Stability control of a fractional-order Morris–Lecar neuronal model via fractional-order washout filter

Author:

Yue Kelong12,Yang Renhuan12,Yang Xiuzeng3,Cai Qingwen12,Shen Chao12,Yang Liu12

Affiliation:

1. College of Information Science and Technology, Jinan University, Guangzhou 510632, P. R. China

2. Guangdong Provincial Key Laboratory of Traditional Chinese Medicine Informatization, Guangzhou 510405, P. R. China

3. Department of Physics and Electronic Engineering, Guangxi Normal University for Nationalities, Chongzuo 532200, P. R. China

Abstract

The bifurcation phenomenon generated in neurons is considered to be the cause of many neurological diseases, thus, lots of investigators have been dedicated to bifurcation control, but most of them only focus on the integer-order neuronal models and control methods. Recently, increasing number of research works have shown that the differential equations of fractional-order are more appropriate for description of the electrical properties of certain nerve cell membranes. In this paper, we employ a fractional-order washout filter to realize bifurcation control for fractional-order Morris–Lecar neuronal model. Computer simulation verifies the effectiveness and improved performance of the proposed method than the integer-order washout filter. In addition, the analysis of the fractional-order controller’s impacts on the model is also presented.

Funder

NSF project of China

International S & T Cooperation Program of China

projects Guangdong Science and Technology Program

project of Guangzhou Science and Technology Program

project of Guangxi Science and Technology Program

Guangdong Provincial Key Laboratory of Traditional Chinese Medicine Informatization

Publisher

World Scientific Pub Co Pte Ltd

Subject

Computational Theory and Mathematics,Computer Science Applications,General Physics and Astronomy,Mathematical Physics,Statistical and Nonlinear Physics

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