| Adaptive neural network sliding mode control of shipboard container cranes considering actuator backlash AT Le, MC Hoang, VT Pham, CN Luong, DT Vu, VA Le Mechanical Systems and Signal Processing 112, 233-250, 2018 | 99 | 2018 |
| An efficient adaptive hierarchical sliding mode control strategy using neural networks for 3D overhead cranes VA Le, HX Le, L Nguyen, MX Phan International Journal of Automation and Computing 16 (5), 614-627, 2019 | 52 | 2019 |
| A cooperative optimal control framework for connected and automated vehicles in mixed traffic using social value orientation VA Le, AA Malikopoulos 2022 IEEE 61st Conference on Decision and Control (CDC), 6272-6277, 2022 | 26 | 2022 |
| Designing an Adaptive Controller for 3D Overhead Cranes Using Hierarchical Sliding Mode and Neural Network VA Le, XH Le, DT Vu, VT Pham, AT Le, MC Hoang 2018 International Conference on System Science and Engineering (ICSSE), 1-6, 2018 | 18 | 2018 |
| Adaptive hierarchical sliding mode control using neural network for uncertain 2D overhead crane HX Le, TV Nguyen, VA Le, TA Phan, NH Nguyen, MX Phan International Journal of Dynamics and Control 7, 996-1004, 2019 | 12 | 2019 |
| Connected and automated vehicles in mixed-traffic: Learning human driver behavior for effective on-ramp merging N Venkatesh, VA Le, A Dave, AA Malikopoulos 2023 62nd IEEE Conference on Decision and Control (CDC), 92-97, 2023 | 11 | 2023 |
| A safety-prioritized receding horizon control framework for platoon formation in a mixed traffic environment AMI Mahbub, VA Le, AA Malikopoulos Automatica 155, 111115, 2023 | 11 | 2023 |
| ADMM-based adaptive sampling strategy for nonholonomic mobile robotic sensor networks VA Le, L Nguyen, TX Nghiem IEEE Sensors Journal 21 (13), 15369-15378, 2021 | 10 | 2021 |
| Gaussian process based distributed model predictive control for multi-agent systems using sequential convex programming and ADMM VA Le, TX Nghiem 2020 IEEE Conference on Control Technology and Applications (CCTA), 31-36, 2020 | 10 | 2020 |
| Safety-Aware and Data-Driven Predictive Control for Connected Automated Vehicles at a Mixed Traffic Signalized Intersection AM Mahbub, VA Le, AA Malikopoulos IFAC-PapersOnLine 55 (24), 51-56, 2022 | 9 | 2022 |
| An efficient adaptive sampling approach for mobile robotic sensor networks using proximal admm VA Le, L Nguyen, TX Nghiem 2021 American Control Conference (ACC), 1101-1106, 2021 | 6 | 2021 |
| Fast Gaussian process based model predictive control with uncertainty propagation TX Nghiem, TD Nguyen, VA Le 2019 57th Annual Allerton Conference on Communication, Control, and …, 2019 | 5 | 2019 |
| Stochastic time-optimal trajectory planning for connected and automated vehicles in mixed-traffic merging scenarios VA Le, B Chalaki, FN Tzortzoglou, AA Malikopoulos arXiv preprint arXiv:2311.00126, 2023 | 4 | 2023 |
| Optimal weight adaptation of model predictive control for connected and automated vehicles in mixed traffic with bayesian optimization VA Le, AA Malikopoulos 2023 American Control Conference (ACC), 1183-1188, 2023 | 4 | 2023 |
| Multistep predictions for adaptive sampling in mobile robotic sensor networks using proximal ADMM VA Le, L Nguyen, TX Nghiem IEEE Access 10, 64850-64861, 2022 | 4 | 2022 |
| A Receding Horizon Approach for Simultaneous Active Learning and Control using Gaussian Processes VA Le, TX Nghiem 2021 IEEE Conference on Control Technology and Applications (CCTA), 453-458, 2021 | 4 | 2021 |
| Coordination for Connected Automated Vehicles at Merging Roadways in Mixed Traffic Environment VA Le, HM Wang, G Orosz, AA Malikopoulos 2023 62nd IEEE Conference on Decision and Control (CDC), 4150-4155, 2023 | 3 | 2023 |
| Distributed Experiment Design and Control for Multi-agent Systems with Gaussian Processes VA Le, TX Nghiem 2021 IEEE Conference on Decision and Control (CDC), 2226-2231, 2021 | 2 | 2021 |
| Controller Adaptation via Learning Solutions of Contextual Bayesian Optimization VA Le, AA Malikopoulos arXiv preprint arXiv:2403.04881, 2024 | 1 | 2024 |
| A Survey on Small-Scale Testbeds for Connected and Automated Vehicles and Robot Swarms A Mokhtarian, P Scheffe, M Kloock, S Schäfer, H Bang | | 2024 |
Andreas A. MalikopoulosProfessor, Cornell University在 cornell.edu 的电子邮件经过验证
