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中文摘要：
由于神经元模型和参数具有不确定性，加大了许多控制算法的应用难度，而迭代学习控制不需要精确的数学模型，因此适合神经元网络同步的控制。针对Hodgkin—Huxley（HH）神经元的同步控制问题，提出了基于PI型迭代学习控制算法。对四种不同情况下主从神经元同步控制进行仿真，结果表明，施加控制后从神经元能够迅速跟踪主神经元的动力学行为。研究结果证实了该控制算法的可行性和有效性。
英文摘要：
Because of the uncertainties of neuron model and its parameters, some control methods become cumbersome. Itera- tire learning control （ILC） is independent of the exact system model, therefore is suitable for control of neural network syn- chronization. This paper proposed PI-type iterative learning control algorithm for synchronization control of Hodgkin-Huxley （HH） neurons. Simulation of synchronization control of master and slave neurons in four cases shows that, when the control is implemented, the dynamic behavior of the controlled slave neuron can rapidly synchronize with that of the master one. The re- sults confirm the feasibility and effectiveness of this control algorithm.
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