With the increasing integration of Distributed Energy Resources (DER) in the power grid, a
decentralized approach becomes essential for scheduling and allocation of resources in a …

We address the problem of reaching resilient consensus among a set of agents in the
presence of faulty nodes (attacked or noisy). We propose general algorithms, ie, receiving …

This paper investigates a distributed static and dynamic self-triggered impulsive control for
nonlinear multiagent systems (MASs) where the impulsive gains follow a normal distribution …

In this paper, we propose a distributed data collection algorithm for robotic networks, which
exploits the integration between compressed sensing (CS) and collaboration of mobile …

This paper addresses the problem of having a multi-agent system converging to a
rendezvous location for networks of agents without any type of localization sensor. A central …

This paper investigates a decentralized adaptive flocking control for crowded unmanned
underwater vehicle (UUV) swarm in the presence of uncertainties and input saturation …

This paper addresses the problem of having a multi-agent system converging to multiple
dynamic rendezvous areas for networks of agents with no localization sensors and limited …

Blockchain technology has the potential to disrupt applications beyond cryptocurrencies.
This work applies the concepts of blockchain technology to swarm robotics applications …

This paper studies an optimal control problem for multi-agent systems under adaptive
dynamic programming (ADP) framework. To overcome the restrictions resulting from the …

In this paper, we approach the problem of a set of network agents reaching resilient
consensus in the presence of a subset of attacked nodes. We devise a generalized method …