strongly nonlinear stochastic dynamic system 强非线性随机动力系统
The analysis also shows that the nonlinear terms in the dynamic system equations cause the stochastic state to jump so that the circuit state can reach compatibility with the constraint equations.
同时发现动力学系统中的非线性函数项(或非线性元件)能够发生跳跃随机性和产生跳跃随机曲线,以使电路的状态轨迹达到与约束方程相容的状态。
The filtering methods based on information fusion estimation in linear or nonlinear systems was presented for the filtering problem in discrete dynamic stochastic system.
针对离散随机动态系统的滤波问题,提出了基于信息融合估计的线性和非线性滤波方法。
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