Adaptive fuzzy sliding mode control of the model of aneurysms of the circle of willis

Authors:
Peijun Ju;Guocai Liu;Li Tian;Wei Zhang
Affiliations:
Taishan University, Department of Mathematics and System Science, Taian, Shandong, China;Taishan University, Department of Mathematics and System Science, Taian, Shandong, China;Taishan University, Department of Mathematics and System Science, Taian, Shandong, China;Taishan University, Department of Mathematics and System Science, Taian, Shandong, China
Venue:
LSMS'07 Proceedings of the 2007 international conference on Life System Modeling and Simulation
Year:
2007

Citing 4
Cited 0

Approximation of solutions for nonlinear problems with an applications to the study of aneurysms of the circle of Willis

Nonlinear Analysis: Theory, Methods & Applications - Lakshmikantham's Legacy: A tribute on his 75th birthday
Indirect adaptive fuzzy sliding mode control: Part I: fuzzy switching

Fuzzy Sets and Systems
Robust adaptive fuzzy controller for nonlinear system using estimation of bounds for approximation errors

Fuzzy Sets and Systems - Theme: Fuzzy control
Stable adaptive fuzzy controllers with application to inverted pendulum tracking

IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics

Quantified Score

Hi-index	0.00

Visualization

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.