relation: https://khub.utp.edu.my/scholars/649/
title: System identification of an interacting series process for real-time model predictive control
creator: Wibowo, T.C.S.
creator: Saad, N.
creator: Karsiti, M.N.
description: 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.
date: 2009
type: Conference or Workshop Item
type: PeerReviewed
identifier:   Wibowo, T.C.S. and Saad, N. and Karsiti, M.N.  (2009) System identification of an interacting series process for real-time model predictive control.  In: UNSPECIFIED.     
relation: https://www.scopus.com/inward/record.uri?eid=2-s2.0-70449640063&doi=10.1109%2fACC.2009.5160239&partnerID=40&md5=75829dbfa1ba52901062566c8ba807a6
relation: 10.1109/ACC.2009.5160239
identifier: 10.1109/ACC.2009.5160239