HH神经元的自抗扰同步研究

Synchronization of HR Neuron Systems by Active Disturbance Rejection Control

因外部电磁环境变化导致生物神经元放电节律不同步是生物控制中需要解决的一个难点问题。HH神经元模型是描述神经元动力学特性的第一个数学模型,以HH神经元为研究对象,利用各种现代控制方法获得HH神经元的同步,方法的不足在于对外部干扰的敏感性以及控制律复杂不易实现。为增强神经元同步的鲁棒性和可行性,利用自抗扰控制算法,在三种不同情况下研究HH神经元的同步,并且依次加入不同干扰验证其同步效果。仿真结果表明,自抗扰控制能够对神经元系统的总扰动进行实时估计和补偿,消除扰动对神经元系统同步的影响,从而获得良好的同步效果。

Asynchronization of discharge rhythm in neurons, which results from external electromagnetic environment changes, is a difficulty problem need to solve in the study of biocontrol. HH model is the first model that describes the dynamics of neuron. Various kinds of modern control approaches, on the basis of HH model, have been employed in synchronization of HH neurons. Most of the synchronization approaches published, however, are sensi- tive to the external disturbances. In addition, the approaches are not convenient enough to realize in practice. With an attempt to improve the robustness and feasibility of the synchronization approach, the Active Disturbance Rejection Control （ADRC） was utilized to synchronize HH neurons. Three kinds of different cases were considered, and then different disturbances were added in order to verify the synchronization of ADRC. Simulation results show that the ADRC is able to estimate and compensate total disturbances of neuronal systems in real-time, which reduces the influence of disturbances in sYnchronization and guarantees a good synchronization effect.