I started to learn the Kalman filter. However, I couldn't understand its' difference with the feedback/feedforward control system. Ultimately both systems are used to minimize the errors between the measurement and estimated state.
Kalman filter is an optimum observer. It is not a controller itself. Think about a feedback control system. You have five state variables and you are getting the measurement of only two variables. You can use the Kalman filter to estimate the whole states. It is a model that measured outputs and control enters into filter and the estimated states computed.
check this link maybe help you Article A Kalman Filter Uses in Mexican Agriculture
Kalman filter is an optimum observer. It is not a controller itself. Think about a feedback control system. You have five state variables and you are getting the measurement of only two variables. You can use the Kalman filter to estimate the whole states. It is a model that measured outputs and control enters into filter and the estimated states computed.
Hi, I agree with Selim Sivrioglu, Kalman Filter is not a control structure itself. In fact, one could use KF as an extension of a control structure when only some of the state variables are measurable but you would like to know them all.
I recommend you to take a look at the following content:
https://www.mathworks.com/discovery/kalman-filter.html
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