搜索资源列表
xitongbianshi
- 应用一般最小二乘法与递推式最小二乘法对二阶系统进行参数辨识-RLS
Optimalstateestimationandsystemidentification
- 最优状态估计与系统辨识,讲述了如何进行参数辨识。-Optimal state estimation and system identification, described how the parameter identification.
DIANJI
- 异步电机参数的在线辨识研究/基于模型参考自适应的异步电动机转动惯量的辨识/交流感应电机的参数辨识及数字控制技术研究;基于大功率异步电机。硕士论文,对理论说明非常好,而且还有实验仿真说明-Induction motor parameter identification online research, based on high-power induction motors. Master' s thesis, a very good descr iption of the theory,
batchML2
- 递推最小二乘法 系统辨识 参数辨识 matlab仿真-Recursive least squares method
ga_main.m
- 利用遗传算法辨识未知参数,其中使用的是matlab语言,利用选择、交叉、变异三个步骤求的满足函数值最大的参数值(Identification of unknown parameters by genetic algorithm)
bianshi
- 递推最小二乘法辨识参数 MATLAB例程(Recursive least square method to identify parameters)
pso
- 粒子群算法,也称粒子群优化算法或鸟群觅食算法(Particle Swarm Optimization),缩写为 PSO。它具有精度高,收敛快等优点,广泛用于系统辨识、函数优化等领域。文件pso.m是粒子群算法辨识程序,在此基础上,需要自行编写目标函数计算程序以实现不同系统的参数辨识。(Particle swarm optimization (PSO), also known as particle swarm optimization algorithm or bird swarm foragi
LSM_identification
- 基于最小二乘的系统辨识程序,可以实现对ARMAX模型的参数辨识,内容包含了单次最小二乘辨识算法和递推最小二乘算法的实现(the system identification method based on LSM.)
suijixingjiaozheng
- 随机性问题梯度校正参数辨识方法,系统辨识课的作业(Parameter identification method for gradient correction of stochastic problem)
Bouc-Wen参数识别参考程序
- 基于bouc-wen模型的参数辨识matlab程序(parameter identification)
Jiles-Atherton_PSO
- 对Jiles-Atherton磁滞模型的5个参数进行辨识(Identification of 5 parameters of the Jiles-Atherton hysteresis model)
自适应控制(有突变无阶次辨识)
- 带遗忘因子的递推最小二乘参数估计以及带有辅助变量的广义最小方差自校正控制算法及结果,源码可找我要(Recursive Least Squares Parameter Estimation with Forgetting Factor and Generalized Minimum Variance Self-Tuning Control Algorithm with Auxiliary Variables and Results)
lqz_ga
- 上述两个文件分别是遗传算法和包括侧倾的三自由度车辆模型,遗传算法(GA)主要用于辨识三自由度车辆模型参数,主要辨识的参数有前后轴等效侧偏刚度、整车绕X轴和Z轴的转动惯量、质心位置、悬架侧倾刚度和阻尼等关系参数。(The above two files are respectively a genetic algorithm and a three-degree-of-freedom vehicle model including a roll. The genetic algorithm (GA
1
- 最小二乘法的系统参数辨识函数,可以辨识任意的线性函数,效果比其他的一般的最小二乘法好(The system parameter identification function of least squares method can identify any linear function, and the effect is better than other ordinary least squares method.)
EKF10积分
- 参数辨识以及扩展卡尔曼滤波算法的SOC估算(Battery Model Parameter Estimation Using a Layered Technique)
EKF调通过的程序m语言
- 离线辨识的二阶电池模型的参数,可以实现EKF的soc估算(Off-line identification of parameters of second-order battery model can realize SOC estimation of EKF)
MP
- 给定基于MP模型的的模拟PA,采用RLS算法辨识参数,并构建PA,在使用基于MP模型的DPD对PA实现非线性的改善。(Given the simulated PA based on MP model, RLS algorithm is used to identify the parameters, and PA is constructed. DPD based on MP model is used to improve the nonlinearity of PA.)
自适应的永磁同步电机
- 基于MRAS模型参考自适应的永磁同步电机PMSM在线参数辨识MATLAB仿真模型,可辨识电机定子电阻、电感和永磁磁链,辨识精度比较高。(Based on the MRAS model reference adaptive PMSM on-line parameter identification matlab simulation model, the stator resistance, inductance and permanent flux can be identified, and
锂离子电池模型
- 可用于锂电池模型建立,利用最小二乘法进行参数辨识与仿真分析(Second order RC equivalent circuit model)
NExT模态参数辨识法
- NExT模态参数辨识法,,用来实现振荡信号的分析与提取,程序作为一个参考,基本能够使用