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Flexible multi-UAV formation control via integrating deep reinforcement learning and affine transformations
Y Liu, Z Liu, G Wang, C Yan, X Wang… - Aerospace Science and …, 2024 - Elsevier
As the applications of multiple unmanned aerial vehicle (multi-UAV) systems increasingly
expand, achieving formation maintenance while ensuring safety becomes a critical …
expand, achieving formation maintenance while ensuring safety becomes a critical …
An improved artificial electric field algorithm for robot path planning
J Tang, Q Pan, Z Chen, G Liu, G Yang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Effectively improving the optimization performance of artificial electric field algorithm (AEFA)
and broadening its application domain can aid in providing robot path planning in 3-D …
and broadening its application domain can aid in providing robot path planning in 3-D …
Distributed collision-free bearing coordination of multi-UAV systems with actuator faults and time delays
Coordination of unmanned aerial vehicle (UAV) systems has received great attention from
robotics and control communities. In this paper, we investigate the distributed formation …
robotics and control communities. In this paper, we investigate the distributed formation …
Hierarchical perception-improving for decentralized multi-robot motion planning in complex scenarios
Multi-robot cooperative navigation is an important task, which has been widely studied in
many fields like logistics, transportation, and disaster rescue. However, most of the existing …
many fields like logistics, transportation, and disaster rescue. However, most of the existing …
A varying-parameter complementary neural network for multi-robot tracking and formation via model predictive control
X Li, X Ren, Z Zhang, J Guo, Y Luo, J Mai, B Liao - Neurocomputing, 2024 - Elsevier
In this paper, a varying-parameter complementary neural network (VPCNN) is designed and
combined with model predictive control (MPC) to solve the multi-robot tracking and formation …
combined with model predictive control (MPC) to solve the multi-robot tracking and formation …
Collision-free path planning for multiple robots using efficient turn-angle assignment
The ability to avoid collisions with moving robots is critical in many applications. Moreover, if
the robots have limited battery life, the goal is not only to avoid collisions but also to design …
the robots have limited battery life, the goal is not only to avoid collisions but also to design …
[HTML][HTML] Multiple autonomous underwater vehicle formation obstacle avoidance control using event-triggered model predictive control
L Wang, X Xu, B Han, H Zhang - Journal of Marine Science and …, 2023 - mdpi.com
In this paper, multiple autonomous underwater vehicle (multi-AUV) formation control with
obstacle avoidance ability in 3D complex underwater environments based on an event …
obstacle avoidance ability in 3D complex underwater environments based on an event …
Event-triggered tracking formation of networked nonlinear intelligent transportation systems surrounded by random disturbances
This article proposes an event-triggered (ET) communication mechanism for cooperative
control in a group of networked intelligent transportation systems (ITSs). The ITS is …
control in a group of networked intelligent transportation systems (ITSs). The ITS is …
A hierarchical multi-vehicle coordinated motion planning method based on interactive spatio-temporal corridors
X Zhang, B Wang, Y Lu, H Liu, J Gong… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Multi-vehicle coordinated motion planning has always been challenged to safely and
efficiently resolve conflicts under non-holonomic dynamic constraints. Constructing spatial …
efficiently resolve conflicts under non-holonomic dynamic constraints. Constructing spatial …