Computationally Efficient Model Predictive Control Algorithms A Neural Network Approach /

• Main Author: Ławryńczuk, Maciej (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2014.
• Series: Studies in Systems, Decision and Control, 3
• Subjects: 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...

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.