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kalman
- kalman观测器的设计例子，并且对设计出来的系统进行阶跃响应，可观测响应图形-kalman observer design example
smooth
- 假设用一观测器从t=1秒开始对一个运动目标的距离进行连续地跟踪测量，假设观测的间隔为一秒钟，雷达到运动目标之间的距离为 常数 分析上述对象，建立系统模型，构造卡尔曼滤波器，编程计算，求： 距离S(t-5)的最佳平滑及估计误差， -Suppose observer with a t = 1 seconds starting from a continuously moving target tracking distance measurement, assuming a second
2InvertedPendulum
- 单级倒立摆二级倒立摆simulink model and mutiple control aglorithms Full order observer Full order observer with Kalman filter Poleß Placement method LQR optimization-Single-stage inverted pendulum inverted pendulum simulink model and mutiple cont
obs_kalman
- Kalman observer for MIMO systems
470
- This paper proposes an exact (Kalman-like) observer for the simultaneous state and parameter estimation in asynchronous motors - including speed and resistant torque estimation -, as well as a simulation study of its use under an estimate-based
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
OKID
- Several modal identification techniques have been developed in the past few decades, and their use is rapidly expanding due to new focus on the instrumentation of major structures. This paper focuses on the expansion of the eigenvalue realization a
OKID_Rev
- Several modal identification techniques have been developed in the past few decades, and their use is rapidly expanding due to new focus on the instrumentation of major structures. This paper focuses on the expansion of the eigenvalue realization a
adaptive-state-Observer
- 使用卡尔曼滤波技术对一类具有干扰的非线性系统设计观测器。-Kalman filtering technique designed for a class of nonlinear systems with disturbance observer.
kalman
- 卡尔曼滤波程序，可以使用卡尔曼滤除多于的噪声程序，在观测器设计方面应用很广，很适合新手学习。-Kalman filtering program, you can use a Kalman filter out more noise procedures, observer design application is very wide, it is suitable for beginners to learn.
Nouveau WinRAR ZIP archive
- The paper deals with the application of the Extended Kalman Filter and the Extended Luenberger Observer algorithms for the stator and rotor fault detection of the induction motor fed by PWM inverter. The induction motor conditions are analyzed usin
matlab-example
- 一个很简单的学习例子，标注很清楚，是一个二阶的状态方程，可以很快学到如何建立卡尔曼滤波观测器(A very simple learning example, clearly labeled Is a second-order equation of state, and you can learn very quickly how to set up a kalman filter observer)