| Neural-network-based iterative learning control for hysteresis in a magnetic shape memory alloy actuator Y Yu, C Zhang, Y Wang, M Zhou IEEE/ASME Transactions on Mechatronics 27 (2), 928-939, 2021 | 58 | 2021 |
| NARMAX model-based hysteresis modeling of magnetic shape memory alloy actuators Y Yu, C Zhang, M Zhou IEEE Transactions on Nanotechnology 19, 1-4, 2019 | 51 | 2019 |
| Sliding mode control with sigmoid function for the motion tracking control of the piezo‐actuated stages R Xu, M Zhou Electronics Letters 53 (2), 75-77, 2017 | 51 | 2017 |
| Sliding mode tracking control with perturbation estimation for hysteresis nonlinearity of piezo-actuated stages R Xu, X Zhang, H Guo, M Zhou IEEE Access 6, 30617-30629, 2018 | 49 | 2018 |
| Elman neural network-based identification of Krasnosel’skii–Pokrovskii model for magnetic shape memory alloys actuator R Xu, M Zhou IEEE Transactions on magnetics 53 (11), 1-4, 2017 | 49 | 2017 |
| A self-adaption compensation control for hysteresis nonlinearity in piezo-actuated stages based on Pi-sigma fuzzy neural network R Xu, M Zhou Smart Materials and Structures 27 (4), 045002, 2018 | 46 | 2018 |
| Modified KP model for hysteresis of magnetic shape memory alloy actuator M Zhou, S He, B Hu, Q Zhang IETE Technical Review 32 (1), 29-36, 2015 | 45 | 2015 |
| Takagi–Sugeno fuzzy neural network hysteresis modeling for magnetic shape memory alloy actuator based on modified bacteria foraging algorithm C Zhang, Y Yu, Y Wang, M Zhou International Journal of Fuzzy Systems 22, 1314-1329, 2020 | 41 | 2020 |
| Hysteresis model of magnetically controlled shape memory alloy based on a PID neural network M Zhou, Q Zhang IEEE Transactions on Magnetics 51 (11), 1-4, 2015 | 40 | 2015 |
| High precise control method for a new type of piezoelectric electro-hydraulic servo valve ML Zhou, Y Tian, W Gao, Z Yang Journal of Central South University of Technology 14 (6), 832-837, 2007 | 36 | 2007 |
| Prandtl-Ishlinskii modeling for giant magnetostrictive actuator based on internal time-delay recurrent neural network Y Wang, R Xu, M Zhou IEEE Transactions on Magnetics 54 (11), 1-4, 2018 | 35 | 2018 |
| Rate-dependent asymmetric hysteresis modeling and robust adaptive trajectory tracking for piezoelectric micropositioning stages L Nie, Y Luo, W Gao, M Zhou Nonlinear Dynamics 108 (3), 2023-2043, 2022 | 30 | 2022 |
| Hysteresis inverse compensation-based model reference adaptive control for a piezoelectric micro-positioning platform M Zhou, Y Wang, Y Zhang, W Gao Smart Materials and Structures 30 (1), 015019, 2020 | 30 | 2020 |
| Hysteresis modeling of magnetic shape memory alloy actuator based on Krasnosel'skii-Pokrovskii model M Zhou, S Wang, W Gao The Scientific World Journal 2013, 2013 | 28 | 2013 |
| Neural network based iterative learning control for magnetic shape memory alloy actuator with iteration-dependent uncertainties Y Yu, C Zhang, W Cao, X Huang, X Zhang, M Zhou Mechanical Systems and Signal Processing 187, 109950, 2023 | 24 | 2023 |
| Research on hysteresis of piezoceramic actuator based on the Duhem model M Zhou, J Wang The Scientific World Journal 2013, 2013 | 23 | 2013 |
| Feedforward-feedback hybrid control for magnetic shape memory alloy actuators based on the Krasnosel'skii-Pokrovskii model M Zhou, Q Zhang, J Wang PloS one 9 (5), e97086, 2014 | 21 | 2014 |
| An adaptive generalized predictive control of time-varying delay system W Gao, ML Zhou, YC Li, T Zhang Proceedings of 2004 International Conference on Machine Learning and …, 2004 | 20 | 2004 |
| Decentralized adaptive quantized excitation control for multi-machine power systems by considering the line-transmission delays X Zhang, B Li, G Zhu, X Chen, M Zhou IEEE Access 6, 61918-61933, 2018 | 19 | 2018 |
| Chaotic neural network-based hysteresis modeling with dynamic operator for magnetic shape memory alloy actuator C Zhang, Y Yu, Y Wang, Z Han, M Zhou IEEE Transactions on Magnetics 57 (6), 1-4, 2021 | 17 | 2021 |
