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Description: The Kalman filter is an efficient recursive filter that estimates the state of a linear dynamic system from a series of noisy measurements. It is used in a wide range of engineering applications from radar to computer vision, and is an important topic in control theory and control systems engineering. Together with the linear-quadratic regulator (LQR), the Kalman filter solves the linear-quadratic-Gaussian control problem (LQG). The Kalman filter, the linear-quadratic regulator and the linear-quadratic-Gaussian controller are solutions to what probably are the most fundamental problems in control theory.
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Size: 306176 |
Author: vignesh |
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Description: 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 control aglorithms Full order observer Full order observer with Kalman filter Poleß Placement method LQR optimization
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Size: 48128 |
Author: Sophie Li |
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Description: 该文件是Matlab LQG算法，包括LQR和LQG和Kalman滤波的比较，对无人机电机控制-LQG Control
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Size: 18432 |
Author: |
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Description: Linear Quadratic Gaussian (LQR) controller and Kalman Filter (KF) both are robust when acting separately, but this property is lost if using them together.
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Size: 2033664 |
Author: karimano |
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