Learning Hybrid Policies for MPC with Application to Drone Flight in Unknown Dynamic Environments

Z Feng, J Chen, W Xiao, J Sun, B Xin… - arXiv preprint arXiv …, 2024 - arxiv.org
In recent years, drones have found increased applications in a wide array of real-world
tasks. Model predictive control (MPC) has emerged as a practical method for drone flight …

Distributed data-driven consensus control of multi-agent systems under switched uncertainties

W Liu, Y Li, G Wang, J Sun, J Chen - Control Theory and Technology, 2023 - Springer
Cooperative control of multi-agent systems (MASs), particularly consensus control, has
gained significant attention in the last two decades, thanks to the rapid and sustained …

Data-driven Polytopic Output Synchronization from Noisy Data

Y Li, W Liu, G Wang, J Sun, L Xie… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
This paper proposes a novel approach to address the output synchronization problem for
unknown heterogeneous multi-agent systems (MASs) using noisy data. Unlike existing …

Data-driven Polytopic Output Synchronization of Heterogeneous Multi-agent Systems from Noisy Data

Y Li, W Liu, J Sun, G Wang, L Xie, J Chen - arXiv preprint arXiv …, 2023 - arxiv.org
This paper proposes a novel approach to addressing the output synchronization problem in
unknown heterogeneous multi-agent systems (MASs) using noisy data. Unlike existing …

[引用][C] IDSSL: Intent Detection Module Based on Self-Supervised Learning for Trajectory Prediction

C Jin, S Kuang, P Cui, Y Zhang - Unmanned Systems, 2023 - World Scientific
Trajectory prediction models play a crucial role in various applications such as autonomous
driving and human–robot interaction. For trajectory prediction models, understanding and …

[引用][C] Distributed Formation Control of Multi-Agent Systems: A Novel Fast-Optimal Balanced Differential Game Approach

W Xue, J Huang, N Chen, Y Chen, D Lin - Unmanned Systems, 2023 - World Scientific
This paper proposes an efficient fast-optimal balanced differential game (DG) approach to
address the formation control problem in dynamic environments for networked multi-agent …