My Favorite Application Using Eigenvalues: Convergence of Consensus in Multiagent Networks

نویسنده

  • William Edwards
چکیده

This paper discusses the consensus problem for distributed multiagent networks–an important problem in cooperative control and computer science. In particular it examines the convergence properties of one solution to the average consensus problem for networks of dynamic agents. We first consider fixed-topology networks with instantaneous agent-to-agent communication, determine the conditions sufficient for convergence, and relate the spectral properties of the network to the convergence rate. We next consider networks with dynamic topology and instantaneous communication, not only determining the conditions sufficient for convergence, but also bounding the convergence with the spectral properties of the network. Finally, we examine fixed networks in which there may be a delay in communication and find that maximum allowable delay in communication is bounded by the spectral properties of the network. 1 History and Motivation Technological advances over the last fifteen years have inspired a broad interest in autonomous and semi-autonomous vehicles. As the abilities of the individual vehicle grew and computation and communication capabilities improved, the capacity of networks of vehicles to cooperatively achieve a goal beyond the ability of the individual attracted several researchers [1]. In fact, there already exists a broad spectrum of applications for multiagent systems, including flight formation of unmanned aerial vehicles (UAVs), congestion control in communication networks, flocking, and distributed sensor networks [2].

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

My favorite application using eigenvalues: partitioning and community detection in social networks

Social networks are often organized into families, friendship groups, and institutional bodies. However, this organization, functional groups of friends and acquaintances especially, may not always be apparent from the characteristics of the individuals or from global measures of network structure. Community detection methods provide a means to identify cohesive and/or inter-dependent clusters ...

متن کامل

A Multiagent Reinforcement Learning algorithm to solve the Community Detection Problem

Community detection is a challenging optimization problem that consists of searching for communities that belong to a network under the assumption that the nodes of the same community share properties that enable the detection of new characteristics or functional relationships in the network. Although there are many algorithms developed for community detection, most of them are unsuitable when ...

متن کامل

My favorite application using eigenvalues: Eigenvalues and the Graham-Pollak Theorem

The famous Graham-Pollak Theorem states that one needs at least n− 1 complete bipartite subgraphs to partition the edge set of the complete graph on n vertices. Originally proved in conjunction with addressing for networking problems, this theorem is also related to perfect hashing and various questions about communication complexity. Since it’s original proof using Sylvester’s Law of Intertia,...

متن کامل

A new virtual leader-following consensus protocol to internal and string stability analysis of longitudinal platoon of vehicles with generic network topology under communication and parasitic delays

In this paper, a new virtual leader following consensus protocol is introduced to perform the internal and string stability analysis of longitudinal platoon of vehicles under generic network topology. In all previous studies on multi-agent systems with generic network topology, the control parameters are strictly dependent on eigenvalues of network matrices (adjacency or Laplacian). Since some ...

متن کامل

Consensus acceleration in multiagent systems with the Chebyshev semi-iterative method

We consider the fundamental problem of reaching consensus in multiagent systems. To date, the consensus problem has been typically solved with decentralized algorithms based on graph Laplacians. However, the convergence of these algorithms is often too slow for many important multiagent applications, and thus they are increasingly being combined with acceleration methods. Unfortunately, state-o...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2013