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Article

State and Parameter Estimation of a Mathematical Carcinoma Model under Chemotherapeutic Treatment

Physiological Research Control Center, Óbuda University, Bécsi Street 96/B, H-1034 Budapest, Hungary
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Appl. Sci. 2020, 10(24), 9046; https://doi.org/10.3390/app10249046
Received: 6 November 2020 / Revised: 5 December 2020 / Accepted: 13 December 2020 / Published: 17 December 2020
(This article belongs to the Special Issue Control and Automation)
One challenging aspect of therapy optimization and application of control algorithms in the field of tumor growth modeling is the limited number of measurable physiological signals—state variables—and the knowledge of model parameters. A possible solution to provide such information is the application of observer or state estimator. One of the most widely applied estimators for nonlinear problems is the extended Kalman filter (EKF). In this study, a moving horizon estimation (MHE)-based observer is developed and compared to an optimized EKF. The observers utilize a third-order tumor growth model. The performance of the observers is tested on measurements gathered from a laboratory mice trial using chemotherapeutic drug. The proposed MHE is designed to be suitable for closed-loop applications and yields simultaneous state and parameter estimation. View Full-Text
Keywords: moving horizon estimation; Kalman filter; parameter estimation; tumor growth estimation moving horizon estimation; Kalman filter; parameter estimation; tumor growth estimation
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MDPI and ACS Style

Siket, M.; Eigner, G.; Drexler, D.A.; Rudas, I.; Kovács, L. State and Parameter Estimation of a Mathematical Carcinoma Model under Chemotherapeutic Treatment. Appl. Sci. 2020, 10, 9046. https://doi.org/10.3390/app10249046

AMA Style

Siket M, Eigner G, Drexler DA, Rudas I, Kovács L. State and Parameter Estimation of a Mathematical Carcinoma Model under Chemotherapeutic Treatment. Applied Sciences. 2020; 10(24):9046. https://doi.org/10.3390/app10249046

Chicago/Turabian Style

Siket, Máté, György Eigner, Dániel A. Drexler, Imre Rudas, and Levente Kovács. 2020. "State and Parameter Estimation of a Mathematical Carcinoma Model under Chemotherapeutic Treatment" Applied Sciences 10, no. 24: 9046. https://doi.org/10.3390/app10249046

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