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system identification of an interacting process for a real time model preditive control 1.0
File ID: 84533






system identification of an interacting process for a real time model preditive control 1.0
Download system identification of an interacting process for a real time model preditive control 1.0http://www.mathworks.comReport Error Link
License: Shareware
File Size: 430.1 KB
Downloads: 19
Submit Rating:
system identification of an interacting process for a real time model preditive control 1.0 Description
Description: This paper presents the empirical modeling of the
gaseous pilot plant which is a kind of interacting series process
with presence of non linearities. In this study, the discrete-time identification approach based on subspace method with N4SIDalgorithm 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.
Index Termsd-deOCLGaseous pilot plant, Serial interacting process,
Empirical modeling, Model predictive control (MPC)

License: Shareware

Related: Implementation, Realtime, tested, Linear, predictive, Selected, Control, Models, suitable, approaches

O/S:BSD, Linux, Solaris, Mac OS X

File Size: 430.1 KB

Downloads: 19



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