Applications of Machine Learning in Real-Time Control Systems: A Review
X Zhao, Y Sun, Y Li, N Jia, J Xu - Measurement Science and …, 2024 - iopscience.iop.org
Real-time control systems (RTCS) have become an indispensable part of modern industry,
finding widespread applications in fields such as robotics, intelligent manufacturing and …
finding widespread applications in fields such as robotics, intelligent manufacturing and …
Entry guidance for spatial no-fly zones avoidance via model-based reinforcement learning
X Li, X Wang, H Zhou - Aerospace Science and Technology, 2024 - Elsevier
This paper proposes a novel guidance law for hypersonic entry vehicles, considering no-fly
zones with height limits. Traditional planar assumptions restrict the flexibility of trajectory …
zones with height limits. Traditional planar assumptions restrict the flexibility of trajectory …
Weight-adaptive augmented Lagrange multiplier sequential convex programming for nonlinear trajectory optimization
CL Dong, L Xie, RZ He, X Zhou, HB Zhang - Aerospace Science and …, 2024 - Elsevier
Sequential convex programming has become a prominent research focus in aerospace
trajectory optimization due to its high computational efficiency. One critical challenge in …
trajectory optimization due to its high computational efficiency. One critical challenge in …
Dynamic event-triggered neuroadaptive fault-tolerant control of quadrotor UAV with a novel cosine kernel
The fault-tolerant control (FTC) for trajectory tracking of a quadrotor unmanned aerial vehicle
(UAV) has attracted researchers. The non-linear model of the UAV, coupled with model …
(UAV) has attracted researchers. The non-linear model of the UAV, coupled with model …
[HTML][HTML] Flow prediction of mountain cities arterial road network for real-time regulation
X Cai, Z Li, J Dai, L Lv, B Peng - Journal of King Saud University-Computer …, 2024 - Elsevier
This study aims to enhance the understanding of vehicle path selection behavior within
arterial road networks by investigating the influencing factors and analyzing spatial and …
arterial road networks by investigating the influencing factors and analyzing spatial and …
Unknown input observer based neuro-adaptive fault-tolerant control for vehicle platoons with sensor fault and output quantization
X Liu, M Yan, P Yang, Y Wang - Control Engineering Practice, 2024 - Elsevier
Sensor fault and output quantization are common issues acting on vehicle platoon, and they
may lead to performance deterioration, instability and even insecurity of the platoon …
may lead to performance deterioration, instability and even insecurity of the platoon …
Construction of kill webs with heterogeneous UAV swarms in dynamic contested environments
W Liu, Z Pan, W Han, X Su, D Yu, B Wan - Complex & Intelligent Systems, 2025 - Springer
With the concept of" mosaic warfare," a novel combat style that involves constructing" kill
webs" with unmanned aerial vehicle (UAV) swarms has emerged. However, little research …
webs" with unmanned aerial vehicle (UAV) swarms has emerged. However, little research …
A novel hybrid path planning method for sweep coverage of multiple UAVs
R Özdağ - The Journal of Supercomputing, 2025 - Springer
Sweep coverage (SC) is an NP-hard problem that needs to be solved with a small number of
mobile sensors (sensor nodes) to monitor or observe targets in wireless sensor networks …
mobile sensors (sensor nodes) to monitor or observe targets in wireless sensor networks …
An iterative learning-based integrated motion planning and control method for autonomous patrolling of unmanned surface vehicles
Y Tang, F Wu, X Gong, C Chen, H Liu… - Measurement …, 2024 - iopscience.iop.org
The minimization of maritime patrol durations and the optimization of patrol trajectories are
still a prevailing challenge for autonomous navigation of unmanned surface vehicles …
still a prevailing challenge for autonomous navigation of unmanned surface vehicles …