There has been a continuous interest in multi-robot formation systems in the last few years
due to several significant advantages such as robustness, scalability, and efficiency …

This paper focuses on the application of surveillance and monitoring using unmanned aerial
vehicles (UAVs). A novel coverage model is proposed to characterize the quality of …

The cooperative motion of multiple mobile robots has attracted wide attention due to its
advantages in military, marine and aerospace fields, and formation control has become a …

The paper proposes the method of uniform flow loading the improved consensus algorithm
to achieve obstacle avoidance for multi‐UAV with 3‐D formation. In view of that the flow …

Through the last decade, we have witnessed a surge of Internet of Things (IoT) devices, and
with that a greater need to choreograph their actions across both time and space. Although …

Learning Based Model Predictive Control (LBMPC) is a new control policy that combines
statistical learning along with control engineering while providing levels of guarantees on …

In this paper, we investigate the problem of fault tolerant for a group of multiple autonomous
cooperative unmanned aerial vehicles (UAVs) during execution their mission in a desired …

In this paper, formation of a group of multiple cooperative unmanned aerial vehicles (UAVs)
in a desired geometrical pattern while tracking an aerial target is implemented using …

Having a shared and accurate sense of time is critical to distributed Cyber-Physical Systems
(CPS) and the Internet of Things (IoT). Thanks to decades of research in clock technologies …

Emerging Cyber-Physical Systems (CPS) such as connected vehicles and smart cities span
large geographical areas. These systems are increasingly distributed and interconnected …