In distributed optimization of multi-agent systems, agents cooperate to minimize a global
function which is a sum of local objective functions. Motivated by applications including …

The propagations of diseases, behaviors and information in real systems are rarely
independent of each other, but they are coevolving with strong interactions. To uncover the …

Proliferation of low-cost, lightweight, and power efficient sensors and advances in networked
systems enable the employment of multiple sensors. Distributed estimation provides a …

This paper reviews some main results and progress in distributed multi-agent coordination,
focusing on papers published in major control systems and robotics journals since 2006 …

Average consensus is a widely used algorithm for distributed computing and control, where
all the agents in the network constantly communicate and update their states in order to …

A network consists of two interdependent parts: the network topology or graph, consisting of
the links between nodes and the network dynamics, specified by some governing equations …

The global consensus problem for first-order continuous-time multi-agent systems with input
saturation is considered. In order to reduce the overall need of communication and system …

Cooperative control consensus is one of the most actively studied topics within the realm of
multi-agent systems. It generally aims to drive multi-agent systems to achieve a common …

In this paper, an output-constrained control algorithm is presented for the consensus control
of a class of unknown nonaffine multiagent systems (MASs) with partially unknown control …

Most algorithms for distributed averaging only guarantee asymptotic convergence. This
paper introduces a distributed protocol that allows nodes to find the exact average of the …