NDLI: Computationally efficient neural predictive control based on a feedforward architecture

Content Provider	IEEE Xplore Digital Library
Author	Kuure-Kinsey, M. Cutright, R. Bequette, B.W.
Copyright Year	2006
Description	Author affiliation: Isermann Dept. of Chem. & Biol. Eng., Rensselaer Polytech. Inst., Troy, NY (Kuure-Kinsey, M.)
Abstract	A new strategy for integrating system identification and predictive control is proposed. A novel feedforward neural network architecture is developed that allows the nonlinearity to be mapped onto a linear time varying term. The linear time varying neural network model is augmented with a Kalman filter to provide unmeasured disturbance estimation and compensation for model uncertainty. The structure of the model lends itself naturally to a neural predictive control formulation. The computational requirement of this strategy is significantly lower than that of optimization of the nonlinear neural network model, with comparable control performance, as illustrated on a challenging nonlinear chemical reactor with input multiplicity
Sponsorship	American Automatic Control Council IFAC
File Size	285477
File Format	PDF
ISBN	1424402093
e-ISBN	1424402107
DOI	10.1109/ACC.2006.1657169
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-06-14
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	American Automatic Control Council(AACC)
Subject Keyword	Predictive control Computer architecture Neural networks Feedforward neural networks Predictive models Optimal control Nonlinear systems Biology computing Power engineering computing Biological control systems
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
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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9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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