The DOI matches its Crossref record; 26 of the 26 references it cites were found in a registry or an index.
Online learning control by association and reinforcement
Abstract
This paper focuses on a systematic treatment for developing a generic online learning control system based on the fundamental principle of reinforcement learning or more specifically neural dynamic programming. This online learning system improves its performance over time in two aspects: 1) it learns from its own mistakes through the reinforcement signal from the external environment and tries to reinforce its action to improve future performance; and 2) system states associated with the positive reinforcement is memorized through a network learning process where in the future, similar states will be more positively associated with a control action leading to a positive reinforcement. A successful candidate of online learning control design is introduced. Real-time learning algorithms is derived for individual components in the learning system. Some analytical insight is provided to give guidelines on the learning process took place in each module of the online learning control system.
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Cites
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Cited by
Al-Tamimi, A., Lewis, F. L., & Abu-Khalaf, M. (2007) · Automatica · doi:10.1016/j.automatica.2006.09.019 · Cited by 611
Dynamic Energy Management System for a Smart Microgrid
Venayagamoorthy, G. K., Sharma, R. K., Gautam, P. K., & Ahmadi, A. (2016) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2016.2514358 · Cited by 328
A translational perspective on the anti-anhedonic effect of ketamine and its neural underpinnings
Pulcu, E., Guinea, C., Cowen, P. J., Murphy, S. E., & Harmer, C. J. (2022) · Molecular Psychiatry · doi:10.1038/s41380-021-01183-1 · Cited by 35
Bai, W., Chen, D., Zhao, B., & D'Ariano, A. (2025) · IEEE Transactions on Intelligent Vehicles · doi:10.1109/tiv.2024.3458894 · Cited by 31
Online learning of an interval type-2 TSK fuzzy logic controller for nonlinear systems
Khater, A. A., El-Nagar, A. M., El-Bardini, M., & El-Rabaie, N. M. (2019) · Journal of the Franklin Institute · doi:10.1016/j.jfranklin.2019.08.031 · Cited by 23
Metadata
- Authors
- Si, J., & Wang, Y.-T.
- Venue
- IEEE Transactions on Neural Networks
- Published
- 2001-03
- Volume
- 12
- Issue
- 2
- Pages
- 264-276
- ISSN
- 1045-9227 (ISSN-L)
- OpenAlex
- W2165501837
- Cited by
- 773
- References
- 26
- FWCI
- 9.76
- Type
- journal article
- Language
- en
- Open access
- closed
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
