Information-theoretic multi-time-scale partially observable systems with inspiration from leukemia treatment

Information-theoretic multi-time-scale partially observable systems with inspiration from leukemia treatment

We study a partially observable nonlinear stochastic system with unknown parameters, where the given time scales of the states and measurements may be distinct. The proposed setting is inspired by disease management, particularly leukemia.

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Veröffentlicht in:arXiv.org 2024-02
Hauptverfasser: Chapman, Margaret P, Jensen, Emily, Chan, Steven M, Lessard, Laurent
Format: Artikel
Sprache:eng
Schlagworte:
Computer Science - Systems and Control
Information theory
Leukemia
Nonlinear control
Nonlinear systems
Optimal control
Stochastic processes
Stochastic systems
System identification
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Zusammenfassung:We study a partially observable nonlinear stochastic system with unknown parameters, where the given time scales of the states and measurements may be distinct. The proposed setting is inspired by disease management, particularly leukemia.
ISSN:2331-8422
DOI:10.48550/arxiv.2204.12604