According to the selected scheme an equation is constituted for the observation. Identification algorithm for the nonlinear dynamic system, is deduced following the maximum likelihood principle.
然后根据选定的量测方案建立观测方程，并按极大似然原理导出非线性动力学系统的参数辨识算法。
The results show that this algorithm can model input and output learning kernel of dynamic nonlinear system quickly, which is superior to other learning methods of wavelet network.
结果表明该算法能够对动态非线性系统的输入输出快速学习和建模，优于其它小波网络的学习算法。
In this paper, an interaction balance coordination algorithm of integrated system optimization and parameter estimation for nonlinear discrete dynamic large scale system is introduced.
提出一种非线性离散动态大系统系统优化与参数估计集成的关联平衡协调算法。
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