A reinforcement learning approach for UAV target searching and tracking
Owing to the advantages of Unmanned Aerial Vehicle (UAV), such as the extendibility,
maneuverability and stability, multiple UAVs are having more and more applications in …
maneuverability and stability, multiple UAVs are having more and more applications in …
A scalable multitarget tracking system for cooperative unmanned aerial vehicles
In this paper, we present a decentralized multitarget tracking system for cooperative
unmanned aerial vehicles (UAVs) with limited sensing capabilities. The proposed system …
unmanned aerial vehicles (UAVs) with limited sensing capabilities. The proposed system …
Model predictive control and moving horizon estimation for water level regulation in inland waterways
This work regards the design of optimization techniques for the purposes of state estimation
and control in the framework of inland waterways, often characterized by negligible bottom …
and control in the framework of inland waterways, often characterized by negligible bottom …
Real-time estimation of microgrid inertia and damping constant
The displacement of rotational generation and the consequent reduction in system inertia is
expected to have major stability and reliability impacts on modern power systems. Fast …
expected to have major stability and reliability impacts on modern power systems. Fast …
Real-time and dynamically consistent estimation of muscle forces using a moving horizon emg-marker tracking algorithm—application to upper limb biomechanics
Real-time biofeedback of muscle forces should help clinicians adapt their movement
recommendations. Because these forces cannot directly be measured, researchers have …
recommendations. Because these forces cannot directly be measured, researchers have …
[HTML][HTML] External force estimation and disturbance rejection for micro aerial vehicles
Abstract To deploy Micro Aerial Vehicles (MAVs) in real-world applications, there is a need
for online methods to cope with uncertainties in localization and external disturbances. In …
for online methods to cope with uncertainties in localization and external disturbances. In …
Long-Term Tracking of Evasive Urban Target Based on Intention Inference and Deep Reinforcement Learning
P Yan, J Guo, X Su, C Bai - IEEE Transactions on Neural …, 2023 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs) have been widely used in urban target-tracking tasks,
where long-term tracking of evasive targets is of great significance for public safety …
where long-term tracking of evasive targets is of great significance for public safety …
Decentralized real-time estimation and tracking for unknown ground moving target using UAVs
C Hu, Z Zhang, Y Tao, N Wang - IEEE Access, 2018 - ieeexplore.ieee.org
This paper presents a decentralized cooperative tracking strategy based on information
filtering with consensus analysis and model predictive control (MPC) for multiple unmanned …
filtering with consensus analysis and model predictive control (MPC) for multiple unmanned …
Robust guidance strategy for target circulation by controlled UAV
JLG Olavo, GD Thums, TA Jesus… - … on Aerospace and …, 2018 - ieeexplore.ieee.org
A controlled fixed-wing unmanned aerial vehicle is modeled as a simplified low-dimensional
nonlinear dynamical system with additive disturbances. The guidance strategy presented …
nonlinear dynamical system with additive disturbances. The guidance strategy presented …
Optimal control problems in drone operations for disaster search and rescue
FL Pereira - Procedia Computer Science, 2021 - Elsevier
This article concerns some optimal control problems arising in the operation of drone
systems to support search and rescue operations in the aftermath of disasters, such as …
systems to support search and rescue operations in the aftermath of disasters, such as …