Model Predictive Control Classical, Robust and Stochastic /

For the first time, a textbook that brings together classical predictive control with treatment of up-to-date robust and stochastic techniques. Model Predictive Control describes the development of tractable algorithms for uncertain, stochastic, constrained systems. The starting point is classical p...

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Bibliographic Details
Main Authors: Kouvaritakis, Basil (Author), Cannon, Mark (Author)
Corporate Author: SpringerLink (Online service)
Format: e-Book
Language:English
Published: Cham : Springer International Publishing : 2016.
Imprint: Springer,
Edition:1st ed. 2016.
Series:Advanced Textbooks in Control and Signal Processing,
Subjects:
Control engineering.
System theory.
Control theory.
Chemistry, Technical.
Automotive engineering.
Aerospace engineering.
Astronautics.
Control and Systems Theory.
Systems Theory, Control.
Industrial Chemistry.
Automotive Engineering.
Aerospace Technology and Astronautics.
Online Access:Full-text access
Table of Contents:
  • From the Contents: Introduction
  • Classical Model Predictive Control
  • Robust Model Predictive Control with Additive Uncertainty: Open-loop Optimization Strategies
  • Robust Model Predictive Control with Additive Uncertainty: Closed-loop Optimization Strategies.

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