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 trajector...
Guardado en:
| Autor principal: | |
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| Formato: | Libro electrónico |
| Lenguaje: | Inglés |
| Publicado: |
Cham :
Springer International Publishing : Imprint: Springer,
2014.
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| Colección: | Studies in Systems, Decision and Control,
3 |
| Materias: | |
| Acceso en línea: | http://dx.doi.org/10.1007/978-3-319-04229-9 |
| Aporte de: | Registro referencial: Solicitar el recurso aquí |
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.