Although deep reinforcement learning (DRL) methods are promising for making behavioral
decisions in autonomous vehicles (AVs), their low training efficiency and difficulty to adapt to …

This paper proposes a novel prescribed-time elliptical circumnavigation strategy for multiple
fixed-wing unmanned aerial vehicles (UAVs) to track and encircle multiple moving targets …

This paper addresses a path-guided formation-containment control problem by virtue of the
aperiodic communication for networked heterogeneous multi-vehicle systems suffering from …

Achieving unbiased control is a challenging problem when there is an unknown
measurement bias in the sensor. For a class of nonholonomic mobile robots with positioning …

Multiview clustering (MVC) provides a natural formulation to generate clusters for multiview
data, which is fundamental to lots of industrial tasks like autonomous driving, defect …

This article copes with the distributed control and target tracking (DCTT) problem in general
linear and Lipschitz multiagent systems (MASs). In comparison to the traditional DCTT …

This research introduces a unified parametric output function based control law for
autonomous navigation of nonholonomic Wheeled Mobile Robots (WMRs) through various …