Key result
An adaptive nonlinear tracking controller successfully drove the output of a chaotic coronary artery system into the normal orbit with good robustness and adaptability in simulations.
An adaptive robust controller based on backstepping and Nussbaum-type functions can effectively stabilize a simulated chaotic coronary artery system.
Simulation results do not support clinical use; leaves open translation of adaptive controllers to cardiovascular models.
The tracking control problem of chaotic coronary artery systems with dynamic uncertainties and unknown parameters is addressed. The unknown system parameters are adaptively identified, and the exogenous disturbances are attenuated by Nussbaum-type functions based on a backstepping method. The developed adaptive robust controller guarantees that the closed-loop system is globally and uniformly bounded, and the tracking error is convergent to a small neighbourhood of zero. In addition, the desired performance can be achieved by an appropriate choice of the design parameters of the controller, and the singular problem can be avoided. Simulation results demonstrate that the developed adaptive nonlinear tracking controller can drive the output of a chaotic coronary artery system into the normal orbit with good robustness and adaptability.
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Wenlei Li (2010) studied Chaotic coronary artery system. Adaptive robust controller was evaluated on Tracking error convergence and closed-loop system boundedness. An adaptive nonlinear tracking controller successfully drove the output of a chaotic coronary artery system into the normal orbit with good robustness and adaptability in simulations.
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