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.
将混沌BP算法应用于非线性系统建模，以求获得全局意义下的最优逼近。
The chaotic BP algorithm is applied to nonlinear system modeling to obtain the optimal approximation in the global sense.
对糖酵解混沌振荡过程进行动态辨识建模，结果表明本算法具有较好的辨识效果和收敛性。
The dynamic glycolysis chaotic oscillation process is identified using VBL network, which shows that this algorithm has better convergence property than other algorithms.
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