Description: 上研究生时写的扩展卡尔曼滤波程序（EKF），带测试例子，可编译执行-When the graduate writing program of the extended Kalman filter (EKF), with the test example, the implementation can be compiled Platform: |
Size: 1610752 |
Author:杨文海 |
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Description: 该程序实现的是扩展卡尔曼粒子滤波，即采用扩展卡尔曼滤波得到粒子滤波的建议分布，粒子滤波再从其中采样进行滤波。-The program implementation is the extended Kalman particle filter, that is, extended Kalman filter using the particle filter proposal distribution, the particle filter and then is filtered from one sample. Platform: |
Size: 27648 |
Author:CXChou |
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Description: 用JAVA编写的SLAM程序 实现扩展卡尔曼滤波方法-SLAM with a JAVA program written in extended Kalman filter implementation Platform: |
Size: 1142784 |
Author:LAN |
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Description: An implementation of Unscented Kalman Filter for nonlinear state estimation.-Nonlinear state estimation is a challenge problem. The well-known Kalman Filter is only suitable for linear systems. The Extended Kalman Filter (EKF) has become a standarded formulation for nonlinear state estimation. However, it may cause significant error for highly nonlinear systems because of the propagation of uncertainty through the nonlinear system.
The Unscented Kalman Filter (UKF) is a novel development in the field. The idea is to produce several sampling points (Sigma points) around the current state estimate based on its covariance. Then, propagating these points through the nonlinear map to get more accurate estimation of the mean and covariance of the mapping results. In this way, it avoids the need to calculate the Jacobian, hence incurs only the similar computation load as the EKF.
For tutorial purpose, this code implements a simplified version of UKF formulation, where we assume both the process and measurement noises are additive to avoid augment of state and a Platform: |
Size: 2048 |
Author:DT丿灬雪狼 |
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Description: Extended Kalman Filter implementation, to determine the position a mobile robot. This implementation takes into consideration the Time-Variance Platform: |
Size: 91136 |
Author:Mustafa |
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Description: This Paper mainly deals with the implementation of vector control technique using the brushless DC motor
(BLDC). Generally tachogenerators, resolvers or incremental encoders are used to detect the speed. These
sensors require careful mounting and alignment, and special attention is required with electrical noises. A
speed sensor need additional space for mounting and maintenance and hence increases the cost and size of
the drive system. These problems are eliminated by speed sensor less vector control by using Extended
Kalman Filter and Back EMF method for position sensing. By using the EKF method and Back EMF
method, the sensor less vector control of BLDC is implemented and its simulation using
MATLAB/SIMULINK and hardware kit is implemented. Platform: |
Size: 484352 |
Author:matija |
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Description: UKF代码，高效实现非线性卡尔曼滤波，算法精度与二阶扩展卡尔曼滤波相当，赶快下载吧。(UKF code, efficient implementation of nonlinear Kalman filter, the accuracy of the algorithm is equivalent to the two - order extended Kalman filter, quickly download it.) Platform: |
Size: 149504 |
Author:gxm1456 |
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Description: VirtualArena是用于控制设计和系统仿真的面向对象的Matlab集成开发环境，其实现目标如下:
1)避免重新实现大多数项目共有的功能，例如:
-离散化策略(例如欧拉向前，龙格库塔，…)
-系统线性化的雅可比计算方法，例如基于符号或样本的方法
-实施标准车辆动力学，如独轮车或类似无人机的车辆，并实施不同的姿态表示，如旋转矩阵或四元数
-状态观测器自动生成，例如扩展卡尔曼滤波器(EKF)
-基于网络的控制器的实施结构
- …
2)建立一套通用接口，允许独立设计和集成不同的组件(例如，车辆模型、控制器、传感器、观察器、...)并实施可重用/透明/易于调试的编程风格。(Virtualarena is an object-oriented matlab integrated development environment for control design and system simulation. Its implementation objectives are as follows:
1) Avoid re implementing features common to most projects, such as:
-Discretization strategies (e.g. Euler forward, longkutta,...) )
-Jacobian calculation methods for system linearization, such as symbol based or sample based methods
-Implement standard vehicle dynamics, such as wheelbarrow or similar UAV vehicles, and implement different attitude representations, such as rotation matrix or quaternion
-Automatic generation of state observers, such as extended Kalman filter (EKF)
-Implementation structure of network-based controller
-...
2) Establish a common set of interfaces that allow independent design and integration of different components (e.g., vehicle models, controllers, sensors, viewers,...) and implement a reusable / transparent / easy to debug programming style.) Platform: |
Size: 5682176 |
Author:吴阿斗 |
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