A Cascaded 2DOF-PID Control Technique for Drug Scheduling of Chemotherapy System

Bharti Panjwani; Vijay Mohan; Himanshu Gupta; Om Prakash Verma

doi:10.1007/978-981-99-8129-8_7

A Cascaded 2DOF-PID Control Technique for Drug Scheduling of Chemotherapy System

Bharti Panjwani^*
, Vijay Mohan
, Himanshu Gupta
, Om Prakash Verma

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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.

Original language	English
Title of host publication	Machine Intelligence for Research and Innovations - Proceedings of MAiTRI 2023
Editors	Om Prakash Verma, Lipo Wang, Rajesh Kumar, Anupam Yadav
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	71-80
Number of pages	10
ISBN (Print)	9789819981281
DOIs	https://doi.org/10.1007/978-981-99-8129-8_7
Publication status	Published - 2024
Event	1st International Conference on Machine Intelligence for Research and Innovations, MAiTRI 2023 - Jalandhar, India Duration: 01-09-2023 → 03-09-2023

Publication series

Name	Lecture Notes in Networks and Systems
Volume	832
ISSN (Print)	2367-3370
ISSN (Electronic)	2367-3389

Conference

Conference	1st International Conference on Machine Intelligence for Research and Innovations, MAiTRI 2023
Country/Territory	India
City	Jalandhar
Period	01-09-23 → 03-09-23

UN SDGs

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

SDG 3 Good Health and Well-being

All Science Journal Classification (ASJC) codes

Control and Systems Engineering
Signal Processing
Computer Networks and Communications

Access to Document

10.1007/978-981-99-8129-8_7

Cite this

Panjwani, B., Mohan, V., Gupta, H., & Verma, O. P. (2024). A Cascaded 2DOF-PID Control Technique for Drug Scheduling of Chemotherapy System. In O. P. Verma, L. Wang, R. Kumar, & A. Yadav (Eds.), Machine Intelligence for Research and Innovations - Proceedings of MAiTRI 2023 (pp. 71-80). (Lecture Notes in Networks and Systems; Vol. 832). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-99-8129-8_7

Panjwani, Bharti ; Mohan, Vijay ; Gupta, Himanshu et al. / A Cascaded 2DOF-PID Control Technique for Drug Scheduling of Chemotherapy System. Machine Intelligence for Research and Innovations - Proceedings of MAiTRI 2023. editor / Om Prakash Verma ; Lipo Wang ; Rajesh Kumar ; Anupam Yadav. Springer Science and Business Media Deutschland GmbH, 2024. pp. 71-80 (Lecture Notes in Networks and Systems).

@inproceedings{d8b3f6cee88f4beaae0fa339e3c94bac,

title = "A Cascaded 2DOF-PID Control Technique for Drug Scheduling of Chemotherapy System",

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.",

author = "Bharti Panjwani and Vijay Mohan and Himanshu Gupta and Verma, \{Om Prakash\}",

note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.; 1st International Conference on Machine Intelligence for Research and Innovations, MAiTRI 2023 ; Conference date: 01-09-2023 Through 03-09-2023",

year = "2024",

doi = "10.1007/978-981-99-8129-8\_7",

language = "English",

isbn = "9789819981281",

series = "Lecture Notes in Networks and Systems",

publisher = "Springer Science and Business Media Deutschland GmbH",

pages = "71--80",

editor = "Verma, \{Om Prakash\} and Lipo Wang and Rajesh Kumar and Anupam Yadav",

booktitle = "Machine Intelligence for Research and Innovations - Proceedings of MAiTRI 2023",

address = "Germany",

}

Panjwani, B, Mohan, V , Gupta, H & Verma, OP 2024, A Cascaded 2DOF-PID Control Technique for Drug Scheduling of Chemotherapy System. in OP Verma, L Wang, R Kumar & A Yadav (eds), Machine Intelligence for Research and Innovations - Proceedings of MAiTRI 2023. Lecture Notes in Networks and Systems, vol. 832, Springer Science and Business Media Deutschland GmbH, pp. 71-80, 1st International Conference on Machine Intelligence for Research and Innovations, MAiTRI 2023, Jalandhar, India, 01-09-23. https://doi.org/10.1007/978-981-99-8129-8_7

A Cascaded 2DOF-PID Control Technique for Drug Scheduling of Chemotherapy System. / Panjwani, Bharti; Mohan, Vijay ; Gupta, Himanshu et al.
Machine Intelligence for Research and Innovations - Proceedings of MAiTRI 2023. ed. / Om Prakash Verma; Lipo Wang; Rajesh Kumar; Anupam Yadav. Springer Science and Business Media Deutschland GmbH, 2024. p. 71-80 (Lecture Notes in Networks and Systems; Vol. 832).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - A Cascaded 2DOF-PID Control Technique for Drug Scheduling of Chemotherapy System

AU - Panjwani, Bharti

AU - Mohan, Vijay

AU - Gupta, Himanshu

AU - Verma, Om Prakash

N1 - Publisher Copyright: © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

PY - 2024

Y1 - 2024

N2 - 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.

AB - 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.

UR - https://www.scopus.com/pages/publications/85187799895

UR - https://www.scopus.com/pages/publications/85187799895#tab=citedBy

U2 - 10.1007/978-981-99-8129-8_7

DO - 10.1007/978-981-99-8129-8_7

M3 - Conference contribution

AN - SCOPUS:85187799895

SN - 9789819981281

T3 - Lecture Notes in Networks and Systems

SP - 71

EP - 80

BT - Machine Intelligence for Research and Innovations - Proceedings of MAiTRI 2023

A2 - Verma, Om Prakash

A2 - Wang, Lipo

A2 - Kumar, Rajesh

A2 - Yadav, Anupam

PB - Springer Science and Business Media Deutschland GmbH

T2 - 1st International Conference on Machine Intelligence for Research and Innovations, MAiTRI 2023

Y2 - 1 September 2023 through 3 September 2023

ER -

Panjwani B, Mohan V , Gupta H, Verma OP. A Cascaded 2DOF-PID Control Technique for Drug Scheduling of Chemotherapy System. In Verma OP, Wang L, Kumar R, Yadav A, editors, Machine Intelligence for Research and Innovations - Proceedings of MAiTRI 2023. Springer Science and Business Media Deutschland GmbH. 2024. p. 71-80. (Lecture Notes in Networks and Systems). doi: 10.1007/978-981-99-8129-8_7

A Cascaded 2DOF-PID Control Technique for Drug Scheduling of Chemotherapy System

Abstract

Publication series

Conference

UN SDGs

All Science Journal Classification (ASJC) codes

Access to Document

Other files and links

Fingerprint

Cite this