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

Dianwei Qian; Hui Ding; SukGyu Lee; Hyansu Bae

doi:10.1109/JAS.2019.1911834

Volume 7 Issue 1

Jan. 2020

IEEE/CAA Journal of Automatica Sinica

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Article Navigation > IEEE/CAA Journal of Automatica Sinica > 2020 > 7(1): 126-135

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

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

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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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Author Bio:
Dianwei Qian received the B.E. degree from Hohai University, Nanjing, China, in 2003. He received the M.E. degree from Northeastern University, Shenyang, China and the Ph.D. degree from the Institute of Automation, Chinese Academy of Sciences, China, in 2005 and 2008, respectively. Currently, he is an Associate Professor with the School of Control and Computer Engineering, North China Electric Power University, China. His research interests include the theory and applications of nonlinear control

Hui Ding received her master degree majoring in Anesthesiology from the School of Medicine, Xi’an Jiaotong University, Shaanxi Province, China in 2008. Currently, she is with the Department of Anesthesiology, Shaanxi Provincial People’s Hospital, Xian, Shaanxi Province, China. She is also a Ph.D. candidate at the School of Medicine, Xi’an Jiaotong University. Her research interests include the mechanism of heart disease and the novel technique of anesthesiology

SukGyu Lee received the B.S. and M.S. degrees in electrical engineering from Seoul National University, Seoul, South Korea, in 1979 and 1981, respectively, and the Ph.D. degree in electrical engineering from UCLA, USA, in 1990. Since 1982, he has been with the Department of Electrical Engineering, Yeungnam University, Daegu, South Korea, where he is currently a Professor. His research interests include robotics, SLAM, nonlinear control, and adaptive control

Hyansu Bae received the bachelor of science in engineering (electrical engineering) from University of Yeungnam, Korea. He is a Ph.D. candidate in the Robotics Control Laboratory, Yeungnam University, Korea. His current research interests include artificial intelligence, machine learning, vision and robotics
Corresponding author: D. W. Qian is with the School of Control and Computer Engineering, North China Electric Power Unverisity, Beijing 102206, China (e-mail: dianwei.qian@ncepu.edu.cn)
Received Date: 2019-07-05
Revised Date: 2019-09-07
Accepted Date: 2019-11-25

Available Online: 2019-12-05

Abstract

Abstract

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.
- Biological systems,
- chaos suppression,
- coronary artery,
- nonlinear dynamics,
- sliding mode control (SMC)

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References

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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.

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

doi: 10.1109/JAS.2019.1911834

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通讯作者: 陈斌, bchen63@163.com

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