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Optimal ISA-PID-Based Drug Concentration Control in Cancer Chemotherapy

  • Pandey Vivek*
  • , Pachauri Nikhil
  • , Rani Asha
  • , Singh Vijander
  • *Corresponding author for this work

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    The aim of this work is to design an efficient controller for optimum scheduling of drug during cancer treatment. The conceptual design of ISA-PID controller is applied for this purpose, and its parametric values are optimized by applying the cuckoo search algorithm (CSA) which results to the CSA-ISAPID controller. The simulated annealing (SA) and genetic algorithm (GA) are also used for comparative study. Simulation results reveal that CSA-ISAPID is able to control drug concentration more precisely in comparison with other designed controllers with minimum overshoot and settling time. Further results demonstrate that reduction in cancerous cells is high for CSA-ISAPID.

    Original languageEnglish
    Title of host publicationIntelligent Communication, Control and Devices - Proceedings of ICICCD 2017
    EditorsSushabhan Choudhury, Anita Gehlot, Rajesh Singh
    PublisherSpringer Verlag
    Pages165-171
    Number of pages7
    ISBN (Print)9789811059025
    DOIs
    Publication statusPublished - 2018
    Event2nd International Conference on Intelligent Communication Control and Devices, ICICCD 2017 - Dehradun, India
    Duration: 15-04-201716-04-2017

    Publication series

    NameAdvances in Intelligent Systems and Computing
    Volume624
    ISSN (Print)2194-5357

    Conference

    Conference2nd International Conference on Intelligent Communication Control and Devices, ICICCD 2017
    Country/TerritoryIndia
    CityDehradun
    Period15-04-1716-04-17

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 3 - Good Health and Well-being
      SDG 3 Good Health and Well-being

    All Science Journal Classification (ASJC) codes

    • Control and Systems Engineering
    • General Computer Science

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