Abstract
This paper proposes a cascade control approach with a 2DOF-PID controller for finding the optimal drug schedule during chemotherapeutic treatment. The cell-cycle nonspecific model of tumor growth for breast cancer is considered. Drug concentration and toxicity are regulated by individual controllers. The main objective of the controller design is to reduce the tumor size with minimum harm to the patient. The problem of diverse objectives in chemotherapy is solved by using the NSGA-II optimization technique. The response by 2DOF-PID and conventional PID approach are compared for the designed model. In addition, the performance of controllers in dealing with parametric uncertainty is also included in this work. The findings suggest that the proposed 2DOF-PID technique performs better.
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Panjwani, B., Mohan, V., Gupta, H., Verma, O.P. (2024). A Cascaded 2DOF-PID Control Technique for Drug Scheduling of Chemotherapy System. In: Verma, O.P., Wang, L., Kumar, R., Yadav, A. (eds) Machine Intelligence for Research and Innovations. MAiTRI 2023. Lecture Notes in Networks and Systems, vol 832. Springer, Singapore. https://doi.org/10.1007/978-981-99-8129-8_7
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DOI: https://doi.org/10.1007/978-981-99-8129-8_7
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Online ISBN: 978-981-99-8129-8
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