搜索资源列表
State_Estimator
- 状态估计的gui,运用matpower,实现状态估计，里面还调用多个自己编的程序-Gui of State estimation
kalman
- 基于_当前_统计模型的目标状态估计主要靠 kalman滤波实现对物体运动轨迹的估计-_ Current _ statistical model-based target state estimates depends mainly on kalman filter object trajectories estimated
Estimation_KF
- 本文对状态估计进行了简要介绍，同时着重介绍了卡尔曼滤波的内容-In this paper, the state estimated a brief introduction, and focuses on the contents of the Kalman filter
power-system-state-estimator
- 电力系统状态估计的程序，可以进行简单的14机模型的计算-Power system state estimation procedures, a simple model for the calculation of the 14 machines
dataentry
- 电力系统状态估计MATLAB算法,内附readme 详细说明了使用方法和步骤 有专门的txt文件 可以输入自己的bus阵 line阵等 即可进行状态估计-Power system state estimation MATLAB algorithms included readme Describe use specialized txt file and steps can input their own bus array line array can be estimated state
state-estimation-module
- 状态估计算法 MATLAB 内附readme 详细说明了使用方法和步骤 有专门的txt文件 可以输入自己的bus阵 line阵等 即可进行状态估计-State estimation algorithm MATLAB included readme Describe the use of methods and steps specialized txt file can input their own the bus array line array can be estimated state
pisa
- 电力系统状态估计MATLAB算法,最小二乘法应用-Power system state estimation MATLAB algorithm, the method of least squares applications
kalman
- kalman滤波，主要实现二维空间目标的状态估计 简单易懂 实用性强-kalman filter
Particle-filter-resampling-methods
- 粒子滤波是基于递推的MonteCarlo仿真方法的总称, 原则上可用于任意非线性、非高斯随机系统的状态估计。-Particle filter is based on the the MonteCarlo simulation method of recursive general principle can be used for any nonlinear, non-Gaussian random system state estimation.
Particle-filter-algorithm-
- 粒子滤波是基于递推的蒙特卡罗模拟方法的总称，可用于任意非线性，非高斯随机系统的状态估计。-The particle filter is based on recursive Monte Carlo simulation method general, can be used for any non-linear, non-Gaussian random system state estimation.
paixu
- 用于在配电网状态估计之前对一定数量的测量装置在配电网中进行最优安装。-On a number of measuring devices used for state estimation of the distribution network in the distribution network for optimal installation.
30bus
- 电力系统IEEE-30bus状态估计方法仿真，包括EKF，UKF，改进的EKF等。-IEEE-30bus of power system state estimation method simulation, including the EKF, UKF, the EKF.
state-estimation-using-PSO
- 使用PSO算法来求解状态估计，测试算例为IEEE 33 test case，效果不错。-Distribution State Estimation (DSE) by using PSO algorithm
optimal-state-estimation
- 用于matlab的最优状态估计工具，用于状态估计和参数估计-optimal state estimation for matlab
kalmanestimate
- Kalman滤波在状态估计中的matlab编程，Kalman滤波是状态估计中比较常用的方法，可用于连续系统的状态估计-Kalman filter state estimation in the matlab programming, Kalman filter is more commonly used in state estimation method, can be used for continuous system state estimation
estimation
- 加权最小二乘法状态估计算法程序，可以算不同数量的节点。限制小，程序结构简单，简单易懂，讲解详细。还可以根据需要对目标函数以及残差进行每次迭代的输出。-Weighted least squares state estimation algorithm, can be used for different number of buses. Restrict small, program structure is simple, easy to understand, explain in detai
YuErjian_power-system
- 《电力系统状态估计》于尔铿 电科院于尔铿老师的《电力系统状态估计》一书是电力系统状态估计的经典著作，但因为是专业书籍，年代也比较早，一般的书店很难有卖- --" Power System State Estimation" in Erkeng EPRI in Erkeng teacher' s " power system state estimation," a book is a classic power system state est
kftry
- 卡尔曼滤波算法是一种状态估计算法，它是最小二乘法的特殊形式，所以，卡尔曼滤波算法也能做系统辨识，这个代码是自己写的，基于卡尔曼滤波算法的系统辨识，希望对大家有用-Kalman filter algorithm is a state estimation algorithm, which is a special form of least squares method, so the Kalman filter algorithm can do system identification, th
multi-target-tracking
- 多目标跟踪的主程序，包含跟踪起始，数据关联，目标状态估计等过程-The main process of multi-target tracking, including track initiation, data association, target state estimation process
kalman
- 这是一个使用卡尔曼滤波算法对一个匀速运动目标的状态估计 简单易懂 能运行-This is a use of a Kalman filter algorithm to estimate the state of uniform motion targets straightforward to run