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...

Descripción completa

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Ławryńczuk, Maciej (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cham : Springer International Publishing : Imprint: Springer, 2014.
Edición:1st ed. 2014.
Colección:Studies in Systems, Decision and Control, 3
Temas:
Computational intelligence.
Control engineering.
Artificial intelligence.
Computational Intelligence.
Control and Systems Theory.
Artificial Intelligence.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • 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.

Ejemplares similares