A comprehensive survey on artificial intelligence for unmanned aerial vehicles
Artificial Intelligence (AI) is an emerging technology that finds its application in various
industries. Integration of AI in Unmanned Aerial Vehicles (UAVs) can lead to tremendous …
industries. Integration of AI in Unmanned Aerial Vehicles (UAVs) can lead to tremendous …
A secure adaptive control for cooperative driving of autonomous connected vehicles in the presence of heterogeneous communication delays and cyberattacks
The development of autonomous connected vehicles, moving as a platoon formation, is a
hot topic in the intelligent transportation system (ITS) research field. It is on the road and …
hot topic in the intelligent transportation system (ITS) research field. It is on the road and …
Active disturbance rejection‐based event‐triggered bipartite consensus control for nonaffine nonlinear multiagent systems
This article investigates the active disturbance rejection‐based distributed event‐triggered
bipartite consensus problem of nonaffine nonlinear multiagent systems with input saturation …
bipartite consensus problem of nonaffine nonlinear multiagent systems with input saturation …
Near-optimal control of nonlinear dynamical systems: A brief survey
For nonlinear dynamical systems, an optimal control problem generally requires solving a
partial differential equation called the Hamilton–Jacobi–Bellman equation, the analytical …
partial differential equation called the Hamilton–Jacobi–Bellman equation, the analytical …
Autonomous uav navigation using reinforcement learning
Unmanned aerial vehicles (UAV) are commonly used for missions in unknown
environments, where an exact mathematical model of the environment may not be available …
environments, where an exact mathematical model of the environment may not be available …
A distributed control framework of multiple unmanned aerial vehicles for dynamic wildfire tracking
Wild-land fire fighting is a hazardous job. A key task for firefighters is to observe the “fire
front” to chart the progress of the fire and areas that will likely spread next. Lack of …
front” to chart the progress of the fire and areas that will likely spread next. Lack of …
Consensus switching of second-order multiagent systems with time delay
Q Ma, S Xu - IEEE Transactions on Cybernetics, 2020 - ieeexplore.ieee.org
This technical correspondence studies the consensus problem for second-order multiagent
systems under network topologies with a directed spanning tree. Consensus analysis for …
systems under network topologies with a directed spanning tree. Consensus analysis for …
Distributed formation control for multiple vertical takeoff and landing UAVs with switching topologies
Y Zou, Z Zhou, X Dong, Z Meng - IEEE/ASME Transactions on …, 2018 - ieeexplore.ieee.org
This paper proposes a distributed formation control approach for a team of vertical takeoff
and landing (VTOL) unmanned aerial vehicles (UAVs) subject to switching topologies. The …
and landing (VTOL) unmanned aerial vehicles (UAVs) subject to switching topologies. The …
Cooperative and distributed reinforcement learning of drones for field coverage
This paper proposes a distributed Multi-Agent Reinforcement Learning (MARL) algorithm for
a team of Unmanned Aerial Vehicles (UAVs). The proposed MARL algorithm allows UAVs to …
a team of Unmanned Aerial Vehicles (UAVs). The proposed MARL algorithm allows UAVs to …
Reinforcement learning for autonomous UAV navigation using function approximation
Ahstract-Unmanned aerial vehicles (UAV) are commonly used for search and rescue
missions in unknown environments, where an exact mathematical model of the environment …
missions in unknown environments, where an exact mathematical model of the environment …