An Observer-Based Reinforcement Learning Solution for Model-Following Problems-Reference-Cited by-同舟云学术

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An Observer-Based Reinforcement Learning Solution for Model-Following Problems

Published:2023-12-13 Issue: Volume: Page:7976-7981
ISSN:
Container-title:2023 62nd IEEE Conference on Decision and Control (CDC)
language:
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Author:

Abouheaf Mohammed I.¹,Vamvoudakis Kyriakos G.²,Mayyas Mohammad A.¹,Hashim Hashim A.³

Affiliation:

1. Bowling Green State University,Robotics Engineering,Bowling Green,OH,USA,43403

2. Daniel Guggenheim School of Aerospace Engineering, Georgia Institute of Technology,Atlanta,GA,USA,30332

3. Carleton University,Department of Mechanical and Aerospace Engineering,Ottawa,Ontario,Canada,K1S-5B6

Funder

National Science Foundation

National Sciences and Engineering Research Council of Canada (NSERC)

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10383192/10383193/10384059.pdf?arnumber=10384059

Reference31 articles.

1. Optimal Control

2. Adaptive Control of Hypersonic Flight Vehicles With Limited Angle-of-Attack

3. Dynamic positioning for underactuated surface vessel via L1 adaptive backstepping control

4. Nonlinear model predictive control and guidance for a propeller-tilting hybrid unmanned air vehicle

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