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wyszukanych pozycji: 3
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Nonlinear Predictive Control Using Wiener Models: Computationally Efficient Approaches for Polynomial and Neural Structures
ISBN: 9783030838171 / Angielski / Miękka / 2022 Termin realizacji zamówienia: ok. 20 dni roboczych. 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...
This book presents computationally efficient MPC solutions. The classical model predictive control (MPC) approach to control dynamical systems de...
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cena:
586,33 zł |
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Computationally Efficient Model Predictive Control Algorithms: A Neural Network Approach
ISBN: 9783319350219 / Angielski / Miękka / 2016 / 316 str. Termin realizacji zamówienia: ok. 20 dni roboczych. This book thoroughly discusses computationally efficient (suboptimal) Model Predictive Control (MPC) techniques based on neural models. The subjects treated include: - A few types of suboptimal MPC algorithms in which a linear approximation of the model or of the predicted trajectory is successively calculated on-line and used for prediction. - Implementation details of the MPC algorithms for feed forward perceptron neural models, neural Hammerstein models, neural Wiener models and state-space neural models. - The MPC algorithms based on neural multi-models (inspired by... This book thoroughly discusses computationally efficient (suboptimal) Model Predictive Control (MPC) techniques based on neural models. The subject... |
cena:
390,87 zł |
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Computationally Efficient Model Predictive Control Algorithms: A Neural Network Approach
ISBN: 9783319042282 / Angielski / Twarda / 2014 / 316 str. Termin realizacji zamówienia: ok. 20 dni roboczych. This book thoroughly discusses computationally efficient (suboptimal) Model Predictive Control (MPC) techniques based on neural models. The subjects treated include: - A few types of suboptimal MPC algorithms in which a linear approximation of the model or of the predicted trajectory is successively calculated on-line and used for prediction. - Implementation details of the MPC algorithms for feed forward perceptron neural models, neural Hammerstein models, neural Wiener models and state-space neural models. - The MPC algorithms based on neural multi-models (inspired by... This book thoroughly discusses computationally efficient (suboptimal) Model Predictive Control (MPC) techniques based on neural models. The subject... |
cena:
390,87 zł |
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