In this paper, we consider the unconstrained distributed optimization problem, in which the
exchange of information in the network is captured by a directed graph topology, thus, nodes …

Abstract We introduce a Distributed Model Predictive Control (DMPC) algorithm, which is
based on the novel idea of projecting predicted trajectories on a quantised spatial set to …

Controlling a fleet of autonomous underwater vehicles can be challenging due to low data-
rate communication between agents. This paper proposes a real-time framework with an …

In this paper, we consider the unconstrained distributed optimization problem, in which the
exchange of information in the network is captured by a directed graph topology, and thus …

In this paper, we propose the inexact alternating minimization algorithm (inexact AMA),
which allows inexact iterations in the algorithm, and its accelerated variant, called the …

In this paper, we evaluate theoretical aspects of a distributed system of noncooperative
robots controlled by a distributed model predictive control scheme, which operates in a …

Many distributed systems rely on communication as a necessary condition to steer the
overall system to a reference or target state, which may lead to a large bandwidth …

Communication among distributed systems under the regime of a distributed model
predictive control scheme (DMPC), for example, mobile robots, is in many cases a …

Within this paper, we consider a group of mobile robots in a shared operation space
controlled by a distributed model predictive control scheme, where each robot is assigned …

This thesis contributes towards the design and analysis of fast and distributed optimization
algorithms based on splitting techniques, such as proximal gradient methods or alternation …