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ZHUANGTAI
- 状态空间模型 加强ＭＡＴＬＡＢ学习 很有用的 -state-space model to strengthen MATLAB very useful learning
SequentialSamplingImportanceResampling(SIR)
- this demo is to show you how to implement a generic SIR (a.k.a. particle, bootstrap, Monte Carlo) filter to estimate the hidden states of a nonlinear, non-Gaussian state space model.-this demo is to show you how to implement a ge neric SIR (a.k.a. pa
svdnew
- PMSM直接转矩控制系统的空间辨识,辨识出系统介次,和状态空间模型,从而调节控制器参数-PMSM Direct Torque Control System Identification, identify system Kaiji, and the state-space model, adjust the controller parameters
hybridSIREKF
- To estimate the input-output mapping with inputs x ％ and outputs y generated by the following nonlinear, ％ nonstationary state space model: ％ x(t+1) = 0.5x(t) + [25x(t)]/[(1+x(t))^(2)] ％ + 8cos(1.2t) + process noise ％ y(t) = x(t)^(2) / 2
state-space model used for wind turbine
- state-space model used for wind turbine simulations,state-space model used for wind turbine simulations
zhuangtaiyijie
- 预测模型为状态空间模型预测函数控制MATLAB程序，包括一阶、二阶、高阶跟踪阶跃，斜坡-Prediction model for the state space model predictive functional control MATLAB procedures, including first, second, high-tracking step, ramp
particale_filters
- 粒子滤波器是通过蒙特卡罗模拟来实现递归贝叶斯滤波，它不需要线性、高斯噪声的假设，适用于任何能用状态空间模型表示的非线性系统，比卡尔曼滤波器的适用范围广。这里给出了几个粒子滤波的matlab编程实例。-Particle filters are using Monte Carlo simulations to achieve the recursive Bayesian filtering, it does not require linear, Gaussian noise assumptions
VSC_HVDC1a_lianxudy
- HVDC Light连续时间状态空间模型的Matlab仿真-HVDC Light continuous time state space model of the Matlab simulation
Untitled11134
- 状态空间的预测控制.仿真里写的是一个二维的例子.-State-space predictive control. Simulation write a two-dimensional example.
xiandaikongzhililun
- 电力牵引电机控制，设计的目的是用MatLab得到系统的状态空间模型，计算系统的传递函数。并预测系统的阶跃响应，并判断系统是否能控和能观。-Electric traction motor control, is designed to be used MatLab system state space model to calculate the system transfer function. And predict the system step response and determine
tuoluo_piaoyi_feipingwenshijian
- 将非平稳时间序列的状态空间建模方法用于陀螺过渡过程的分析.基于平滑先验约束的概念，使用卡尔曼滤波和赤池的AIC方法拟合全局模型，得到陀螺漂移模型的若干数值结果并用于陀螺系统分析.由于观测序列的趋势项、不规则分量可同时建模，因此比分别建模在统计上更加准确有效.-Will be non-stationary time series state space modeling method for the analysis of the transition process gyro. Priori s
ekf
- The state space model is nonlinear and is input to the function along with the current measurement. The function performs the extended Kalman filter update and returns the estimated next state and error covariance MATLAB 7.6 (R2008a)
extended-kalman-filter
- The state space model is nonlinear and is input to the function along with the current measurement. The function performs the extended Kalman filter update and returns the estimated next state and error covariance
ssm-1.0.1
- state space model - john aston
statespacemodel1
- state space model of system sampling time
state-spae
- 通过建立状态空间模型，使用simulink仿真，其中包括了kalman滤波-Through the establishment of the state space model, using the simulink simulation, including the kalman filter
MIMOfeedback
- 多输入多输出系统的状态空间simulink模型，可以直接在里面修改运行获得阶跃响应-MIMO viarieble system with state space model
State-space-model-4
- Motion Planning for Humanoid Robots Using Timed Petri Net and Modular State Net
model-identification
- 系统辨识工具箱，使用时域和频域响应数据的传递函数、处理模型和状态-空间模型识别。-System identification toolbox, the use of time domain and frequency domain response data of the transfer function, process model and state space model identification.
sharath1
- to find the state space model