搜索资源列表
PF
- 粒子滤波算法做状态估计，以火星着陆器六自由度模型为例,测量模型包含火星轨道器和火星表面信标。-Particle Filter used for state estimations. The Mars lander 6DOF dynamic model is used as an example. The Mars orbiter and Mars beacons are used as measurements.
kalman-file
- 一种改进的自适应滤波器的状态估计，效果非常之好,是用MATLAB编写的，直接在matlab下运行就可以看到完美的滤波效果，自适应算法是sage—husa算法，较传统的滤波器有很大提高-An improved adaptive filter state estimates, the effect is very good, is written in MATLAB, directly in matlab running, you can see a perfect filtering effect
ckf
- 编程实现了关于发电机状态估计，采用改进的鲁棒ckf-Programming on the state of the generator to estimate the use of improved robust ckf.
ieee-30
- 实现了30节点的状态估计，对比了ekf,ukf,ckf和aukf-A 30-node state estimation is implemented, comparing ekf, ukf, ckf, and aukf
estimateSOC7state
- 利用m函数编写扩展卡尔曼滤波程序实现电池负荷状态估计-Using the m- function to Write the Extended Kalman Filter Program to Realize the Charge State Estimation
zsdxc61
- 状态估计和控制理论在现代控制理论中是密不可分的,它们互相渗透,辨识和-State estimation and control theory in modern control theory is inseparable, their mutual penetration, identification and
lheif-identiflcation
- 状态估计和控制理论在现代控制理论中是密不可分的,它们互相渗透,辨识和-State estimation and control theory in modern control theory is inseparable, their mutual penetration, identification and
mialion
- 输电网潮流及状态估计计算程序牛拉,高塞,PQ,直流等各种程序-The cow pull grid trend and state estimation calculation program, high plug, PQ, dc and other procedures
matpower6.0b2
- 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
bus-14
- matpower 状态估计子程序 自动获取各个bus总线上的参数信息(matpower estimation)
去噪滤波
- 利用粒子群算法对做CA运动的UUV进行目标状态估计，包括对观测数据的平滑滤波(The particle swarm algorithm (UUV) is used to estimate the target state of CA, including smoothing the observed data)
40379776
- 状态估计和控制理论在现代控制理论中是密不可分的,它们互相渗透,辨识和(State estimation and control theory in modern control theory is inseparable, their mutual penetration, identification and)
untitledkaerman - 副本
- 卡尔曼滤波用于状态估计和滤波处理有比较好的效果(Calman filtering is used for state estimation and filtering processin)
soc_estimation2
- 利用例子算法进行参数辨识后，状态哦观测器进行soc估计(the program is used to estimation the soc of the battery)
UKF
- UKF算法搭建simulink平台 用于汽车状态估计(UKF algorithm to build Simulink platform for vehicle state estimation)
Optimal State Estimation
- 关于最优状态估计的经典书籍，卡尔曼滤波和H无穷等方法的详细介绍，作者Dan Simon是真.大牛s(Classic book about optimal estimation and related methods, insight and detailed descr iption by the famous professor Dan Simon)
电动汽车SOC估计算法
- 在安时计量方法的基础上, 采用基于折算库仑效率的卡尔曼滤波算法估计蓄电池荷电状态(SOC),并 将此方法应用于 HEV6580混合动力电动汽车镍氢电池管理系统。系统实现的功能包括: 数据监测、数据显示、CAN 通信、SOC估计、热管理和安全报警。经电池试验台模拟工况试验验证, 电池管理系统各子系统达到设计要求且工 作稳定。改进 SOC估计方法解决了传统安时计量法不能估计初始 SOC、难于准确测量库仑效率的问题, 为电池管 理系统稳定工作提供保证(Based on the countin
4
- 选择扩张状态观测器来估计状态和未知输入，并计算滑模控制输入(The expansion state observer is selected to estimate the state and the unknown input, and the sliding mode control input is calculated.)
经典传统模糊门限航迹关联
- 模糊航迹关联算法的效果在很大程度上取决于目标状态估计方法,针对传统模糊综合算法在复杂环境下关联效果变差的问题,提出了一种改进的模糊综合航迹关联算法(The effect of fuzzy synthetic track association algorithm depends to a large extent on the target state estimation method. In order to solve the problem that the traditional fu
ab改进
- 针对传统α － β 滤波算法不够有效跟踪机动目标的问题， 详细分析了其内在原因， 提出一种改进的α － β 滤波算法。该算法不需要假定目标的机动模型， 而是将目标的机动加速度作为滤波状态直接估计出来， 将估计加速度作为输入控制量引入到传统α － β 滤波器的状态估计方程中进行机动目标的跟踪。然后将它与传统α － β 滤波算法进行比较， 证明了新的算法不仅具有传统算法计算量小的优点， 而且还可以对机动目标进行实时跟踪。仿真结果表明， 新算法在综合性能上明显优于传统算法。(In view of th