Identification of nonlinear control models using volterra-laguerre series

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Title Identification of nonlinear control models using volterra-laguerre series
Publication Type dissertation
School or College College of Engineering
Department Chemical Engineering
Author Smith, Dale A
Date 2010
Description Linear model predictive control has been widely accepted in industry as an important tool for the operation of difficult interacting processes. Linear identification and control techniques are well developed and well understood. In the industry, it is rare to find a system that is truly linear. While for many systems linear modeling and control can approximate their performance in certain regions, there exist some systems whose nonlinearity is great enough that an approximate linear model and control scheme cannot yield the desired accuracy. In order to control these more complex nonlinear systems, significant research has been dedicated to extending model predictive control to nonlinear systems.
Type Text
Publisher University of Utah
Subject Control; Dynamic models; Identification; Laguerre; MPC; Volterra
Subject LCSH Volterra series; Laguerre polynomials; Nonlinear control theory
Dissertation Institution University of Utah
Dissertation Name PhD
Language eng
Rights Management ©Dale A. Smith
Format application/pdf
Format Medium application/pdf
Format Extent 936,329 bytes
Source Original in Marriott Library Special Collections, QA3.5 2010 .S55
ARK ark:/87278/s69c7c1r
Setname ir_etd
ID 193436
Reference URL https://collections.lib.utah.edu/ark:/87278/s69c7c1r
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