Skip to main content
Log in

Backstepping and Synergetic Controllers for the Chemotherapy of Brain Tumor

  • Control Theory and Applications
  • Published:
International Journal of Control, Automation and Systems Aims and scope Submit manuscript

Abstract

The treatment of brain tumors by chemotherapy through the controlled rate of drug has been a challenging task since long. Two nonlinear control algorithms: 1) synergetic 2) backstepping based controllers have been designed for the therapeutic agent in an updated mathematical model of brain tumor to reduce the tumor cells, to maintain a safe amount of healthy cells, to keep the immune cells above a certain value and ensure a suitable amount of drug during the therapy. Lyapunov stability theory has been used to analyze the system’s asymptotic stability and convergence of the tumor cells to their desired reference. Simulations have been performed in ODE45-Solver of Matlab/Simulink which show that chemotherapy using proposed controllers is effective enough to get the desired objectives.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. L. G. De Pillis and A. Radunskaya, “The dynamics of an optimally controlled tumor model: A case study,” Mathematical and computer modelling, vol. 37, no. 11, pp. 1221–1244, 2003.

    Article  Google Scholar 

  2. A. El-Gohary, “Chaos and optimal control of equilibrium states of tumor system with drug,” Chaos, Solitons & Fractals, vol. 41, no. 1, pp. 425–435, Jul 2009.

    Article  MathSciNet  Google Scholar 

  3. S. Alavi, J. Norabadi, and M. Arjmand, “Optimal control brain tumor system with drog and uts stability,” J. Math. Computer Sci., vol. 4, no. 3, pp. 473–486, Apr. 2012.

    Article  Google Scholar 

  4. T. Halkin, “Brain tumor facts & figures,” Incidence, Mortality, and Survival in 2018, https://blog.braintumor.org/brain-tumor-facts-figures-may-2018-incidence-mortality-and-survival-in-2018/ (accessed Jul. 29, 2019).

  5. “Brain Tumors,” MAYFIELD Brain and Spine, https://www.mayfieldclinic.com (accessed Jul. 29, 2019).

  6. M. Itik, M. U. Salamci, and S. P. Banks, “Optimal control of drug therapy in cancer treatment,” Nonlinear Analysis: Theory, Methods & Applications, vol. 71, no. 12, pp. e1473–e1486, Dec. 2009.

    Article  Google Scholar 

  7. R. S. Butt, I. Ahmad and M. Arsalan, “Integral backstepping and synergetic control for tracking of infected cells during early antiretroviral therapy,” IEEE Access, vol. 7, pp. 69447–69455, 2019.

    Article  Google Scholar 

  8. J. Liu, Y. Yu, Q. Wang, and C. Sun, “Robust distributed consensus tracking control for high-order uncertain nonlinear mass with directed topologies,” Asian Journal of Control, vol. 22, no. 6, pp. 2558–2568, 2020.

    Article  MathSciNet  Google Scholar 

  9. J. Liu, Y. Zhang, Y. Yu, and C. Sun, “Fixed-time event-triggered consensus for nonlinear multiagent systems without continuous communications,” IEEE Trans. Syst. Man Cybern, Syst., vol. 49, no. 11, pp. 2221–2229, Nov. 2019.

    Article  Google Scholar 

  10. Y. Fang, J. Fei, and Y. Yang, “Adaptive backstepping design of a microgyroscope,” Micromachines, vol. 9, no. 7, pp. 338, Jul 2018.

    Article  Google Scholar 

  11. A. Boonyaprapasorn, P. S. Ngiamsunthorn, and T. Sethaput, “Synergetic control for HIV infection system of CD4+T cells,” Proc. of 16th International Conference on Control in Automation and Systems (ICCAS), pp. 484–488, Oct. 2016.

  12. M. Cupelli, M. Moghimi, A. Riccobono, and A. Monti, “A comparison between synergetic control and feedback linearization for stabilizing MVDC microgrids with constant power load,” IEEE PES Innovative Smart Grid Technologies, vol. 9, no. 7, pp. 1–6, Oct. 2014.

    Google Scholar 

  13. “Most Popular Disease,” Bluecircle, http://www.kc.bluecircle.in (accessed Jul. 29, 2019).

  14. P. A. Valle, K. E. Starkov, and L. N. Coria, “Global stability and tumor clearance conditions for a cancer chemotherapy system,” Communications in Nonlinear Science and Numerical Simulation, vol. 40, pp. 206–215, Nov 2016.

    Article  MathSciNet  Google Scholar 

  15. E. Hossain, R. Perez, S. Padmanaban, L. Mihet-Popa, F. Blaabjerg, and V. Ramachandaramurthy, “Sliding mode controller and Lyapunov redesign controller to improve microgrid stability: A comparative analysis with CPL power variation,” Energies, vol. 10, no. 12, p. 1959, Nov. 2017.

    Article  Google Scholar 

  16. A. A. Kolesnikov, “Introduction of synergetic control,” Proc. of American Control Conference, pp. 3013–3016, 2014.

  17. A. Bezuglov, A. Kolesnikov, I. Kondratiev, and J. Vargas, “Synergetic control theory approach for solving systems of nonlinear equations,” Proc. of the 9th World MultiConference on Systemics, Cybernetics and Informatics, pp. 121–126, 2005.

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Iftikhar Ahmad.

Additional information

Muhammad Zubair received his M.S. degree in electrical engineering from the School of Electrical Engineering and Computer Science (SEECS), National university of Science and Technology (NUST), Islamabad, Pakistan. His current research interests include nonlinear control applications, power converters, nonlinear control of biomedical systems, and hybrid electric vehicles.

Iftikhar Ahmad Rana is serving as an Assistant Professor at the Department of Electrical Engineering, School of Electrical Engineering, and Computer Science, National University of Sciences and Technology (NUST), Islamabad, Pakistan. Earlier, he received an M.S. degree in fluid mechanical engineering from University Paris VI (University Pierre Marie Curie, Paris) and his Ph.D. in robotics, control and automation, from the Universite de Versailles France.

Yasir Islam received his B.S. and M.S. degrees in electrical engineering with specialization in power and control systems from School of Electrical Engineering and Computer Science, National University of Sciences and Technology (NUST), Islamabad, Pakistan.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Zubair, M., Ahmad, I. & Islam, Y. Backstepping and Synergetic Controllers for the Chemotherapy of Brain Tumor. Int. J. Control Autom. Syst. 19, 2544–2556 (2021). https://doi.org/10.1007/s12555-020-0426-5

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12555-020-0426-5

Keywords

Navigation