Computationally Efficient Neural Predictive Control Based on a Feedforward Architecture-Reference-Cited by-同舟云学术

Computationally Efficient Neural Predictive Control Based on a Feedforward Architecture

Published:2006-10-19 Issue:25 Volume:45 Page:8575-8582
ISSN:0888-5885
Container-title:Industrial & Engineering Chemistry Research
language:en
Short-container-title:Ind. Eng. Chem. Res.

Author:

Kuure-Kinsey Matthew¹,Cutright Rick¹,Bequette B. Wayne¹

Affiliation:

1. Isermann Department of Chemical & Biological Engineering, Rensselaer Polytechnic Institute, Troy, New York 12180-3590, and Research & Systems Architecture, Plug Power Inc., Latham, New York 12110

Publisher

American Chemical Society (ACS)

Subject

Industrial and Manufacturing Engineering,General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/ie060246y

Reference23 articles.

1. Control of an Unstable Batch Chemical Reactor

2. Automated solution for control recipe generation of chemical batch plants

3. An improved stable adaptive fuzzy control method

4. Identification of power system load dynamics using artificial neural networks

5. The Stone-Weierstrass theorem and its application to neural networks

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