| A class of adaptive extended state observers for nonlinear disturbed systems Z Pu, R Yuan, J Yi, X Tan IEEE Transactions on Industrial Electronics 62 (9), 5858-5869, 2015 | 243 | 2015 |
| Fixed-time sliding mode disturbance observer-based nonsmooth backstepping control for hypersonic vehicles J Sun, J Yi, Z Pu, X Tan IEEE Transactions on Systems, Man, and Cybernetics: Systems 50 (11), 4377-4386, 2018 | 140 | 2018 |
| Fixed-time adaptive fuzzy control for uncertain nonstrict-feedback systems with time-varying constraints and input saturations J Sun, J Yi, Z Pu IEEE Transactions on Fuzzy Systems 30 (4), 1114-1128, 2021 | 123 | 2021 |
| Formation control with collision avoidance through deep reinforcement learning using model-guided demonstration Z Sui, Z Pu, J Yi, S Wu IEEE Transactions on Neural Networks and Learning Systems 32 (6), 2358-2372, 2020 | 113 | 2020 |
| Fixed-time control with uncertainty and measurement noise suppression for hypersonic vehicles via augmented sliding mode observers J Sun, Z Pu, J Yi, Z Liu IEEE Transactions on Industrial Informatics 16 (2), 1192-1203, 2019 | 96 | 2019 |
| Uncertainty analysis and robust trajectory linearization control of a flexible air-breathing hypersonic vehicle Z Pu, X Tan, G Fan, J Yi Acta Astronautica 101, 16-32, 2014 | 76 | 2014 |
| Adaptive fuzzy nonsmooth backstepping output-feedback control for hypersonic vehicles with finite-time convergence J Sun, J Yi, Z Pu, Z Liu IEEE Transactions on Fuzzy Systems 28 (10), 2320-2334, 2019 | 71 | 2019 |
| Robust adaptive tracking control for hypersonic vehicle based on interval type-2 fuzzy logic system and small-gain approach X Tao, J Yi, Z Pu, T Xiong IEEE Transactions on Cybernetics 51 (5), 2504-2517, 2019 | 53 | 2019 |
| Finite-time command-filtered composite adaptive neural control of uncertain nonlinear systems J Sun, H He, J Yi, Z Pu IEEE Transactions on Cybernetics 52 (7), 6809-6821, 2020 | 52 | 2020 |
| Conditional disturbance negation based active disturbance rejection control for hypersonic vehicles J Sun, Z Pu, J Yi Control Engineering Practice 84, 159-171, 2019 | 45 | 2019 |
| Active robust control of uncertainty and flexibility suppression for air-breathing hypersonic vehicles Z Pu, R Yuan, X Tan, J Yi Aerospace Science and Technology 42, 429-441, 2015 | 44 | 2015 |
| Adaptive control of hypersonic vehicles based on characteristic models with fuzzy neural network estimators Y Chang, T Jiang, Z Pu Aerospace Science and Technology 68, 475-485, 2017 | 43 | 2017 |
| State-estimator-integrated robust adaptive tracking control for flexible air-breathing hypersonic vehicle with noisy measurements X Tao, J Yi, Z Pu, T Xiong IEEE transactions on instrumentation and measurement 68 (11), 4285-4299, 2019 | 42 | 2019 |
| Attention enhanced reinforcement learning for multi agent cooperation Z Pu, H Wang, Z Liu, J Yi, S Wu IEEE Transactions on Neural Networks and Learning Systems 34 (11), 8235-8249, 2022 | 39 | 2022 |
| Appointed-time control for flexible hypersonic vehicles with conditional disturbance negation J Sun, Z Pu, Y Chang, S Ding, J Yi IEEE Transactions on Aerospace and Electronic Systems 59 (5), 6327-6345, 2023 | 33 | 2023 |
| Fixed‐time observer based adaptive neural network time‐varying formation tracking control for multi‐agent systems via minimal learning parameter approach T Xiong, Z Pu, J Yi, X Tao IET Control Theory & Applications 14 (9), 1147-1157, 2020 | 28 | 2020 |
| An improved RRT algorithm for multi-robot formation path planning LL Wang, ZZ Sui, ZQ Pu, Z Liu, JQ Yi Acta Electronica Sinica 48 (11), 2138-2145, 2020 | 27 | 2020 |
| Optimal uavs formation transformation strategy based on task assignment and particle swarm optimization Z Sui, Z Pu, J Yi 2017 IEEE International Conference on Mechatronics and Automation (ICMA …, 2017 | 24 | 2017 |
| Augmented fixed‐time observer‐based continuous robust control for hypersonic vehicles with measurement noises J Sun, J Yi, Z Pu IET Control Theory & Applications 13 (3), 422-433, 2019 | 22 | 2019 |
| Path planning of multiagent constrained formation through deep reinforcement learning Z Sui, Z Pu, J Yi, X Tan 2018 International Joint Conference on Neural Networks (IJCNN), 1-8, 2018 | 22 | 2018 |
