Optimal Control for a Class of Compartmental Models in Cancer Chemotherapy
نویسندگان
چکیده
We consider a general class of mathematical models P for cancer chemotherapy described as optimal control problems over a fixed horizon with dynamics given by a bilinear system and an objective which is linear in the control. Several twoand three-compartment models considered earlier fall into this class. While a killing agent which is active during cell division constitutes the only control considered in the two-compartment model, Model A, also two three-compartment models, Models B and C, are analyzed, which consider a blocking agent and a recruiting agent, respectively. In Model B a blocking agent which slows down cell growth during the synthesis allowing in consequence the synchronization of the neoplastic population is added. In Model C the recruitment of dormant cells from the quiescent phase to enable their efficient treatment by a cytotoxic drug is included. In all models the cumulative effect of the killing agent is used to model the negative effect of the treatment on healthy cells. For each model it is shown that singular controls are not optimal. Then sharp necessary and sufficient optimality conditions for bang-bang controls are given for the general class of models P and illustrated with numerical examples.
منابع مشابه
Mathematical Modeling of Cancer Cells and Chemotherapy Protocol Dealing Optimization Using Fuzzy Differential Equations And Lypunov Stability Criterion
Mathematical models can simulate the growth and proliferation of cells in the interaction with healthy cells, the immune system and measure the toxicity of drug and its effects on healthy tissue pay. One of the main goals of modeling the structure and growth of cancer cells is to find a control model suitable for administration among patients. In this study, a new mathematical model is designed...
متن کاملReinforcement learning based feedback control of tumor growth by limiting maximum chemo-drug dose using fuzzy logic
In this paper, a model-free reinforcement learning-based controller is designed to extract a treatment protocol because the design of a model-based controller is complex due to the highly nonlinear dynamics of cancer. The Q-learning algorithm is used to develop an optimal controller for cancer chemotherapy drug dosing. In the Q-learning algorithm, each entry of the Q-table is updated using data...
متن کاملThe Effectiveness of Existential Psychotherapy on Psychological Capital and Affective Control in Cancer Patients Undergoing Chemotherapy
Introduction: In addition to the physical problems caused by the disease and the treatment process, cancer patients also face several psychological and emotional consequences that existential psychotherapy may be effective in this regard. Therefore, the present study aimed to determine the effectiveness of existential psychotherapy on psychological capital and affective control in cancer patien...
متن کاملThe Effect of N-Acetylcysteine Administration to Prevent Anthracycline-Induced Cardiotoxicity in Breast Cancer Patients
Introduction: Anthracyclines are one of the classes of chemotherapy drugs that are widely used to treat many types of cancers including breast cancer. Taking this class of medications has a significant relationship with cardiac dysfunction. N-acetylcysteine has antioxidant properties and may be effective in preventing cardiac dysfunctions. In this study, we investigated the effect of N-acetylc...
متن کاملMathematical Model for Transmission Dynamics of Hepatitus C Virus with Optimal Control Strategies
An epidemic model with optimal control strategies was investigated for Hepatitus C Viral disease that can be transmitted through infected individuals. In this study, we used a deterministic compartmental model for assessing the effect of different optimal control strategies for controlling the spread of Hepatitus C disease in the community. Stability theory of differential equations is us...
متن کامل