Parameterizations of data-driven nonlinear dynamic process models for fast scheduling calculations

Published 2019 View Full Article

  1. Home
  2. Publications
  3. Publication Search
  4. Publication Details
Title
Parameterizations of data-driven nonlinear dynamic process models for fast scheduling calculations
Authors
Keywords
Optimal scheduling, Integrated scheduling and control, Nonlinear dynamics, Hammerstein–Wiener models, Parametric models
Journal
COMPUTERS & CHEMICAL ENGINEERING
Volume -, Issue -, Pages -
Publisher
Elsevier BV
Online
2019-07-02
DOI
10.1016/j.compchemeng.2019.06.023

Ask authors/readers for more resources

Protocol

Community support

Reagent

Community support

Reprint

Contact the author

Create your own webinar

Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.

Create Now

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.