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Optimal state estimation源码-optical state estimation
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该算法基本思想是利用一组带有相应权值的随机样本即粒子去逼近PHD分布和基数分布，其意义在于不仅解决重积分计算没有闭式解的难题，而且在滤波过程中，PHD函数被一系列离散的带权值的样本近似，随着样本粒子数量的增加，PHDF接近于Bayes最优估计，而且不受模型线性和高斯假设的限制，可以适用于非线性非高斯的随机系统。-The algorithm the basic idea is to use a set of random sample with the corresponding weight n
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卡尔曼滤波(Kalman filtering)一种利用线性系统状态方程，通过系统输入输出观测数据，对系统状态进行最优估计的算法。由于观测数据中包括系统中的噪声和干扰的影响，所以最优估计也可看作是滤波过程。-Kalman filter (Kalman filtering) a use of linear state equations, observation data input and output through the system, the system state optimal es
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本程序是有关粒子滤波，及其其在组合导航中的应用有关程序，可以仿真-This procedure is related to the particle filter, and its application in integrated navigation procedures, you can emulate
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In computer science and operations research, the ant colony optimization algorithm (ACO) is a probabilistic technique for solving computational problems which can be reduced to finding good paths through graphs.
This algorithm is a member of the
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continuous ACO.
In computer science and operations research, the ant colony optimization algorithm (ACO) is a probabilistic technique for solving computational problems which can be reduced to finding good paths through graphs.
This algorithm
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Matpower6.0b2的教育版，主要用于电力系统仿真，其中包括潮流计算、最优潮流、状态估计等。(The 6.0b2 Version of Matpower is provided in this file. It is an education version for power sytem analysis. The power flow, optimal power flow, and state estimation functions are included in the simu
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