Paper Info
Title
Lyapunov-based model predictive control of nonlinear systems subject to time-varying measurement delays
Abstract
In this work, we focus on model predictive control of nonlinear systems subject to time-varying measurement delays. The motivation for studying this control problem is provided by networked control problems and the presence of time-varying delays in measurement sampling in chemical processes. We propose a Lyapunov-based model predictive controller which is designed taking time-varying measurement delays explicitly into account, both in the optimization problem formulation and in the controller implementation. The proposed predictive controller guarantees that the closed-loop system is ultimately bounded in a region that contains the origin if the maximum delay is smaller than a given constant. The theoretical results are illustrated through a chemical process example.
Year
DOI
Venue
2008
10.1109/CDC.2008.4738698
International Journal of Adaptive Control and Signal Processing
Keywords
Field
DocType
optimisation,time-varying measurement delay,delay systems,time-varying systems,closed-loop system,optimization problem,nonlinear control systems,measurement sampling,nonlinear system,chemical process,lyapunov-based model predictive control,closed loop systems,lyapunov methods,networked control problem,predictive control,stability analysis,model predictive control,predictive models,time measurement,trajectory
Chemical process,Lyapunov function,Mathematical optimization,Control theory,Nonlinear system,Control theory,Computer science,Model predictive control,Optimization problem,Trajectory,Bounded function
Conference
Volume
Issue
ISSN
23
8
0191-2216 E-ISBN : 978-1-4244-3124-3
ISBN
Citations 
PageRank 
978-1-4244-3124-3
9
0.77
References 
Authors
12
4
Name
Order
Citations
PageRank
Jinfeng Liu126528.37
David Muñoz de la Peña229324.98
Panagiotis D. Christofides378492.67
James F. Davis4749.10