Consensus in multi-agent systems: a review
A Amirkhani, AH Barshooi - Artificial Intelligence Review, 2022 - Springer
This paper provides a review of the consensus problem as one of the most challenging
issues in the distributed control of the multi-agent systems (MASs). In this survey, firstly, the …
issues in the distributed control of the multi-agent systems (MASs). In this survey, firstly, the …
A tutorial on modeling and analysis of dynamic social networks. Part II
AV Proskurnikov, R Tempo - Annual Reviews in Control, 2018 - Elsevier
Recent years have witnessed a significant trend towards filling the gap between Social
Network Analysis (SNA) and control theory. This trend was enabled by the introduction of …
Network Analysis (SNA) and control theory. This trend was enabled by the introduction of …
[图书][B] Lectures on network systems
Topics These lecture notes are intended primarily for graduate students interested in
network systems, distributed algorithms, and cooperative control. The objective is to answer …
network systems, distributed algorithms, and cooperative control. The objective is to answer …
An overview of recent progress in the study of distributed multi-agent coordination
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 …
focusing on papers published in major control systems and robotics journals since 2006 …
Graph theoretic methods in multiagent networks
M Mesbahi - 2010 - torrossa.com
“I don't want to achieve immortality through my work... I want to achieve it through not dying.”—
Woody Allen The emergence of (relatively) cheap sensing and actuation nodes, capable of …
Woody Allen The emergence of (relatively) cheap sensing and actuation nodes, capable of …
On distributed convex optimization under inequality and equality constraints
M Zhu, S Martinez - IEEE Transactions on Automatic Control, 2011 - ieeexplore.ieee.org
We consider a general multi-agent convex optimization problem where the agents are to
collectively minimize a global objective function subject to a global inequality constraint, a …
collectively minimize a global objective function subject to a global inequality constraint, a …
Optimal graph-filter design and applications to distributed linear network operators
S Segarra, AG Marques… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
We study the optimal design of graph filters (GFs) to implement arbitrary linear
transformations between graph signals. GFs can be represented by matrix polynomials of …
transformations between graph signals. GFs can be represented by matrix polynomials of …
Model free adaptive iterative learning consensus tracking control for a class of nonlinear multiagent systems
This paper proposes a distributed model free adaptive iterative learning control (MFAILC)
method for a class of unknown nonlinear multiagent systems to perform consensus tracking …
method for a class of unknown nonlinear multiagent systems to perform consensus tracking …
Opinion dynamics and learning in social networks
D Acemoglu, A Ozdaglar - Dynamic Games and Applications, 2011 - Springer
We provide an overview of recent research on belief and opinion dynamics in social
networks. We discuss both Bayesian and non-Bayesian models of social learning and focus …
networks. We discuss both Bayesian and non-Bayesian models of social learning and focus …
Gossip algorithms for distributed signal processing
AG Dimakis, S Kar, JMF Moura… - Proceedings of the …, 2010 - ieeexplore.ieee.org
Gossip algorithms are attractive for in-network processing in sensor networks because they
do not require any specialized routing, there is no bottleneck or single point of failure, and …
do not require any specialized routing, there is no bottleneck or single point of failure, and …