Constrained trajectory optimization for planetary entry via sequential convex programming Z Wang, MJ Grant Journal of Guidance, Control, and Dynamics 40 (10), 2603-2615, 2017 | 211 | 2017 |
Minimum-fuel low-thrust transfers for spacecraft: A convex approach Z Wang, MJ Grant IEEE Transactions on Aerospace and Electronic Systems 54 (5), 2274-2290, 2018 | 136 | 2018 |
Real-time optimal control for irregular asteroid landings using deep neural networks L Cheng, Z Wang, Y Song, F Jiang Acta Astronautica 170, 66-79, 2020 | 133 | 2020 |
Real-time optimal control for spacecraft orbit transfer via multiscale deep neural networks L Cheng, Z Wang, F Jiang, C Zhou IEEE Transactions on Aerospace and Electronic Systems 55 (5), 2436-2450, 2018 | 115 | 2018 |
Improved sequential convex programming algorithms for entry trajectory optimization Z Wang, Y Lu Journal of Spacecraft and Rockets 57 (6), 1373-1386, 2020 | 95 | 2020 |
Autonomous entry guidance for hypersonic vehicles by convex optimization Z Wang, MJ Grant Journal of Spacecraft and Rockets 55 (4), 993-1006, 2018 | 88 | 2018 |
Optimization of minimum-time low-thrust transfers using convex programming Z Wang, MJ Grant Journal of Spacecraft and Rockets 55 (3), 586-598, 2018 | 86 | 2018 |
Multiconstrained real-time entry guidance using deep neural networks L Cheng, F Jiang, Z Wang, J Li IEEE Transactions on Aerospace and Electronic Systems 57 (1), 325-340, 2020 | 75 | 2020 |
Fast generation of optimal asteroid landing trajectories using deep neural networks L Cheng, Z Wang, F Jiang, J Li IEEE Transactions on Aerospace and Electronic Systems 56 (4), 2642-2655, 2019 | 69 | 2019 |
Real-time control for fuel-optimal moon landing based on an interactive deep reinforcement learning algorithm L Cheng, Z Wang, F Jiang Astrodynamics 3, 375-386, 2019 | 64 | 2019 |
Optimal trajectories and normal load analysis of hypersonic glide vehicles via convex optimization Z Wang Aerospace Science and Technology 87, 357-368, 2019 | 58 | 2019 |
Onboard generation of optimal trajectories for hypersonic vehicles using deep learning Y Shi, Z Wang Journal of Spacecraft and Rockets 58 (2), 400-414, 2021 | 53 | 2021 |
Convex relaxation for optimal rendezvous of unmanned aerial and ground vehicles Z Wang, ST McDonald Aerospace Science and Technology 99, 105756, 2020 | 51 | 2020 |
Adaptive neural network control of nonlinear systems with unknown dynamics L Cheng, Z Wang, F Jiang, J Li Advances in Space Research 67 (3), 1114-1123, 2021 | 47 | 2021 |
A deep learning-based approach to real-time trajectory optimization for hypersonic vehicles Y Shi, Z Wang AIAA SciTech 2020 forum, 0023, 2020 | 47 | 2020 |
Optimal guidance law design for impact with terminal angle of attack constraint Q Zhang, Z Wang, F Tao Optik 125 (1), 243-251, 2014 | 35 | 2014 |
Convex approach to covariance control with application to stochastic low-thrust trajectory optimization B Benedikter, A Zavoli, Z Wang, S Pizzurro, E Cavallini Journal of Guidance, Control, and Dynamics 45 (11), 2061-2075, 2022 | 25 | 2022 |
Multi-constrained predictor-corrector reentry guidance for hypersonic vehicles L Cheng, Z Wang, Y Cheng, Q Zhang, K Ni Proceedings of the Institution of Mechanical Engineers, Part G: Journal of …, 2018 | 23 | 2018 |
High-dimensional uncertainty quantification for Mars atmospheric entry using adaptive generalized polynomial chaos X Jiang, S Li, R Furfaro, Z Wang, Y Ji Aerospace Science and Technology 107, 106240, 2020 | 22 | 2020 |
Constructing a large antenna reflector via spacecraft formation flying and reconfiguration control Y She, S Li, Z Wang Journal of Guidance, Control, and Dynamics 42 (6), 1372-1382, 2019 | 18 | 2019 |