Abstract
An adaptive fuzzy sliding mode controller for highly nonlinear biological system is proposed by considering the model of aneurysms of the circle of willis. The fuzzy logic system approximates and adaptively cancels an unknown plant nonlinearity using the state variables. A control law and adaptive laws for unknown parameters and bounding constant are established so that the whole closed-loop system is stable in the sense of Lyapunov. This paper discussed the nonlinear dynamic behavior and control of blood speed in aneurysm. The simulation for the aneurysms model demonstrates that the proposed controller provide good tracking and estimation performances.
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Ju, P., Liu, G., Tian, L., Zhang, W. (2007). Adaptive Fuzzy Sliding Mode Control of the Model of Aneurysms of the Circle of Willis. In: Li, K., Li, X., Irwin, G.W., He, G. (eds) Life System Modeling and Simulation. LSMS 2007. Lecture Notes in Computer Science(), vol 4689. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74771-0_57
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DOI: https://doi.org/10.1007/978-3-540-74771-0_57
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-74770-3
Online ISBN: 978-3-540-74771-0
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