Title
A two-tier control architecture for nonlinear process systems with continuous/asynchronous feedback
Abstract
In this work, we introduce a two-tier control architecture for nonlinear process systems with both continuous and asynchronous sensing and/or actuation. This class of systems arises naturally in the context of process control systems based on hybrid communication networks (i.e, point-to-point wired links integrated with networked wired/wireless communication) and utilizing multiple heterogeneous measurements (e.g., temperature and concentration). Assuming that there exists a lower-tier control system which relies on point-to-point communication and continuous measurements to stabilize the closed-loop system, we propose to use Lyapunov-based model predictive control to design an upper-tier networked control system to profit from both the continuous and the asynchronous measurements as well as from additional networked control actuators. The proposed two-tier control system architecture preserves the stability properties of the lower-tier controller while improving the closed-loop performance. The theoretical results are demonstrated using a chemical process example.
Year
DOI
Venue
2009
10.1080/00207170903141051
ACC'09 Proceedings of the 2009 conference on American Control Conference
Keywords
Field
DocType
chemical process example,process control system,additional networked control actuators,predictive control,two-tier control architecture,lower-tier control system,asynchronous feedback,proposed two-tier control system,upper-tier networked control system,nonlinear process system,closed-loop system,point to point,profitability,temperature measurement,trajectory,wireless sensor networks,chemical process,feedback,communication networks,wireless communication,sensors,model predictive control,stability,process control,control systems,time measurement,control system,point to point communication,networked control system,actuators
Asynchronous communication,Lyapunov function,Control theory,Control theory,Computer science,Networked control system,Model predictive control,Control engineering,Process control,Control system,Wireless sensor network
Conference
Volume
Issue
ISSN
83
2
0743-1619
Citations 
PageRank 
References 
4
0.56
14
Authors
5
Name
Order
Citations
PageRank
Jinfeng Liu126528.37
David Muñoz de la Peña229324.98
Benjamin James Ohran350.95
Panagiotis D. Christofides478492.67
James F. Davis5749.10