good morning,

My subject of my PhD was part of dynamic stochastic modeling of hydrological phenomena for real-time prediction purposes, which requires adaptive mode, which involves the use of a model with a retroactive structure which makes the output of the model This is a case study of the Kalman filter (FK), it is a new approach in the field of Hydrology, It is an online prediction that not only provides optimal multi-site predictions but also predictions that take into account the dynamic nature of the rainfall itself.

But for your question it must be a very good scientific research...Good luck

If your system is truly steady state then I don't see how a Kalman filter will help. If it is unsteady state that progresses to an equilibrium point then a Kalman filter will work. You may need to add additional logic to decide that the steady-state point has been reached and switch off updating.

Hi dear,

Thanks for the question. Yes, I agree with Jeremy, if the system is a steady state, we don't use kalman filter. We can do otherwise.

Regards!

Adel

Thanks Samra, Adel and Jeremy

You may want to check also this similar discussion: https://www.researchgate.net/post/Is_Kalman_filtering_applicable_in_cases_with_steady-state_measurements

Thanks Prof. Carlos Araújo Queiroz

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