Traditional parametric system identification methods usually rely on apriori knowledge of the targeted system,which may not always be available,especially for complex systems.Although neural networks(NNs)have been inc...
We consider the sparse identification of multivariate ARX systems, i.e., to recover the zero elements of the unknown parameter matrix. We propose a two-step algorithm, where in the first step the stochastic gradient (...
The district heating system(DHS)consumes a lot of energy in winter,and its control accuracy needs to be improved urgently.To apply advanced process control(APC)in DHS,the thermal dynamic model of the existing building...