Title | ||
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A two-tier control architecture for nonlinear process systems with continuous/asynchronous feedback |
Abstract | ||
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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 |
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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 Liu | 1 | 265 | 28.37 |
David Muñoz de la Peña | 2 | 293 | 24.98 |
Benjamin James Ohran | 3 | 5 | 0.95 |
Panagiotis D. Christofides | 4 | 784 | 92.67 |
James F. Davis | 5 | 74 | 9.10 |