Nonlinear Predictive Control Using Wiener Models
Maciej Lawrynczuk
Broschiertes Buch

Nonlinear Predictive Control Using Wiener Models

Computationally Efficient Approaches for Polynomial and Neural Structures

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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 foun...