https://doi.org/10.1140/epjp/s13360-021-01107-6
Regular Article
Hidden dynamical behaviors, sliding mode control and circuit implementation of fractional-order memristive Hindmarsh−Rose neuron model
1
School of Electronics and Information Engineering, Anhui University, 230601, Hefei, China
2
Ecological Big Data Analysis and Application,National Engineering Research Center for Agro, Anhui University, 230601, Hefei, China
3
School of Mathematics Sciences, Anhui University, 230601, Hefei, China
4
School of Internet, Anhui University, 230601, Hefei, China
Received:
10
November
2020
Accepted:
11
January
2021
Published online:
11
May
2021
In order to describe the complex dynamical behaviors of neurons with electromagnetic effect, this paper presents a fractional-order memristive (FOM) Hindmarsh–Rose (HR) neuron model by introducing a magnetic flux-controlled memristor to the three-dimensional HR neuron model. The proposed FOM HR neuron model without equilibrium point shows complex hidden dynamical behaviors, such as periodic orbits, chaotic behaviors, period-doubling bifurcations, and coexisting asymmetric phenomena, which are revealed by numerical simulations of local attraction basins, Lyapunov exponents, bifurcation diagrams, phase portraits, and so on. Furthermore, since most biomedical diseases are caused by abnormal discharge of neurons, a sliding mode control strategy is applied to suppress the chaotic behaviors of the FOM HR neuron model, which is helpful to prevent and treat diseases. Finally, we introduce the circuit designs of the FOM HR neuron model in detail, and the simulation results captured by oscilloscope in circuit implementation match well with the theoretical analysis.
© The Author(s), under exclusive licence to Società Italiana di Fisica and Springer-Verlag GmbH Germany, part of Springer Nature 2021
