Pornchai BumroongsriSoorathep KheawhomMahidol UniversityChulalongkorn University2018-11-232018-11-232015-01-30Engineering Journal. Vol.19, No.1 (2015), 97-106012582812-s2.0-84922551688https://repository.li.mahidol.ac.th/handle/20.500.14594/35912© 2015, ENGINEERING JOURNAL. All rights reserved. In this paper, we consider an application of robust model predictive control to optimal dosing of breast cancer chemotherapy. The model-patient mismatch is handled by computing an ellipsoidal invariant set containing the measured patient’s states at each sampling time. An optimal dose of chemotherapeutic agent is obtained by solving a convex optimization problem subject to linear matrix inequalities. In the case study of simulated patients, the results show that the tumor volume can be reduced to a specified target with up to 30% model-patient mismatch. Moreover, the robust model predictive control algorithm can achieve better treatment results as compared with the nonlinear model predictive control algorithm while the on-line computational time is significantly reduced.Mahidol UniversityEngineeringArticleSCOPUS10.4186/ej.2015.19.1.97