Computationally Efficient Model Predictive Control Algorithms A Neural Network Approach /

• Κύριος συγγραφέας: Ławryńczuk, Maciej (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2014.
• Σειρά: Studies in Systems, Decision and Control, 3
• Θέματα: Engineering.; Artificial intelligence.; Computational intelligence.; Control engineering.; Computational Intelligence.; Control.; Artificial Intelligence (incl. Robotics).

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 succ...

Πίνακας περιεχομένων:

• MPC Algorithms
• MPC Algorithms Based on Double-Layer Perceptron Neural Models: the Prototypes
• MPC Algorithms Based on Neural Hammerstein and Wiener Models
• MPC Algorithms Based on Neural State-Space Models
• MPC Algorithms Based on Neural Multi-Models
• MPC Algorithms with Neural Approximation
• Stability and Robustness of MPC Algorithms
• Cooperation Between MPC Algorithms and Set-Point Optimisation Algorithms.