eprintid: 649
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/06/49
datestamp: 2023-11-09 15:48:47
lastmod: 2023-11-09 15:48:47
status_changed: 2023-11-09 15:22:53
type: conference_item
metadata_visibility: show
creators_name: Wibowo, T.C.S.
creators_name: Saad, N.
creators_name: Karsiti, M.N.
title: System identification of an interacting series process for real-time model predictive control
ispublished: pub
keywords: Discrete-time; Dynamic characteristics; Empirical modeling; Gaseous pilot plant; Identification approach; Identification process; Input signal; Interacting process; Linear model; Non-Linearity; Open loops; Operating points; Predictive control; Real-time implementations; Real-time models; State space model; Steady state errors; Sub-space methods; System identifications, Closed loop control systems; Identification (control systems); Pilot plants; Predictive control systems; Real time control, Model predictive control
note: cited By 9; Conference of 2009 American Control Conference, ACC 2009 ; Conference Date: 10 June 2009 Through 12 June 2009; Conference Code:78162
abstract: 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
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-70449640063&doi=10.1109%2fACC.2009.5160239&partnerID=40&md5=75829dbfa1ba52901062566c8ba807a6
id_number: 10.1109/ACC.2009.5160239
full_text_status: none
publication: Proceedings of the American Control Conference
place_of_pub: St. Louis, MO
pagerange: 4384-4389
refereed: TRUE
isbn: 9781424445240
issn: 07431619
citation:   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.