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        <dc:title>Guranteed state estimation for dynamical systems: Ellipsoidal techniques</dc:title>
        <dc:creator>Kurzhanski, A.</dc:creator>
        <dc:creator>Sugimoto, K.</dc:creator>
        <dc:creator>Valyi, I.</dc:creator>
        <dc:description>This paper gives a concise description of effective solutions to the guaranteed state estimation problems for dynamic systems with uncertain items being unknown but bounded. It indicates a rather unconventional, rigorous theory for these problems based on the notion of evolution equations of the ‘funnel’ type which could be further transformed - through exact ellipsoidal representations - into algorithmic procedures that allow effective simulation, particularly with computer graphics. the estimation problem is also interpreted as a problem of tracking a partially known system under incomplete measurements.&#13;
&#13;
Mathematically, the technique described in this paper is based on a theory of set-valued evolution equations with the approximation of solutions formulated in terms of set-valued calculus by ellipsoidal-valued functions.</dc:description>
        <dc:publisher>John Wiley &amp; Sons, Ltd.</dc:publisher>
        <dc:date>1994-01</dc:date>
        <dc:type>Article</dc:type>
        <dc:type>PeerReviewed</dc:type>
        <dc:identifier>  Kurzhanski, A. &lt;https://pure.iiasa.ac.at/view/iiasa/2088.html&gt;, Sugimoto, K. &lt;https://pure.iiasa.ac.at/view/iiasa/2428.html&gt;, &amp; Valyi, I. &lt;https://pure.iiasa.ac.at/view/iiasa/2471.html&gt;  (1994).  Guranteed state estimation for dynamical systems: Ellipsoidal techniques.   International Journal of Adaptive Control and Signal Processing 8 (1) 85-101. 10.1002/acs.4480080108 &lt;https://doi.org/10.1002/acs.4480080108&gt;.       </dc:identifier>
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