Sieve method for consensus-type network tomography

A Sieve Method for Consensus-type Network Tomography

In this note, we examine the problem of identifying the interaction geometry among a known number of agents, adopting a consensus-type algorithm for their coordination. The proposed identification process is facilitated by introducing “ports” for stimulating a subset of network vertices via an appropriately defined interface and observing the network’s response at another set of vertices. It is...

Adaptive Neural Network Method for Consensus Tracking of High-Order Mimo Nonlinear Multi-Agent Systems

This paper is concerned with the consensus tracking problem of high order MIMO nonlinear multi-agent systems. The agents must follow a leader node in presence of unknown dynamics and uncertain external disturbances. The communication network topology of agents is assumed to be a fixed undirected graph. A distributed adaptive control method is proposed to solve the consensus problem utilizing re...

adaptive neural network method for consensus tracking of high-order mimo nonlinear multi-agent systems

this paper is concerned with the consensus tracking problem of high order mimo nonlinear multi-agent systems. the agents must follow a leader node in presence of unknown dynamics and uncertain external disturbances. the communication network topology of agents is assumed to be a fixed undirected graph. a distributed adaptive control method is proposed to solve the consensus problem utilizing re...

A Sieve Method for Factoring Numbers

Two Algorithms for the Sieve Method

We present two algorithms that implement the sieve method. The first one sieves numbers. It finds the numbers of objects that have exactly each number of properties. The second sieves sets. It finds the sets of objects that have exactly each number of properties. The algorithms are essentially identical, and both are direct descendants of Horner's method for solving polynomial equations, a meth...