Dynamic intermittent Q ‐learning–based model‐free suboptimal co‐design of ‐stabilization-Reference-Cited by-同舟云学术

Dynamic intermittent Q ‐learning–based model‐free suboptimal co‐design of ‐stabilization

Published:2019-03-04 Issue:9 Volume:29 Page:2673-2694
ISSN:1049-8923
Container-title:International Journal of Robust and Nonlinear Control
language:en
Short-container-title:Int J Robust Nonlinear Control

Author:

Yang Yongliang¹²^ORCID,Vamvoudakis Kyriakos G.³^ORCID,Ferraz Henrique⁴,Modares Hamidreza⁵

Affiliation:

1. School of Automation and Electrical Engineering University of Science and Technology Beijing Beijing China

2. Key Laboratory of Knowledge Automation for Industrial Processes of Ministry of Education University of Science and Technology Beijing Beijing China

3. Daniel Guggenheim School of Aerospace Engineering Georgia Institute of Technology Atlanta Georgia

4. Department of Electrical and Computer Engineering University of California Santa Barbara California

5. Mechanical Engineering Department Michigan State University East Lansing Michigan

Funder

National Natural Science Foundation of China

China Postdoctoral Science Foundation

National Science Foundation

North Atlantic Treaty Organization

Office of Naval Research

Publisher

Wiley

Subject

Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Mechanical Engineering,Aerospace Engineering,Biomedical Engineering,General Chemical Engineering,Control and Systems Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/rnc.4515

Reference37 articles.

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3. Feedback and optimal sensitivity: Model reference transformations, multiplicative seminorms, and approximate inverses

4. H∞ control of linear discrete-time systems: Off-policy reinforcement learning

5. Event-Triggered Real-Time Scheduling of Stabilizing Control Tasks

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