中文摘要：

基于Lyapunov稳定性理论,采用线性反馈方法将一类混沌神经元系统的参数控制到稳定值,数值模拟证实该方法不但能准确识别系统的常数参数,而且对于周期性变化的参数的识别同样有效.进一步研究混沌神经元系统的追踪控制问题,数值验证所设计控制器的有效性.

英文摘要：

Based on Lyapunov stability theory,the unknown parameters in a class of chaotic neuronal systems were controlled to be stable values by means of linear feedback method.It was verified by numeric simulation that this method was applicable not only to the constant-parameter system but also to the system with periodically varying parameters.Furthermore,the trace control of the chaotic neuronal system was also investigated.It was verified by numeric evaluation that the controller designed was valid.