In recent years, the control synthesis and analysis of networked control systems (NCSs)
have attracted increasing attention from both industrial and scientific communities, and many …

Artificial perception for robots operating in outdoor natural environments, including forest
scenarios, has been the object of a substantial amount of research for decades. Regardless …

Autonomous underwater vehicles (AUVs) have been widely employed in ocean survey,
monitoring, and search and rescue tasks for both civil and military applications. It is …

In this paper, a neural-dynamic distributed scheme is proposed for the cooperative control of
multiple redundant manipulators with limited communications. It is guaranteed that, with the …

In this paper, a leader-following consensus scheme is presented for networked uncertain
nonlinear strict-feedback systems with unknown control directions under directed graphs …

Unmanned aerial vehicles (UAV) are commonly used for missions in unknown
environments, where an exact mathematical model of the environment may not be available …

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 …

In recent decades, primal-dual neural networks, as a special type of recurrent neural
networks, have received great success in real-time manipulator control. However, noises are …

In this paper, a distributed scheme is proposed for the cooperative motion generation in a
distributed network of multiple redundant manipulators. The proposed scheme can …

This paper investigates the control of a massive population of UAVs such as drones. The
straightforward method of control of UAVs by considering the interactions among them to …