In this paper, we propose a distributed model predictive control strategy for a team of
vehicles moving in an unknown obstacle scenario. In particular, we combine receding …

In this article, a novel distributed model predictive control architecture is proposed for the
coordination and control of multivehicle formations moving within uncertain environments …

In this paper, we present a distributed model predictive control (MPC) strategy for path
following and formation control of multi-agent systems with collision avoidance guarantees …

Considering that the inevitable disturbances and coupled constraints pose an ongoing
challenge to distributed control algorithms, this paper proposes a distributed robust model …

Autonomous driving has been gaining more and more attention in the last decades, thanks
to its positive social-economic impacts including the enhancement of traffic efficiency and …

This paper proposes an improvement of a motion planning approach and a modified model
predictive control (MPC) for solving the navigation problem of a team of dynamical wheeled …

In this note, the reference tracking problem for teams of unmanned vehicles subject to
formation constraints is solved via a model predictive control (MPC) algorithm built up in a …

This paper deals with the problem of distributed formation tracking control and obstacle
avoidance of multi-vehicle systems (MVSs) in complex obstacle-laden environments. The …

This paper reviews model predictive control (MPC) and its wide applications to both single
and multiple autonomous ground vehicles (AGVs). On one hand, MPC is a well-established …

This paper investigates a method for pose control of multiple nonholonomic vehicles using
time-optimal control in a Model Predictive Control (MPC) framework. The vehicles are …