Robust feedback design for combined therapy of cancer

DOI10.1002/oca.2057zbMath1284.93075OpenAlexW1947232938MaRDI QIDQ5408038

Mazen Alamir

Publication date: 8 April 2014

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

Full work available at URL: https://doi.org/10.1002/oca.2057

zbMATH Keywords

parameter uncertaintynonlinear robust controlcombined therapy of cancerguaranteed tumor contractionHamilton-Jacobi-Isaacs PDE's

Mathematics Subject Classification ID

Sensitivity (robustness) (93B35) Control/observation systems governed by partial differential equations (93C20) Feedback control (93B52) Medical applications (general) (92C50)

Related Items (5)

Iterative method for estimating the robust domains of attraction of non-linear systems: application to cancer chemotherapy model with parametric uncertainties ⋮ Probabilistically certified region of attraction of a tumor growth model with combined chemo‐ and immunotherapy ⋮ Learning-based sensitivity analysis and feedback design for drug delivery of mixed therapy of cancer in the presence of high model uncertainties ⋮ On probabilistic certification of combined cancer therapies using strongly uncertain models ⋮ Mixed therapy in cancer treatment for personalized drug administration using model reference adaptive control

Cites Work

• Unnamed Item
• Mixed immunotherapy and chemotherapy of tumors: feedback design and model updating schemes
• A Mathematical Tumor Model with Immune Resistance and Drug Therapy: An Optimal Control Approach
• Robust constrained control algorithm for general batch processes
• Solutions of nonlinear optimal and robust control problems via a mixed collocation/DAE's based algorithm

This page was built for publication: Robust feedback design for combined therapy of cancer