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Year | Number of Results |
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2021 | 3 |
2022 | 4 |
2023 | 3 |
2024 | 0 |
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Page 1
Discrete-Time H2 Neural Control Using Reinforcement Learning.
IEEE Trans Neural Netw Learn Syst. 2021 Nov;32(11):4879-4889. doi: 10.1109/TNNLS.2020.3026010. Epub 2021 Oct 27.
IEEE Trans Neural Netw Learn Syst. 2021.
PMID: 33017294
Neural H₂ Control Using Continuous-Time Reinforcement Learning.
Perrusquia A, Yu W.
Perrusquia A, et al.
IEEE Trans Cybern. 2022 Jun;52(6):4485-4494. doi: 10.1109/TCYB.2020.3028988. Epub 2022 Jun 16.
IEEE Trans Cybern. 2022.
PMID: 33232250
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Optimal sliding mode control for cutting tasks of quick-return mechanisms.
Perrusquía A, Flores-Campos JA, Yu W.
Perrusquía A, et al.
ISA Trans. 2022 Mar;122:88-95. doi: 10.1016/j.isatra.2021.04.033. Epub 2021 Apr 28.
ISA Trans. 2022.
PMID: 33941378
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Drone's Objective Inference Using Policy Error Inverse Reinforcement Learning.
Perrusquia A, Guo W.
Perrusquia A, et al.
IEEE Trans Neural Netw Learn Syst. 2023 Nov 22;PP. doi: 10.1109/TNNLS.2023.3333551. Online ahead of print.
IEEE Trans Neural Netw Learn Syst. 2023.
PMID: 37991914
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Hippocampus experience inference for safety critical control of unknown multi-agent linear systems.
Perrusquía A, Guo W.
Perrusquía A, et al.
ISA Trans. 2023 Jun;137:646-655. doi: 10.1016/j.isatra.2022.12.011. Epub 2022 Dec 16.
ISA Trans. 2023.
PMID: 36543735
Free article.
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A complementary learning approach for expertise transference of human-optimized controllers.
Perrusquía A.
Perrusquía A.
Neural Netw. 2022 Jan;145:33-41. doi: 10.1016/j.neunet.2021.10.009. Epub 2021 Oct 21.
Neural Netw. 2022.
PMID: 34715533
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A Closed-Loop Output Error Approach for Physics-Informed Trajectory Inference Using Online Data.
Perrusquia A, Guo W.
Perrusquia A, et al.
IEEE Trans Cybern. 2023 Mar;53(3):1379-1391. doi: 10.1109/TCYB.2022.3202864. Epub 2023 Feb 15.
IEEE Trans Cybern. 2023.
PMID: 36129867
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