Nonlinear Predictive Control Using Wiener Models

Computationally Efficient Approaches for Polynomial and Neural Structures

Häftad, Engelska, 2022

Av Maciej Ławryńczuk, Maciej Lawrynczuk, Maciej Lawryńczuk, Maciej ¿Awry¿Czuk

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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.

Produktinformation

Utgivningsdatum2022-09-23
Mått155 x 235 x 20 mm
Vikt557 g
FormatHäftad
SpråkEngelska
SerieStudies in Systems, Decision and Control
Antal sidor343
FörlagSpringer Nature Switzerland AG
ISBN9783030838171

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“The present book provides computationally efficient MPC (model predictive control) solutions as an alternative for the classical one, which has a limited structure, giving poor control quality in the case of an imperfect model and disturbances. The book is of real interest for all researchers working in control theory, optimization, engineering and economics.” (Savin Treanta, zbMATH 1510.93001, 2023)