Controller design for personalized drug administration in cancer therapy: Successive approximation approach

DOI10.1002/oca.2372zbMath1391.93292OpenAlexW2774273870MaRDI QIDQ3176454

Naser Babaei, Metin U. Salamci

Publication date: 20 July 2018

Published in: Optimal Control Applications and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/oca.2372

zbMATH Keywords

optimal controlnonlinear systemsMonte Carlomodel reference adaptive controlchemotherapysuccessive approximation approachcancer treatmentpersonalized drug delivery

Mathematics Subject Classification ID

Monte Carlo methods (65C05) Design techniques (robust design, computer-aided design, etc.) (93B51) Medical applications (general) (92C50) Optimal stochastic control (93E20)

Related Items (4)

Fractional order controllers increase the robustness of closed-loop deep brain stimulation systems ⋮ Predicting the effectiveness of chemotherapy using stochastic ODE models of tumor growth ⋮ The New Approach for Dynamic Optimization with Variability Constraints ⋮ Mixed therapy in cancer treatment for personalized drug administration using model reference adaptive control

This page was built for publication: Controller design for personalized drug administration in cancer therapy: Successive approximation approach