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Deep reinforcement learning-based air combat maneuver decision-making: literature review, implementation tutorial and future direction
Nowadays, various innovative air combat paradigms that rely on unmanned aerial vehicles
(UAVs), ie, UAV swarm and UAV-manned aircraft cooperation, have received great attention …
(UAVs), ie, UAV swarm and UAV-manned aircraft cooperation, have received great attention …
Prescribed performance control approaches, applications and challenges: A comprehensive survey
X Bu - Asian Journal of Control, 2023 - Wiley Online Library
As to control systems, transient performance is as important as steady‐state performance.
For some special dynamic systems, transient performance is a more prior index in …
For some special dynamic systems, transient performance is a more prior index in …
Enhanced multi-strategy bottlenose dolphin optimizer for UAVs path planning
G Hu, F Huang, A Seyyedabbasi, G Wei - Applied Mathematical Modelling, 2024 - Elsevier
The path planning of unmanned aerial vehicle is a complex practical optimization problem,
which is an important part of unmanned aerial vehicle technology. For constrained path …
which is an important part of unmanned aerial vehicle technology. For constrained path …
Robust bipartite tracking consensus of multi-agent systems via neural network combined with extended high-gain observer
In this paper, the robust bipartite tracking consensus problem for second-order multi-agent
systems has been addressed in the presence of lumped disturbances and unknown velocity …
systems has been addressed in the presence of lumped disturbances and unknown velocity …
Robust trajectory tracking control for a quadrotor using recursive sliding mode control and nonlinear extended state observer
L Chen, Z Liu, Q Dang, W Zhao, G Wang - Aerospace Science and …, 2022 - Elsevier
The trajectory tracking performance of a quadrotor is affected by the load variations, wind
gusts, inaccurate model parameters, etc. This study proposes a novel robust trajectory …
gusts, inaccurate model parameters, etc. This study proposes a novel robust trajectory …
Robust MPC-based trajectory tracking of autonomous underwater vehicles with model uncertainty
Z Yan, J Yan, S Cai, Y Yu, Y Wu - Ocean Engineering, 2023 - Elsevier
A robust model predictive control (MPC) method with dual closed-loops is presented to
handle trajectory tracking of autonomous underwater vehicle (AUV) with uncertain model …
handle trajectory tracking of autonomous underwater vehicle (AUV) with uncertain model …
When game theory meets satellite communication networks: A survey
Satellite communication networks have been considered an integral part of B5G and 6G
networks to achieve global coverage and enhanced Internet services. However, the …
networks to achieve global coverage and enhanced Internet services. However, the …
Decentralized iLQR for cooperative trajectory planning of connected autonomous vehicles via dual consensus ADMM
Cooperative trajectory planning of connected autonomous vehicles (CAVs) generally admits
strong nonlinearity and non-convexity, rendering great difficulties in finding the optimal …
strong nonlinearity and non-convexity, rendering great difficulties in finding the optimal …
A novel learning observer-based fault-tolerant attitude control for rigid spacecraft
T Cao, H Gong, P Cheng, Y Xue - Aerospace science and technology, 2022 - Elsevier
This paper investigates a learning observer-based fault-tolerant control strategy for a rigid
spacecraft attitude system with external disturbance, parameter uncertainty and actuator …
spacecraft attitude system with external disturbance, parameter uncertainty and actuator …
Flight trajectory and energy management coupled optimization for hybrid electric UAVs with adaptive sequential convex programming method
W Tian, L Liu, X Zhang, J Shao - Applied Energy, 2024 - Elsevier
Improving energy efficiency has important significance for hybrid electric UAVs. This paper
aims at improving energy efficiency by maximizing utilization solar energy, reducing demand …
aims at improving energy efficiency by maximizing utilization solar energy, reducing demand …