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ORCIDTenavi Nakamura-Zimmerer
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2020 – today
- 2022
[c3]Tenavi Nakamura-Zimmerer
, Qi Gong, Wei Kang:
Neural network optimal feedback control with enhanced closed loop stability. ACC 2022: 2373-2378- [i4]Tenavi Nakamura-Zimmerer, Qi Gong, Wei Kang:
Neural Network Optimal Feedback Control with Guaranteed Local Stability. CoRR abs/2205.00394 (2022) - 2021
- [j2]Tenavi Nakamura-Zimmerer, Qi Gong, Wei Kang:
QRnet: Optimal Regulator Design With LQR-Augmented Neural Networks. IEEE Control. Syst. Lett. 5(4): 1303-1308 (2021) - [j1]Tenavi Nakamura-Zimmerer, Qi Gong, Wei Kang:
Adaptive Deep Learning for High-Dimensional Hamilton-Jacobi-Bellman Equations. SIAM J. Sci. Comput. 43(2): A1221-A1247 (2021) - [c2]Tenavi Nakamura-Zimmerer, Qi Gong, Wei Kang:
QRnet: optimal regulator design with LOR-augmented neural networks. ACC 2021: 1503-1508 - [i3]Tenavi Nakamura-Zimmerer, Qi Gong, Wei Kang:
Neural network optimal feedback control with enhanced closed loop stability. CoRR abs/2109.07466 (2021) - 2020
- [c1]Tenavi Nakamura-Zimmerer, Qi Gong, Wei Kang:
A Causality-Free Neural Network Method for High-Dimensional Hamilton-Jacobi-Bellman Equations. ACC 2020: 787-793 - [i2]Tenavi Nakamura-Zimmerer, Qi Gong, Wei Kang:
QRnet: optimal regulator design with LQR-augmented neural networks. CoRR abs/2009.05686 (2020)
2010 – 2019
- 2019
- [i1]Tenavi Nakamura-Zimmerer, Qi Gong, Wei Kang:
Adaptive Deep Learning for High Dimensional Hamilton-Jacobi-Bellman Equations. CoRR abs/1907.05317 (2019)
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