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for feedback control
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Hi everyone,
I was wondering if anyone can help me with the KalmanFilter class in statsmodels.
I have been trying to improve my forecast models using pykalman library.
But I recently noticed that it t…
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As briefly talked about at ROScon: In many Kalman-Filter based state estimators, sensor biases can be estimated to improve accuracy. This is commonly done for gyro and accelerometer biases in all kind…
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Hello Everyone,
I'm trying to run this launch file,
```
roslaunch bitcraze_lps_estimator dwm_loc_ekf_hover.launch uri:=usb://0
```
(With all the copter parts removed ofcourse)
But this error…
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[Predictive error minimisation](https://www.sciencedirect.com/science/article/pii/S1474667017539762?via%3Dihub) (PEM) differs from 'vanilla' maximum likelihood estimation (MLE) in the assumptions made…
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Sorry to bother you. Right now I am using this drift project to estimate my biped robot. But I found there are many delays of my estimated orientation and COM position in world frame. What can I do to…
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In efforts to make a python binding of the controllers, we have come across a potential problem. We noticed that the PID controller is a bit too coupled with the state estimation in the sense that it …
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- [x] #5
- use the bicycle model
- ~~or learn a model using deep learning and data from the actual car~~ **requires localization**
- [x] #6
- use a render engine/game engine. I think blender…
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Diffrax docs' [Kalman Filter Example](https://docs.kidger.site/diffrax/examples/kalman_filter/) encouraged me to apply diffrax to other linear-quadratic control problems, such as the following
``` ma…