搜索资源列表
f_pf
- EKF_PF 基于扩展kalman的粒子滤波 可解决非线性状态估计问题-EKF_PF particle filter based on extended Kalman can solve nonlinear state estimation problems
state-space
- 结合状态空间和最小二乘估计算法对动态系统未知参数的辨识。-Combined state and least squares parameter estimation algorithms for dynamic systems
05358116
- Joint State Estimation and Prediction in Noisy Wireless Sensor Networks
Code
- Optimal state estimation源码-optical state estimation
www.iitmandi.ac.in_ciare_files_9_Ashwani_Power_Sy
- this paper on state estimation
SE
- 一个简单的以IEEE13和IEEE30节点系统为例的电力系统状态估计算例，是一个比较好的学习例子-A simple to IEEE13 IEEE30 bus system and power system state estimation example, is a good example of learning
stateestimation_with_kalmanfilter
- state estimation for navigation system
kalman_predict_correct
- 本例是使用kalman filter作为状态观测器，对直流无刷电机的状态进行观测。从结果可以看出，对状态估计的效果非常的好-This example is the use of kalman filter as an observer state, the state of brushless DC motors were observed. As can be seen the results of state estimation of the effect is very good
UKF
- 基于UKF的目标状态估计,圆形运动轨迹，单目标-target state estimation based on UKF
P
- WLS的电力系统状态估计，能够迅速完成节点迭代-WLS state estimation of power system that can quickly complete node iterator
FitzHughNagumo
- 采用无迹卡尔曼滤波器(unscented kalman filter, UKF)对FitzHugh-Nagumo动力学系统进行状态估计滤波-unscented kalman filter(UKF) is applied to state estimation(target tracking).
EKFforGPSStateEsitimation
- 采用扩展卡尔曼滤波器对GPS信号进行状态估计滤波，实现对状态的鲁棒跟踪，可用于目标跟踪、系统自动控制、惯性导航、组合导航等领域-extended kalman filter is used to state estimation of information of GPS signal, performing robust, prefering applied to target tracking(object tracking), automation, ins navigation
code
- 1.CAmodelfusion.m 主要功能： （1）完成两个传感器各自对基于CA模型的目标状态的Kalman估计； （2）实现传感器的局部状态估计的SCC和CI融合算法的实现； （3）画出局部估计和两种融合估计的位置、速度、加速度的误差； （4）画出局部估计和两种融合估计的协方差椭圆。 2.CVmodelfusion.m 主要功能： 功能与CAmodelfusion.m基本相似，差异在于实现基于CV模型的估计和估计融合。 3.CovInter.m
ffun
- 针对非线性系统的卡尔曼滤波状态估计 很有参考价值，可做修改-Kalman filter for state estimation of nonlinear systems of great reference value, do modification
Markov-jump-linear-systems
- A novel truncated approximation based algorithm for state estimation of discrete-time Markov jump linear systems
zuixiaoercheng
- 实现基于加权最小二乘法的电力系统状态估计算法，以于老师写的书里面四节点算例仿真-Implementation based on weighted least-square method of power system state estimation algorithm, with the teacher wrote the book four node example simulation
UAV-Target
- 无人机跟踪匀速目标状态估计，无人机和目标距离1000直线飞行，光电头对准目标-UAV track uniform target state estimation
03thesis
- A Fuzzy-Kalman Filtering Strategy for State Estimation
PF
- 线性二自由度车辆模型状态参数估计粒子滤波算法，车辆理想状态向量已和观测向量已给出-Linear two degrees of freedom vehicle model state estimation particle filter, vehicle and observation over the state vector has been given vector
-abnormal-state-detection
- 复杂环境下基于人群密度估计和人群运动检测的异常事件检测。-Complex environment based on population and population density estimation motion detection of abnormal events detected.