Nonlinear Predictive Control Using Wiener Models: Computationally Efficient Approaches for Polynomial and Neural Structures - Studies in Systems, Decision and Control - Maciej Lawrynczuk - Books - Springer Nature Switzerland AG - 9783030838171 - September 23, 2022
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Maciej Lawrynczuk
Nonlinear Predictive Control Using Wiener Models: Computationally Efficient Approaches for Polynomial and Neural Structures - Studies in Systems, Decision and Control 2022 edition

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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.

343 pages, 121 Illustrations, color; 46 Illustrations, black and white; XXIII, 343 p. 167 illus., 12

Media Books     Paperback Book   (Book with soft cover and glued back)
Released September 23, 2022
ISBN13 9783030838171
Publishers Springer Nature Switzerland AG
Pages 343
Dimensions 150 × 220 × 10 mm   ·   563 g
Language German  

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