Adaptive output feedback control of uncertain nonlinear systems using single-hidden-layer neural networks N Hovakimyan, F Nardi, A Calise, N Kim IEEE Transactions on neural networks 13 (6), 1420-1431, 2002 | 405 | 2002 |
Collision avoidance for an unmanned surface vehicle using deep reinforcement learning J Woo, N Kim Ocean Engineering 199, 107001, 2020 | 182 | 2020 |
Deep reinforcement learning-based controller for path following of an unmanned surface vehicle J Woo, C Yu, N Kim Ocean Engineering 183, 155-166, 2019 | 168 | 2019 |
Improved methods in neural network-based adaptive output feedback control, with applications to flight control N Kim Georgia Institute of Technology, 2003 | 107 | 2003 |
Dynamic model identification of unmanned surface vehicles using deep learning network J Woo, J Park, C Yu, N Kim Applied Ocean Research 78, 123-133, 2018 | 92 | 2018 |
Adaptive output feedback control of a class of multi-input multi-output systems using neural networks N Hovakimyan, AJ Calise, N Kim* International Journal of Control 77 (15), 1318-1329, 2004 | 79 | 2004 |
Adaptive output feedback for high-bandwidth control of an unmanned helicopter N Hovakimyan, N Kim, AJ Calise, JVR Prasad, E Corban AIAA Guidance, Navigation and Control Conference, AIAA-2001-4181, 2001 | 74 | 2001 |
Dynamics modeling of a semi-submersible autonomous underwater vehicle with a towfish towed by a cable J Park, N Kim International Journal of Naval Architecture and Ocean Engineering 7 (2), 409-425, 2015 | 58 | 2015 |
Adaptive output feedback for high-bandwidth flight control N Kim, AJ Calise, N Hovakimyan, JVR Prasad, E Corban Journal of guidance, control, and dynamics 25 (6), 993-1002, 2002 | 50 | 2002 |
Experimental study on hydrodynamic coefficients for high-incidence-angle maneuver of a submarine JY Park, N Kim, YK Shin International Journal of Naval Architecture and Ocean Engineering 9 (1), 100-113, 2017 | 47 | 2017 |
Design of an adaptive backstepping controller for auto-berthing a cruise ship under wind loads JY Park, N Kim International Journal of Naval Architecture and Ocean Engineering 6 (2), 347-360, 2014 | 46 | 2014 |
Several extensions in methods for adaptive output feedback control N Kim, AJ Calise IEEE transactions on neural networks 18 (2), 482-494, 2007 | 42 | 2007 |
High bandwidth adaptive flight control A Calise, H Lee, N Kim AIAA Guidance, Navigation, and Control Conference and Exhibit, 4551, 2000 | 38 | 2000 |
Trajectory tracking controller design using neural networks for a tiltrotor unmanned aerial vehicle BM Kim, BS Kim, NW Kim Proceedings of the Institution of Mechanical Engineers, Part G: Journal of …, 2010 | 36 | 2010 |
Two-phase approach to optimal weather routing using geometric programming J Park, N Kim Journal of Marine Science and Technology 20 (4), 679-688, 2015 | 33 | 2015 |
Neural network-based adaptive control for a supercavitating vehicle in transition phase S Kim, N Kim Journal of Marine Science and Technology 20, 454-466, 2015 | 33 | 2015 |
Flight evaluation of adaptive high-bandwidth control methods for unmanned helicopters J Corban, A Calise, JVR Prasad, J Hur, N Kim AIAA guidance, navigation, and control conference and exhibit, 4441, 2002 | 33 | 2002 |
Integrated dynamics modeling for supercavitating vehicle systems S Kim, N Kim International Journal of Naval Architecture and Ocean Engineering 7 (2), 346-363, 2015 | 31 | 2015 |
An experimental study on vertical motion control of a high-speed planing vessel using a controllable interceptor in waves JY Park, H Choi, J Lee, H Choi, J Woo, S Kim, DJ Kim, SY Kim, N Kim Ocean Engineering 173, 841-850, 2019 | 26 | 2019 |
Adaptive output feedback for altitude control of an unmanned helicopter using rotor RPM N Kim, A Calise, JE Corban, JVR Prasad AIAA Guidance, Navigation, and Control Conference and Exhibit, 5323, 2004 | 26 | 2004 |