Computationally Efficient Model Predictive Control Algorithms A Neural Network Approach /

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...

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Bibliographic Details
Call Number:Libro Electrónico
Main Author: Ławryńczuk, Maciej (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:Inglés
Published: Cham : Springer International Publishing : Imprint: Springer, 2014.
Edition:1st ed. 2014.
Series:Studies in Systems, Decision and Control, 3
Subjects:
Computational intelligence.
Control engineering.
Artificial intelligence.
Computational Intelligence.
Control and Systems Theory.
Artificial Intelligence.
Online Access:Texto Completo
Table of Contents:
  • 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.

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