlineMediaObject> <EquationSource Format="TEX">\(\omega\)</EquationSource> <EquationSource Format="MATHML"><math> <mi>ω</mi> </math></EquationSource> </InlineEquation>, of the larger domain <InlineEquation ID="IEq7"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="10958_2024_7518_Article_IEq7.gif" Format="GIF" Height="14" Rendition="HTML" Resolution="72" Type="Linedraw" Width="13" /> </InlineMediaObject> <EquationSource Format="TEX">\(\Omega\)</EquationSource> <EquationSource Format="MATHML"><math> <mi mathvariant="normal">Ω</mi> </math></EquationSource> </InlineEquation>, which leverages the Hilbert Uniqueness Method (HUM). The key idea of this methodology is to reformulate the initial state reconstruction problem as a solvability problem. An algorithm based upon the used approach for reconstructing the initial state in the desired subregion <InlineEquation ID="IEq8"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="10958_2024_7518_Article_IEq6.gif" Format="GIF" Height="10" Rendition="HTML" Resolution="72" Type="Linedraw" Width="14" /> </InlineMediaObject> <EquationSource Format="TEX">\(\omega\)</EquationSource> <EquationSource Format="MATHML"><math> <mi>ω</mi> </math></EquationSource> </InlineEquation> is presented. Finally, we validate our theoretical framework with two successful numerical examples, each employing different sensor types and achieving a reasonable error margin, thus confirming the effectiveness of our approach.</p>

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REGIONAL OBSERVABILITY FOR A SPECIFIC CLASS OF HILFER TIME-FRACTIONAL SYSTEMS WITH ORDER \(\alpha \in ]1, 2[\) AND TYPE \(\beta \in [0,1]\)

  • Hamza Ben Brahim,
  • Khalid Zguaid,
  • Fatima-Zahrae El Alaoui

摘要

In this article, we investigate the concept of regional observability for a class of time-fractional systems characterized by the Hilfer fractional derivative with parameters \((\alpha , \beta ) \in ]1,2[\times [0,1]\) ( α , β ) ] 1 , 2 [ × [ 0 , 1 ] . We extend the conventional understanding of regional observability, typically applied to classical systems, especially hyperbolic systems, to fractional-order systems. After introducing the essential concepts and definitions, we establish rigorous criteria for both exact and approximate regional observability. To demonstrate the significance of regional analysis, we provide an example of a fractional system that achieves regional observability despite lacking global observability. Afterward, we introduce a methodology for reconstructing the initial state within a specified subregion \(\omega\) ω , of the larger domain \(\Omega\) Ω , which leverages the Hilbert Uniqueness Method (HUM). The key idea of this methodology is to reformulate the initial state reconstruction problem as a solvability problem. An algorithm based upon the used approach for reconstructing the initial state in the desired subregion \(\omega\) ω is presented. Finally, we validate our theoretical framework with two successful numerical examples, each employing different sensor types and achieving a reasonable error margin, thus confirming the effectiveness of our approach.