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Erschienen in:
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2011 | OriginalPaper | Buchkapitel

2. Lyapunov-Based Model Predictive Control

verfasst von : Panagiotis D. Christofides, Jinfeng Liu, David Muñoz de la Peña

Erschienen in: Networked and Distributed Predictive Control

Verlag: Springer London

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Abstract

In Chap. 2, some basic results on Lyapunov-based control, model predictive control and Lyapunov-based model predictive control of nonlinear systems are first reviewed and then two Lyapunov-based model predictive control (LMPC) designs for systems subject to data losses and time-varying measurement delays are presented. In order to provide guaranteed closed-loop stability results, the constraints that define the LMPC optimization problems as well as the implementation procedures are carefully designed to account for data losses (or asynchronous measurements) and time-varying measurement delays. The presented LMPC designs possess an explicit characterization of the closed-loop system stability region. Using a nonlinear chemical reactor example, it is demonstrated that the presented LMPC approaches are robust to data losses and measurement delays.

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Vorheriges Kapitel Introduction
Nächstes Kapitel Networked Predictive Process Control
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Metadaten
Titel
Lyapunov-Based Model Predictive Control
verfasst von
Panagiotis D. Christofides
Jinfeng Liu
David Muñoz de la Peña
Copyright-Jahr
2011
Verlag
Springer London
Buch
Networked and Distributed Predictive Control

Print ISBN: 978-0-85729-581-1

Electronic ISBN: 978-0-85729-582-8

Copyright-Jahr: 2011

DOI
https://doi.org/10.1007/978-0-85729-582-8_2

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