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Volume 7 Issue 1
Jan.  2020

IEEE/CAA Journal of Automatica Sinica

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Dianwei Qian, Hui Ding, SukGyu Lee and Hyansu Bae, "Suppression of Chaotic Behaviors in a Complex Biological System by Disturbance Observer-based Derivative-Integral Terminal Sliding Mode," IEEE/CAA J. Autom. Sinica, vol. 7, no. 1, pp. 126-135, Jan. 2020. doi: 10.1109/JAS.2019.1911834
Citation: Dianwei Qian, Hui Ding, SukGyu Lee and Hyansu Bae, "Suppression of Chaotic Behaviors in a Complex Biological System by Disturbance Observer-based Derivative-Integral Terminal Sliding Mode," IEEE/CAA J. Autom. Sinica, vol. 7, no. 1, pp. 126-135, Jan. 2020. doi: 10.1109/JAS.2019.1911834

Suppression of Chaotic Behaviors in a Complex Biological System by Disturbance Observer-based Derivative-Integral Terminal Sliding Mode

doi: 10.1109/JAS.2019.1911834
Funds:  This work was supported by the Fundamental Research Funds for the Central Universities (2018MS29)
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  • Coronary artery systems are a kind of complex biological systems. Their chaotic phenomena can lead to serious health problems and illness development. From the perspective of engineering, this paper investigates the chaos suppression problem. At first, nonlinear dynamics of coronary artery systems are presented. To suppress the chaotic phenomena, the method of derivative-integral terminal sliding mode control is adopted. Since coronary artery systems suffer from uncertainties, the technique of disturbance observer is taken into consideration. The stability of such a control system that integrates the derivative-integral terminal sliding mode controller and the disturbance observer is proven in the sense of Lyapunov. To verify the feasibility and effectiveness of the proposed strategy, simulation results are illustrated in comparison with a benchmark.

     

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    Highlights

    • This paper investigates the chaos suppression problem of a biological coronary artery system.
    • A scheme integrates the sliding mode controller and the disturbance observer.
    • The system stability is presented in the sense of Lyapunov.
    • Results are illustrated to support the scheme in comparison with a benchmark.

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