Examples of State Space Model Identification

This recursive equation for different values of n becomes  

In this section the development of linear as well as non-linear Wiener models will be illustrated. 

25 Discrete Linear and Non-linear State Space Modeling 

Load data from file boxj input=MethFd, output=C02Conc 

The data are loaded, detrended, and function n4sid is used to develop the model. The state space model explains 92.7% of the variance in the process output, whereas the ARX model explains 92.4% of the variance, hence the performance of the models is similar. 

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