Model-based analysis and synthesis of tumor growth under angiogenic inhibition: a case study*

• DOI: 10.3182/20110828-6-it-1002.02107
• Publication Date: 2011-08-28T20:55:44Z
• Authors: Dániel A. Drexler; Levente Kovács; Johanna Sápi; István Harmati; Zoltán Benyó
• Keywords: Linearization

Abstract Anti-angiogenic therapy is a promising method to fight cancer, however the special therapeutic drugs applied are quite expensive. The aim of this paper is to define simple therapeutical guidelines for sufficient treatment with the usage of the least amount of drugs possible with the help of control theory. We analyze a nonlinear tumor growth model, and use optimal control to design Linear Quadratic controller for offline simulations. The linear model is gained by working point linearization, after the examination of the possible operation points.