Adaptive Synchronization for Fractional-order Biomathematical Model of Muscular Blood Vessel with Input Nonlinearity

In this paper, the adaptive synchronization of fractional-order muscular blood vessel (MBV) model subject to input nonlinearity is investigated. The parameters of controlled systems are assumed to be unknown in advance, moreover, the effects of model uncertainties and external disturbances are fully...

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Bibliographic Details
Published inIAENG international journal of computer science Vol. 45; no. 3
Main Authors Tian, Xiaomin, Yang, Zhong
Format Journal Article
LanguageEnglish
Published Hong Kong International Association of Engineers 28.08.2018
Subjects
Blood vessels
Computer simulation
Control stability
Control systems
Nonlinearity
Robust control
Synchronism
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Summary:In this paper, the adaptive synchronization of fractional-order muscular blood vessel (MBV) model subject to input nonlinearity is investigated. The parameters of controlled systems are assumed to be unknown in advance, moreover, the effects of model uncertainties and external disturbances are fully taken into account. On the basis of frequency distributed fractional integrator model and Lyapunov stability theory, a robust control law and fractional-order type parametric update laws are designed to ensure the synchronization. Simulation results demonstrate that the proposed control scheme can steer the abnormal muscular vessel into normal orbit with good robustness.
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ISSN:1819-656X
1819-9224