Title: Fractional IMC-PI based optimum drug scheduling for cancer chemotherapy

Biography:

Nikhil Pachauri is Co-Founder & Vice President of Quantum Research and Centre of Excellence (QRACE) and currently working as a lecturer in Thapar Institute of Engineering and Technology, Patiala Punjab. Skilled in Matlab, Control Theory, Python, Algorithms, and Research. Strong education professional with a Doctor of Philosophy - Ph.D. focused on Analysis simulation and control of Non-linear process from the University Of Delhi, India. He is the esteemed reviewer of ISA transaction, Elsevier and has published good number of Research papers (SCI/Scopus) in the field of Process control. He is a member of IEEE, a Lifetime member of VIBHA.

Abstract

It is widely known fact, that drug used during chemotherapy has an adverse effect on the patient’s body due to its toxic nature. So, a proper drug scheduling is required in order to minimize the toxic effect of chemotherapeutic drugs. Therefore, in this article a fractional IMC-PI with one design parameter based closed loop control is proposed for effective drug scheduling. Fractional IMC- PI is an amalgamation of fractional calculus and classical internal model control (IMC). For comparative analysis, PID, and two degree of freedom PID control schemes are also implemented. The Owl Search Algorithm (OSA) is used to evaluate the optimum value of design parameter of proposed controller. It is revealed from the simulation results that the FOIMC-PI controller delivers an uninterrupted and specific amount of chemotherapy drug dose into the patient body. Further, it is concluded that proposed controller is more robust towards parametric uncertainty in comparison to other controller.