Reinforcement learning-based output stabilization control for nonlinear systems with generalized disturbances

Tang, Z., Rossiter, J.A. orcid.org/0000-0002-1336-0633, Dong, Y. et al. (1 more author) (2024) Reinforcement learning-based output stabilization control for nonlinear systems with generalized disturbances. In: 2024 IEEE International Conference on Industrial Technology (ICIT). 2024 IEEE International Conference on Industrial Technology (ICIT), 25-27 Mar 2024, Bristol, United Kingdom. Institute of Electrical and Electronics Engineers , pp. 1-6. ISBN 979-8-3503-4026-6

Abstract

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Item Type: Proceedings Paper
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© 2024 The Authors. Except as otherwise noted, this author-accepted version of a paper published in 2024 IEEE International Conference on Industrial Technology (ICIT) is made available via the University of Sheffield Research Publications and Copyright Policy under the terms of the Creative Commons Attribution 4.0 International License (CC-BY 4.0), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/

Keywords: Uncertainty; Simulation; Measurement uncertainty; Optimal control; Estimation; Reinforcement learning; Disturbance observers
Dates:
  • Published: 5 June 2024
  • Published (online): 5 June 2024
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > School of Electrical and Electronic Engineering
Funding Information:
Funder
Grant number
Engineering and Physical Sciences Research Council
EP/V051261/1
Depositing User: Symplectic Sheffield
Date Deposited: 27 Nov 2024 09:42
Last Modified: 27 Nov 2024 09:42
Status: Published
Publisher: Institute of Electrical and Electronics Engineers
Refereed: Yes
Identification Number: 10.1109/icit58233.2024.10540609
Open Archives Initiative ID (OAI ID):

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