混沌系统的建模与辨识是混沌控制的基础。
Modeling and identifying chaotic system is the basis of chaos control.
用状态观测器方法构造同步混沌接收系统，根据最速下降法辨识未知参数。
A synchronous chaotic receive system was constructed by a state observer method, and the unknown parameters were identified by steepest descend method.
针对不确定非线性混沌系统，提出了一种基于动态神经网络辨识器的自适应跟踪控制新方法。
An adaptive tracking controller based on dynamical neural network identifier for uncertain nonlinear chaos systems is presented.
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