Economic model predictive control using Lyapunov techniques: Handling asynchronous, delayed measurements and distributed implementation

This work focuses on economic model predictive control of nonlinear systems. First, an economic model predictive control algorithm that efficiently handles asynchronous and delayed measurements is presented and its application to a chemical process example is demonstrated. This algorithm uses suitab...

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Published in2011 50th IEEE Conference on Decision and Control and European Control Conference pp. 4646 - 4653
Main Authors Heidarinejad, M., Jinfeng Liu, Christofides, P. D.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.12.2011
Subjects
Closed loop systems
Current measurement
Economics
Nonlinear systems
Stability analysis
Time measurement
Trajectory
Online AccessGet full text
ISBN9781612848006
1612848001
ISSN0191-2216
DOI10.1109/CDC.2011.6160304

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Abstract This work focuses on economic model predictive control of nonlinear systems. First, an economic model predictive control algorithm that efficiently handles asynchronous and delayed measurements is presented and its application to a chemical process example is demonstrated. This algorithm uses suitable Lyapunov-based constraints to ensure closed-loop stability for a well-defined set of initial conditions. Second, a distributed economic model predictive control architecture for nonlinear systems is presented. In this architecture, the distributed controllers communicate in a sequential fashion, optimize their inputs through maximizing a plant-wide (global) economic objective function and guarantee practical stability of the closed-loop system.
AbstractList This work focuses on economic model predictive control of nonlinear systems. First, an economic model predictive control algorithm that efficiently handles asynchronous and delayed measurements is presented and its application to a chemical process example is demonstrated. This algorithm uses suitable Lyapunov-based constraints to ensure closed-loop stability for a well-defined set of initial conditions. Second, a distributed economic model predictive control architecture for nonlinear systems is presented. In this architecture, the distributed controllers communicate in a sequential fashion, optimize their inputs through maximizing a plant-wide (global) economic objective function and guarantee practical stability of the closed-loop system.
Author Christofides, P. D.
Heidarinejad, M.
Jinfeng Liu
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  organization: Dept. of Chem. & Biomol. Eng., Univ. of California, Los Angeles, CA, USA
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StartPage 4646
SubjectTerms Closed loop systems
Current measurement
Economics
Nonlinear systems
Stability analysis
Time measurement
Trajectory
Title Economic model predictive control using Lyapunov techniques: Handling asynchronous, delayed measurements and distributed implementation
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