NDLI: A hybrid proactive-adaptive communication strategy for quasi-decentralized MPC of nonlinear process networks

Content Provider	IEEE Xplore Digital Library
Author	Ye Hu El-Farra, N.H.
Copyright Year	2014
Description	Author affiliation: Dept. of Chem. Eng. & Mater. Sci., Univ. of California, Davis, Davis, CA, USA (Ye Hu; El-Farra, N.H.)
Abstract	In this paper, a hybrid proactive-adaptive communication strategy for quasi-decentralized MPC of nonlinear process networks is presented. The objective is to enforce the desired closed-loop stability and performance properties while reducing the cross communication between the different subsystems. The local MPC controllers are initially designed based on sampled-data distributed bounded Lyapunov-based controllers, and their closed-loop stability and performance properties are characterized in terms of local (subsystem-specific) and global (plant-wide) thresholds. A hybrid communication strategy with a proactive and adaptive components is then devised to meet the control and communication objectives at the local and plant-wide levels. In both components, each subsystem uses the stability and performance thresholds to forecast the future evolution of the state and then decide whether to establish or suspend communication with the rest of the plant. A simulated chemical process network is used to illustrate the implementation of the developed approach.
Starting Page	5580
Ending Page	5585
File Size	195070
Page Count	6
File Format	PDF
ISBN	9781479932726
ISSN	07431619
e-ISBN	9781479932740
DOI	10.1109/ACC.2014.6859106
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-06-04
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	American Automatic Control Council(AACC)
Subject Keyword	Stability analysis Control systems Process control Optimization Loss measurement Adaptation models Asymptotic stability Predictive control for nonlinear systems Networked control systems
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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