Integrating Dynamic Neural Network Models with Principal Component Analysis for Adaptive Model Predictive Control

Published 2020 View Full Article

  1. Home
  2. Publications
  3. Publication Search
  4. Publication Details
Title
Integrating Dynamic Neural Network Models with Principal Component Analysis for Adaptive Model Predictive Control
Authors
Keywords
Recurrent neural networks (RNN), Principal component analysis (PCA), Model predictive control (MPC), Model re-identification
Journal
CHEMICAL ENGINEERING RESEARCH & DESIGN
Volume -, Issue -, Pages -
Publisher
Elsevier BV
Online
2020-04-28
DOI
10.1016/j.cherd.2020.03.031

Ask authors/readers for more resources

Protocol

Community support

Reagent

Community support

Reprint

Contact the author

Find the ideal target journal for your manuscript

Explore over 38,000 international journals covering a vast array of academic fields.

Search

Become a Peeref-certified reviewer

The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.

Get Started
Webinars Posters Questions Hubs Funding Journals Articles Connect Collections Reviewers About Us FAQs Mobile App Privacy Policy Terms of Use
© Peeref 2019-2024. All rights reserved.