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Newton-Raphson consensus for distributed convex optimization
We address the problem of distributed unconstrained convex optimization under separability
assumptions, ie, the framework where each agent of a network is endowed with a local …
assumptions, ie, the framework where each agent of a network is endowed with a local …
Distributed control of multirobot systems with global connectivity maintenance
This study introduces a control algorithm that, exploiting a completely decentralized
estimation strategy for the algebraic connectivity of the graph, ensures the connectivity …
estimation strategy for the algebraic connectivity of the graph, ensures the connectivity …
Admissible output consensualization control for singular multi-agent systems with time delays
J **, M He, H Liu, J Zheng - Journal of the Franklin Institute, 2016 - Elsevier
Admissible output consensus design problems for high-order linear time-invariant singular
multi-agent systems with constant time delays are dealt with. Firstly, based on the …
multi-agent systems with constant time delays are dealt with. Firstly, based on the …
Decentralized estimation of Laplacian eigenvalues in multi-agent systems
In this paper, we present a decentralized algorithm to estimate the eigenvalues of the
Laplacian matrix that encodes the network topology of a multi-agent system. We consider …
Laplacian matrix that encodes the network topology of a multi-agent system. We consider …
A barycentric coordinate based distributed localization algorithm for sensor networks
This paper studies the problem of determining the sensor locations in a large sensor
network using only relative distance (range) measurements. Based on a generalized …
network using only relative distance (range) measurements. Based on a generalized …
Infinite impulse response graph filters in wireless sensor networks
Many signal processing problems in wireless sensor networks can be solved by graph
filtering techniques. Finite impulse response (FIR) graph filters (GFs) have received more …
filtering techniques. Finite impulse response (FIR) graph filters (GFs) have received more …
Newton-Raphson consensus for distributed convex optimization
We study the problem of unconstrained distributed optimization in the context of multi-agents
systems subject to limited communication connectivity. In particular we focus on the …
systems subject to limited communication connectivity. In particular we focus on the …
Dynamical systems theory and algorithms for NP-hard problems
This article surveys the burgeoning area at the intersection of dynamical systems theory and
algorithms for NP-hard problems. Traditionally, computational complexity and the analysis of …
algorithms for NP-hard problems. Traditionally, computational complexity and the analysis of …
Distributed computation of the Fiedler vector with application to topology inference in ad hoc networks
The Fiedler vector of a graph is the eigenvector corresponding to the smallest non-trivial
eigenvalue of the graph's Laplacian matrix. The entries of the Fiedler vector are known to …
eigenvalue of the graph's Laplacian matrix. The entries of the Fiedler vector are known to …
Seeing the bigger picture: How nodes can learn their place within a complex ad hoc network topology
This article explained how nodes in a network graph can infer information about the network
topology or its topology related properties, based on in-network distributed learning, ie …
topology or its topology related properties, based on in-network distributed learning, ie …