Adaptive terminal and supertwisting sliding mode controllers for acute Leukemia therapy

Islam, Yasir; Ahmad, Iftikhar; Zubair, Muhammad; Islam, Ashraful

doi:10.1016/j.bspc.2021.103121

Cited by 19 publications

(19 citation statements)

References 41 publications

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“…To prevent the serious damage or even extinction of animal and plant population caused by infectious diseases, it is particularly important to reasonably intervene and control the ecological epidemiological system[ 26 , 27 ]. For the treatment of leukemia, Islam et al[ 28 ] designed an adaptive terminal and supertorsional sliding mode controller, and verified the stability of the system using Lyapunov’s stability theory. For a nonlinear four-state ODE malignant tumor model, Qaiser et al[ 29 ] designed a fuzzy controller and two kinds of nonlinear controllers: synergetic and state feedback controllers for chemotherapeutic drug control.…”

Section: Introductionmentioning

confidence: 99%

Stability and bifurcation control analysis of a delayed fractional-order eco-epidemiological system

Zhao

2022

Eur. Phys. J. Plus

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Considering the factor of artificial intervention in biological control, a delayed fractional eco-epidemiological system with an extended feedback controller is proposed. By using the digestion delay as bifurcation parameter, the stability and Hopf bifurcation are investigated, and the branching conditions are given. The system undergoes Hopf bifurcation, when the parameter passes through the critical value. In addition, it can be pointed out that the negative feedback gain and the feedback delay could affect the bifurcation critical value of the system. Therefore, the Hopf bifurcation can also be induced by taking the feedback delay as a bifurcation parameter. Finally, by plotting the solution curve of the system, the significance of the controller to the stability of the eco-epidemiological system is verified.

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Section: Introductionmentioning

confidence: 99%

Stability and bifurcation control analysis of a delayed fractional-order eco-epidemiological system

Zhao

2022

Eur. Phys. J. Plus

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“…SMC is one such nonlinear control method that is simple in design, achieves faster system response, and attenuates parametric uncertainties and external disturbances. The SMC has been incorporated in various biomedical research, such as the regulation of human blood sugar [30], [31], artificial pancreas in type 1 diabetes patients [32], cancer chemotherapy treatment [33]- [36], etc. However, the major issue with the SMC is input chattering due to the switching function in the control law.…”

Section: Introductionmentioning

confidence: 99%

Robust Control for Cancer Chemotherapy Through Time Delayed Estimation Philosophy

Sarkar,

Saidani,

Almuqren

et al. 2024

IEEE Access

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Chemotherapy, a vital cancer treatment, operates by delivering drugs to target and eliminate cancer cells in the patient body. Mathematical models like the log-kill, Norton-Simon, and E max hypotheses describe the growth/shrinking of the cancerous tumor due to the interaction and administration of the drugs with the tumor. This paper proposes a robust control approach based on artificial time-delayed theory to track the desired rate of change in tumor volume under model uncertainties and disturbances. The proposed algorithm relaxes the assumption on a priori knowledge of disturbance bound and its derivative. Unlike traditional methods, the control structure is simple, and the total disturbance is estimated by analyzing the previous input and output of the feedback state and control variables. Thus, robustness is ensured without relying on high-frequency switching or high gain. The stability analysis of the proposed scheme is investigated based on the Lyapunov theory. Moreover, extensive simulation results with comparative analysis affirm the efficacy of the proposed approach.

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“…A super twisting sliding mode control strategy is demonstrated in Reference 28. An adaptive super twisting sliding mode controller for treatment of cancer is developed in Reference 29. In Reference 30, a fuzzy fractional order sliding mode controller is developed.…”

Section: Introductionmentioning

confidence: 99%

Adaptive boundary layer double integral sliding mode controller design for leukemia therapy

Sengupta

Das

2023

Adaptive Control & Signal

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SummaryPresence of leukocytes in huge amount in the bone marrow and blood causes blood cancer or leukemia. In leukemia, number of white blood corpuscles in blood increases rapidly. Chemotherapy treatment is the most useful treatment of leukemia. Although chemotherapy treatment can reduce the cancer cells effectively, it destroys the healthy cells of the body as well. Therefore, it is essential to develop a proper control structure to use the chemotherapy agent effectively to reduce the cancer cells and to keep the normal cells within specified limit. An adaptive boundary layer double integral sliding mode controller is designed in this article for treatment of acute leukemia using chemotherapy. The objective of the designed controller is to control the chemotherapy agent in such a way that the amount of leukemic cell become zero and at the same time, the number of healthy cells should be retained at a desired level. The stability of the designed controller is verified using a Lyapunov function. The consequences of chemotherapy treatment on both natural cells and cancer cell using the designed controller is observed in both monotonic and non‐monotonic therapy function. A comparative analysis is also carried out between the designed controller and some existing controller to verify the effectiveness of the proposed controller.

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Adaptive terminal and supertwisting sliding mode controllers for acute Leukemia therapy

Cited by 19 publications

References 41 publications

Stability and bifurcation control analysis of a delayed fractional-order eco-epidemiological system

Stability and bifurcation control analysis of a delayed fractional-order eco-epidemiological system

Robust Control for Cancer Chemotherapy Through Time Delayed Estimation Philosophy

Adaptive boundary layer double integral sliding mode controller design for leukemia therapy

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