Open AccessOptimal control problems with time delays: Two case studies in biomedicine
Author(s) -
Laurenz Göllmann,
Helmut Maurer
Publication year - 2018
Publication title -
mathematical biosciences and engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.451
H-Index - 45
eISSN - 1551-0018
pISSN - 1547-1063
DOI - 10.3934/mbe.2018051
Subject(s) - optimal control , control theory (sociology) , discretization , control (management) , biomedicine , control variable , differential (mechanical device) , mathematics , computer science , mathematical optimization , state variable , artificial intelligence , bioinformatics , engineering , mathematical analysis , statistics , physics , biology , aerospace engineering , thermodynamics
There exists an extensive literature on delay differential models in biology and biomedicine, but only a few papers study such models in the framework of optimal control theory. In this paper, we consider optimal control problems with multiple time delays in state and control variables and present two applications in biomedicine. After discussing the necessary optimality conditions for delayed optimal control problems with control-state constraints, we propose discretization methods by which the delayed optimal control problem is transformed into a large-scale nonlinear programming problem. The first case study is concerned with the delay differential model in [21] describing the tumour-immune response to a chemo-immuno-therapy. Assuming L¹-type objectives, which are linear in control, we obtain optimal controls of bang-bang type. In the second case study, we introduce a control variable in the delay differential model of Hepatitis B virus infection developed in [7]. For L¹-type objectives we obtain extremal controls of bang-bang type.