In general, in linear MPC, n-step ahead prediction is done recursively using state space model. But how can we predict (n-step ahead prediction) the system output in case of nonlinear MPC (state space model is fully known).
See these links
https://www.researchgate.net/publication/224545920_Nonlinear_model_predictive_control_of_a_multistage_evaporator_system_using_recurrent_neural_networks
https://www.researchgate.net/publication/258029979_Nonlinear_Model_Predictive_Control_of_an_Evaporator_System_Using_Fuzzy-Neural_Model
Hi,
Here is a complete workshop on how to implement MPC and MHE in MATALB.
https://www.youtube.com/playlist?list=PLK8squHT_Uzej3UCUHjtOtm5X7pMFSgAL
The workshop shows a complete explanation of the implementation with coding examples. the codes are also provided!
You will see how the prediction is carried out for the example model used which happens to be nonlinear.
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