Nonlinear predictive control using Wiener models : computationally efficient approaches for polynomial and neural structures / Maciej Ławryńczuk.
Ławryńczuk, Maciej, author.
2022
TJ217.6 .L38 2022
Available Online

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Title Nonlinear predictive control using Wiener models : computationally efficient approaches for polynomial and neural structures / Maciej Ławryńczuk.
Author Ławryńczuk, Maciej, author.
ISBN 9783030838157 (electronic bk.)
3030838153 (electronic bk.)
9783030838140
3030838145
DOI https://doi.org/10.1007/978-3-030-83815-7
Published Cham : Springer, [2022]
Copyright ©2022
Language English
Description 1 online resource : illustrations (chiefly color)
Item Number 10.1007/978-3-030-83815-7 doi
Call Number TJ217.6 .L38 2022
Dewey Decimal Classification 629.8
Summary This book presents computationally efficient MPC solutions. The classical model predictive control (MPC) approach to control dynamical systems described by the Wiener model uses an inverse static block to cancel the influence of process nonlinearity. Unfortunately, the model's structure is limited, and it gives poor control quality in the case of an imperfect model and disturbances. An alternative is to use the computationally demanding MPC scheme with on-line nonlinear optimisation repeated at each sampling instant. A linear approximation of the Wiener model or the predicted trajectory is found on-line. As a result, quadratic optimisation tasks are obtained. Furthermore, parameterisation using Laguerre functions is possible to reduce the number of decision variables. Simulation results for ten benchmark processes show that the discussed MPC algorithms lead to excellent control quality. For a neutralisation reactor and a fuel cell, essential advantages of neural Wiener models are demonstrated.
Bibliography, etc. Note Includes bibliographical references and index.
Access Note Access limited to authorized users.
Digital File Characteristics text file
PDF
Series Studies in systems, decision and control ; v. 389. 2198-4190
Available in Other Form Print version: 9783030838140
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Record Appears in Online Resources > Ebooks
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Introduction to Model Predictive Control
MPC Algorithms Using Input-Output Wiener Models
MPC Algorithms Using State-Space Wiener Models
Conclusions
Index.

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