Identification Method based on q-Markov

q-Markov Cover에 기초한 동정법

We need build a mathematical to apply the system theory to real system, phenomenon analysis, prediction, control, simulation and so on. Especially system identification is building a model from input and output data. This study shows q-Markov Cover based system identification. When we do this, in order to make the identification possible under more general conditions with estimation of the system order, Markov parameters and covariance parameters from input and douput data, 1 suggest the way we can get an optimal model by estimating and Identifying of covariance matrix of observation noises repeatedly.