论文部分内容阅读
利用脉冲控制法对含两个神经元的非自治细胞神经网络（ Ｃ Ｎ Ｎ′ｓ）出现的混沌现象进行控制，给出了保证脉冲控制的系统存在周期解的条件，并通过数值仿真实验证实了用很小的外部激励就能控制住混沌。通过观察受控轨道的时间波形，发现利用受控非自治 Ｃ Ｎ Ｎ′ｓ 模型可成功地对生理学中电响应活动信号建模，这一发现为研究人脑或动物大脑中混沌的功能作用提供了非常有用的工具。
The impulsive control method is used to control the chaos phenomenon of non-autonomous cellular neural network (CNN’s) with two neurons. The condition of the periodic solution for the guaranteed impulsive control system is given. The numerical simulation results show that With a small external incentives can control the chaos. By observing the temporal waveforms of the controlled orbits, it was found that the signal of the physiologically active electrical response activity can be successfully modeled using a controlled non-autonomous C N N’s model, a finding that is provided to investigate the functional role of chaos in the human brain or animal brain Very useful tool.