Adaptive Fuzzy Control for Synchronization of Coronary Artery System With Input Nonlinearity

Zhanshan Zhao; Haoliang Cui; Jing Zhang; Jie Sun

doi:10.1109/ACCESS.2017.2779118

IEEE Access (Jan 2018)

Adaptive Fuzzy Control for Synchronization of Coronary Artery System With Input Nonlinearity

Zhanshan Zhao,
Haoliang Cui,
Jing Zhang,
Jie Sun

Affiliations

Zhanshan Zhao: ORCiD; School of Computer Science and Software Engineering, Tianjin Polytechnic University, Tianjin, China
Haoliang Cui: School of Computer Science and Software Engineering, Tianjin Polytechnic University, Tianjin, China
Jing Zhang: School of Textiles, Tianjin Polytechnic University, Tianjin, China
Jie Sun: School of Computer Science and Software Engineering, Tianjin Polytechnic University, Tianjin, China

DOI: https://doi.org/10.1109/ACCESS.2017.2779118
Journal volume & issue: Vol. 6
pp. 7082 – 7087

Abstract

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Takagi-Sugeno (T-S) fuzzy coronary artery system. We use the T-S fuzzy model to represent the coronary artery system, because the coronary artery system has complicated nonlinear characteristic in reality. Based on the new model, a fuzzy parametric adaptive output feedback controller is designed to achieve the H∞ synchronization of coronary artery system with input nonlinearity and parameter perturbations. Some simulation results are given to illustrate the effectiveness of our control strategy.

Published in IEEE Access

ISSN: 2169-3536 (Online)
Publisher: IEEE
Country of publisher: United States
LCC subjects: Technology: Electrical engineering. Electronics. Nuclear engineering
Website: https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6287639

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