<> "The repository administrator has not yet configured an RDF license."^^ . <> . . . "System identification of an interacting series process for real-time model predictive control"^^ . "This paper presents the empirical modeling of the gaseous pilot plant which is a kind of interacting series process with presence of nonlinearities. In this study, the discrete-time identification approach based on subspace method with N4SID algorithm is applied to construct the state space model around a given operating point, by probing the system in open-loop with variation of input signals. Three practical approaches are used and their performances are compared to obtain the most suitable approach for modeling of such a system. The models are also tested in the real-time implementation of a linear model predictive control. The selected model is able to well reproduce the main dynamic characteristics of gaseous pilot plant in open loop and produces zero steady-state errors in closed loop control system. Several issues concerning the identification process and the construction of MIMO state space model are discussed. © 2009 AACC."^^ . "2009" . . . "Proceedings of the American Control Conference"^^ . . . "07431619" . . . . . . . . . . . . . "N."^^ . "Saad"^^ . "N. Saad"^^ . . "M.N."^^ . "Karsiti"^^ . "M.N. Karsiti"^^ . . "T.C.S."^^ . "Wibowo"^^ . "T.C.S. Wibowo"^^ . . . . . "HTML Summary of #649 \n\nSystem identification of an interacting series process for real-time model predictive control\n\n" . "text/html" . .