The DOI matches its Crossref record; 32 of the 32 references it cites were found in a registry or an index.
Computational adaptive optimal control for continuous-time linear systems with completely unknown dynamics
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Cites
Reinforcement Learning: An Introduction
Sutton, R. S., & Barto, A. G. (1998) · IEEE Transactions on Neural Networks · doi:10.1109/tnn.1998.712192 · Cited by 27,225
Reinforcement Learning: An Introduction
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Nonlinear and adaptive control design
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Online actor–critic algorithm to solve the continuous-time infinite horizon optimal control problem
Vamvoudakis, K. G., & Lewis, F. L. (2010) · Automatica · doi:10.1016/j.automatica.2010.02.018 · Cited by 1,703
Reinforcement learning and adaptive dynamic programming for feedback control
Lewis, F. L., & Vrabie, D. (2009) · IEEE Circuits and Systems Magazine · doi:10.1109/mcas.2009.933854 · Cited by 1,558
Adaptive Control Design and Analysis
Tao, G. (2003) · Wiley eBooks · doi:10.1002/0471459100 · Cited by 1,438
Cited by
Formulas for Data-Driven Control: Stabilization, Optimality, and Robustness
De Persis, C., & Tesi, P. (2020) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2019.2959924 · Cited by 983
Optimal and Autonomous Control Using Reinforcement Learning: A Survey
Kiumarsi, B., Vamvoudakis, K. G., Modares, H., & Lewis, F. L. (2018) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2017.2773458 · Cited by 891
Adaptive Dynamic Programming for Control: A Survey and Recent Advances
Liu, D., Xue, S., Zhao, B., Luo, B., & Wei, Q. (2021) · IEEE Transactions on Systems, Man, and Cybernetics: Systems · doi:10.1109/tsmc.2020.3042876 · Cited by 708
Modares, H., Lewis, F. L., & Naghibi-Sistani, M.-B. (2013) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2013.2276571 · Cited by 462
Liu, D., Yang, X., Wang, D., & Wei, Q. (2015) · IEEE Transactions on Cybernetics · doi:10.1109/tcyb.2015.2417170 · Cited by 440
Robust Adaptive Dynamic Programming and Feedback Stabilization of Nonlinear Systems
Jiang, Y., & Jiang, Z.-P. (2014) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2013.2294968 · Cited by 414
Self-citationValue iteration and adaptive dynamic programming for data-driven adaptive optimal control design
Bian, T., & Jiang, Z.-P. (2016) · Automatica · doi:10.1016/j.automatica.2016.05.003 · Cited by 348
Self-citationGao, W., Jiang, Y., Jiang, Z.-P., & Chai, T. (2016) · Automatica · doi:10.1016/j.automatica.2016.05.008 · Cited by 234
Self-citationQi, G., Li, X., & Chen, Z. (2022) · IEEE Transactions on Systems, Man, and Cybernetics: Systems · doi:10.1109/tsmc.2021.3054790 · Cited by 123
Gao, W., Jiang, Y., Jiang, Z.-P., & Chai, T. (2014) · Proceeding of the 11th World Congress on Intelligent Control and Automation · doi:10.1109/wcica.2014.7053043 · Cited by 35
Self-citation
Metadata
- Authors
- Jiang, Y., & Jiang, Z.-P.
- Venue
- Automatica
- Publisher
- Elsevier BV
- Published
- 2012-10
- Volume
- 48
- Issue
- 10
- Pages
- 2699-2704
- ISSN
- 0005-1098 (ISSN-L)
- OpenAlex
- W2148439597
- Cited by
- 1,072
- References
- 32
- FWCI
- 30.21
- 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.
