Data-based robust adaptive control for a class of unknown nonlinear constrained-input systems via integral reinforcement learning

Published 2016 View Full Article

  1. Home
  2. Publications
  3. Publication Search
  4. Publication Details
Title
Data-based robust adaptive control for a class of unknown nonlinear constrained-input systems via integral reinforcement learning
Authors
Keywords
Adaptive dynamic programming, Input constraint, Neural networks, Optimal control, Reinforcement learning, Robust control
Journal
INFORMATION SCIENCES
Volume 369, Issue -, Pages 731-747
Publisher
Elsevier BV
Online
2016-07-24
DOI
10.1016/j.ins.2016.07.051

Ask authors/readers for more resources

Protocol

Community support

Reagent

Community support

Reprint

Contact the author

Find Funding. Review Successful Grants.

Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.

Explore

Find the ideal target journal for your manuscript

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

Search
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.