Key result
A smooth second-order sliding mode controller with disturbance observer suppresses chaos in coronary artery models.
Why the study?
Coronary artery disease is the leading global cause of mortality and morbidity, motivating the discussion and analysis of coronary artery disease in the field of dynamics.
A mathematical model and sliding mode controller were developed to simulate and suppress chaotic dynamics in coronary artery systems.
Does not support clinical use in coronary disease; leaves open hypothesis-generating research on chaos-control modeling.
Since coronary artery disease is the leading global cause of mortality and morbidity, this paper investigates the chaos suppression of coronary artery systems. The motivation of the paper is to discuss and analyze coronary artery disease in the field of dynamics. Firstly, the mathematic model of coronary artery systems is formulated and the properties of this model are illustrated by bifurcation diagram, information entropy analysis, phase plane trajectory, and Poincaré section. With regard to the uncertainties of coronary artery systems, the disturbance observer technique is adopted. Meanwhile, the smooth second-order sliding mode controller is designed to suppress the chaos phenomenon. In light of the combination of the controller and observer, the stability of such a closed-loop system is proven in the sense of Lyapunov. Finally, some numerical simulations demonstrate the feasibility and validity of such design.
No takes yet. Share an insight, caveat, or question.
Ding et al. (2023) studied Coronary artery disease. Smooth second-order sliding mode controller and disturbance observer was evaluated on Chaos suppression and closed-loop system stability. A smooth second-order sliding mode controller combined with a disturbance observer successfully suppressed chaos in a mathematical model of coronary artery systems.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: