Explicit Nonlinear Model Predictive Control Theory and Applications /

• Κύριοι συγγραφείς: Grancharova, Alexandra (Συγγραφέας), Johansen, Tor Arne (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2012.
• Σειρά: Lecture Notes in Control and Information Sciences, 429
• Θέματα: Engineering.; System theory.; Statistical physics.; Complexity, Computational.; Control engineering.; Control.; Complexity.; Systems Theory, Control.; Nonlinear Dynamics.

Nonlinear Model Predictive Control (NMPC) has become the accepted methodology to solve complex control problems related to process industries. The main motivation behind explicit NMPC is that an explicit state feedback law avoids the need for executing a numerical optimization algorithm in real time...

Πίνακας περιεχομένων:

• Multi-parametric Programming
• Nonlinear Model Predictive Control
• Explicit NMPC Using mp-QP Approximations of mp-NLP
• Explicit NMPC via Approximate mp-NLP
• Explicit MPC of Constrained Nonlinear Systems with Quantized Inputs
• Explicit Min-Max MPC of Constrained Nonlinear Systems with Bounded Uncertainties
• Explicit Stochastic NMPC
• Explicit NMPC Based on Neural Network Models
• Semi-Explicit Distributed NMPC.