Optimal control of tumour-immune model with time-delay and immuno-chemotherapy

F. A. Rihan, S. Lakshmanan, H. Maurer

Research output: Contribution to journalArticlepeer-review

43 Citations (Scopus)

Abstract

Herein, we study an optimal control problem of delay differential model to describe the dynamics of tumour-immune interactions in presence of immuno-chemotherapy. The model includes constant delays in the mitotic phase to justify the time required to stimulate the effector cells and for the effector cells to develop a suitable response to the tumour cells. By applying optimal control theory, we seek to minimize the cost associated with the immuno-chemotherapy and to reduce load of of tumour cells. Non-Negativity of the solutions of the model and existence of an optimal control has also been proven. Optimality conditions and characterization of the control are also discussed. We numerically approximate the solution of the optimal control problem by solving the state system forward and adjoint system backward in time. The numerical simulations show that the combination of immuno-chemotherapy protocol reduces the tumour load in few months of therapy.

Original languageEnglish
Pages (from-to)147-165
Number of pages19
JournalApplied Mathematics and Computation
Volume353
DOIs
Publication statusPublished - Jul 15 2019

Keywords

  • DDEs
  • Hamiltonian
  • Immuno-chemotherapy
  • Optimal control
  • Stability
  • Time-delay
  • Tumour cells

ASJC Scopus subject areas

  • Computational Mathematics
  • Applied Mathematics

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