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。
For a class of complex system with interconnected nonlinear subsystems, here is introduced an integrated identification method combining steady-state identification with dynamic identification.
针对一类具有相互关联非线性子系统的复杂系统，提出了一种稳态辨识与动态辨识相结合的集成辨识方法。
In view of modeling problems of nonlinear and dynamic system, a self organizing fuzzy identification algorithm (SOFIA) is presented based on t s model in this paper.
针对复杂非线性动态系统的模糊建模问题，基于T - S模型提出一种自组织模糊辨识算法。
应用推荐