Nonlinear Predictive Control Using Wiener Models : Computationally Efficient Approaches for Polynomial and Neural Structures
2022 ed.
Book Details
Format
Hardback or Cased Book
Book Series
Studies in Systems, Decision and Control
ISBN-10
3030838145
ISBN-13
9783030838140
Edition
2022 ed.
Publisher
Springer Nature Switzerland AG
Imprint
Springer Nature Switzerland AG
Country of Manufacture
GB
Country of Publication
GB
Publication Date
Sep 22nd, 2021
Print length
343 Pages
Product Classification:
Cybernetics & systems theoryMaths for engineersAutomatic control engineering
Ksh 23,400.00
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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.
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