A group of cooperative agents can finish complicated missions that are difficult for a large
machine. In the past two decades, spacecraft attitude coordination has attracted significant …

In this paper, a distributed learning leader-follower consensus protocol based on Gaussian
process regression for a class of nonlinear multi-agent systems with unknown dynamics is …

In this paper, the rotating consensus problem for the multi-agent systems of double-
integrator dynamic is mainly considered with and without communication delay. A fully …

We investigate a novel nonlinear consensus from the extreme points of doubly stochastic
quadratic operators (EDSQO), based on majorization theory and Markov chains for time …

This paper studies leader-following consensus of second-order multi-agent systems with
input delays. Firstly, a feedback tracking control protocol with the leaders delayed-state …

This research introduces exponential quadratic stochastic consensus (EQSC), a novel
approach to achieving consensus in multi-agent systems (MAS) under undirected graph …

This paper proposes a novel framework for studying the consensus problem for a class of
nonlinear multi-agent systems (MASs) based on decentralized output-feedback stabilization …

This article explores nonlinear convergence to limit the effects of the consensus problem that
usually occurs in multi-agent systems. Most of the existing research essentially considers the …

Consensus problems in multi agent systems (MAS) are theoretical aspect convergence of
doubly stochastic quadratic operators. This work has presented the dynamic classifications …

Nowadays, to solve a problem, people/systems typically use knowledge from different
sources. A binary vector is a useful structure to represent knowledge states, and determining …