Title
Lyapunov-based model predictive control of particulate processes subject to asynchronous measurements
Abstract
This work focuses on state feedback model predictive control of particulate processes subject to asynchronous measurements. A population balance model of a typical continuous crystallizer is taken as an application example. Three controllers, a standard model predictive controller and two recently proposed Lyapunov-based model predictive controllers, are applied to stabilize the crystallizer at an open-loop unstable steady-state in the presence of asynchronous measurements. The stability and robustness properties of the closed-loop system under the three controllers are compared extensively under two different assumptions on how the measurements from the crystallizer are obtained.
Year
DOI
Venue
2008
10.1109/ACC.2008.4586824
Seattle, WA
Keywords
DocType
Volume
state feedback model,particulate processes,closed loop system,state feedback,crystallisers,asynchronous measurements,lyapunov based model predictive control,typical continuous crystallizer,lyapunov methods,predictive control,standard model,crystallization,open loop systems,predictive models,model predictive control,steady state,atmospheric modeling
Conference
25
Issue
ISSN
ISBN
4
0743-1619 E-ISBN : 978-1-4244-2079-7
978-1-4244-2079-7
Citations 
PageRank 
References 
0
0.34
8
Authors
4
Name
Order
Citations
PageRank
Jinfeng Liu126528.37
David Muñoz de la Peña229324.98
Panagiotis D. Christofides378492.67
James F. Davis4749.10