NDLI: Economic model predictive control of nonlinear process systems using multiple empirical models

Content Provider	IEEE Xplore Digital Library
Author	Alanqar, A. Ellis, M. Christofides, P.D.
Copyright Year	2015
Description	Author affiliation: Dept. of Electr. Eng., Univ. of California, Los Angeles, Los Angeles, CA, USA (Christofides, P.D.) \|\| Dept. of Chem. & Biomol. Eng., Univ. of California, Los Angeles, Los Angeles, CA, USA (Alanqar, A.; Ellis, M.)
Abstract	Economic model predictive control (EMPC) is a feedback control technique that attempts to tightly integrate economic optimization and feedback control since it is a predictive control scheme that is formulated with an objective function representing the process economics. As its name implies, EMPC requires the availability of a dynamic model to compute its control actions and such a model may be obtained either through application of first-principles or though system identification techniques. However, in industrial practice, it may be difficult in general to obtain an accurate first-principles model of the process. Motivated by this, in the present work, Lyapunov-based economic model predictive control (LEMPC) is designed with multiple linear empirical models. The different models are used to more accurately predict the behavior of a nonlinear system over a larger state-space region compared to using a single empirical linear model only. The LEMPC scheme is applied to a chemical process example to demonstrate its closed-loop stability and performance properties as well as significant computational advantages.
Starting Page	4953
Ending Page	4958
File Size	188264
Page Count	6
File Format	PDF
e-ISBN	9781479986842
DOI	10.1109/ACC.2015.7172110
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-07-01
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	American Automatic Control Council(AACC)
Subject Keyword	Chemical reactors Economics Predictive models Lyapunov methods Trajectory Computational modeling Stability analysis
Content Type	Text
Resource Type	Article

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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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