对非线性时滞离散动态系统的最优控制,提出了一种信息融合估计(information fusion estimation,IFE)方法,把非线性控制问题的所有信息转化为关于控制量的 ..
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基于非线性信息融合估计定理，推导出一种计算简单的迭代型非线性滤波方法。
Based on the nonlinear information fusion theorem, an iterative fusion estimation method with small computation cost was derived.
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。
The filtering methods based on information fusion estimation in linear or nonlinear systems was presented for the filtering problem in discrete dynamic stochastic system.
基于多传感器多模型信息，给出了目标状态基于全局信息融合估计的一种新算法，并通过计算机仿真验证了这种算法的有效性。
Based on Multi_sensor Multi_model information, we present a new algorithm based on total information fusion estimation on target state. We prove the validity of this algorithm by computer.
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