| Adaptive robust finite-time trajectory tracking control of fully actuated marine surface vehicles N Wang, C Qian, JC Sun, YC Liu IEEE Transactions on Control Systems Technology 24 (4), 1454-1462, 2015 | 337 | 2015 |
| Accurate trajectory tracking of disturbed surface vehicles: A finite-time control approach N Wang, HR Karimi, H Li, SF Su IEEE/ASME Transactions on Mechatronics 24 (3), 1064-1074, 2019 | 248 | 2019 |
| An intelligent spatial collision risk based on the quaternion ship domain N Wang The Journal of Navigation 63 (4), 733-749, 2010 | 240 | 2010 |
| Adaptive robust online constructive fuzzy control of a complex surface vehicle system N Wang, MJ Er, JC Sun, YC Liu IEEE Transactions on Cybernetics 46 (7), 1511-1523, 2015 | 203 | 2015 |
| Reinforcement learning-based optimal tracking control of an unknown unmanned surface vehicle N Wang, Y Gao, H Zhao, CK Ahn IEEE Transactions on Neural Networks and Learning Systems 32 (7), 3034-3045, 2020 | 201 | 2020 |
| Direct adaptive fuzzy tracking control of marine vehicles with fully unknown parametric dynamics and uncertainties N Wang, MJ Er IEEE Transactions on Control Systems Technology 24 (5), 1845-1852, 2016 | 200 | 2016 |
| Observer-based event-triggered adaptive decentralized fuzzy control for nonlinear large-scale systems L Cao, H Li, N Wang, Q Zhou IEEE Transactions on Fuzzy Systems 27 (6), 1201-1214, 2018 | 195 | 2018 |
| Nonlinear disturbance observer-based backstepping finite-time sliding mode tracking control of underwater vehicles with system uncertainties and external disturbances S Liu, Y Liu, N Wang Nonlinear Dynamics 88 (1), 465-476, 2017 | 183 | 2017 |
| Data-driven performance-prescribed reinforcement learning control of an unmanned surface vehicle N Wang, Y Gao, X Zhang IEEE Transactions on Neural Networks and Learning Systems 32 (12), 5456-5467, 2021 | 177 | 2021 |
| Self-Constructing Adaptive Robust Fuzzy Neural Tracking Control of Surface Vehicles With Uncertainties and Unknown Disturbances N Wang, MJ Er IEEE Transactions on Control Systems Technology 23 (3), 991-1002, 2015 | 170 | 2015 |
| Global asymptotic model-free trajectory-independent tracking control of an uncertain marine vehicle: An adaptive universe-based fuzzy control approach N Wang, SF Su, J Yin, Z Zheng, MJ Er IEEE Transactions on Fuzzy Systems 26 (3), 1613-1625, 2017 | 168 | 2017 |
| A fast and accurate online self-organizing scheme for parsimonious fuzzy neural networks N Wang, MJ Er, X Meng Neurocomputing 72 (16-18), 3818-3829, 2009 | 165 | 2009 |
| Attention pooling-based convolutional neural network for sentence modelling MJ Er, Y Zhang, N Wang, M Pratama Information Sciences 373, 388-403, 2016 | 162 | 2016 |
| Event-triggered consensus of linear multiagent systems with time-varying communication delays C Deng, MJ Er, GH Yang, N Wang IEEE transactions on cybernetics 50 (7), 2916-2925, 2019 | 158 | 2019 |
| Review on deep learning techniques for marine object recognition: Architectures and algorithms N Wang, Y Wang, MJ Er Control Engineering Practice 118, 104458, 2022 | 156 | 2022 |
| A unified analytical framework for ship domains N Wang, X Meng, Q Xu, Z Wang The Journal of Navigation 62 (4), 643-655, 2009 | 156 | 2009 |
| Finite-time observer based accurate tracking control of a marine vehicle with complex unknowns N Wang, S Lv, W Zhang, Z Liu, MJ Er Ocean Engineering 145, 406-415, 2017 | 140 | 2017 |
| Generalized Single-Hidden Layer Feedforward Networks for Regression Problems N Wang, MJ Er, M Han IEEE Transactions on Neural Networks and Learning Systems 26 (6), 1161 - 1176, 2015 | 140 | 2015 |
| Tracking-error-based universal adaptive fuzzy control for output tracking of nonlinear systems with completely unknown dynamics N Wang, JC Sun, MJ Er IEEE Transactions on Fuzzy Systems 26 (2), 869-883, 2017 | 137 | 2017 |
| Fuzzy unknown observer-based robust adaptive path following control of underactuated surface vehicles subject to multiple unknowns N Wang, Z Sun, J Yin, Z Zou, SF Su Ocean Engineering 176, 57-64, 2019 | 132 | 2019 |
Min HanDalian University of TechnologyVerified email at dlut.edu.cn
