# Search

Now showing items 1-9 of 9

#### Consensus-Based Distributed Filtering

(2010-03)

We address the consensus-based distributed linear filtering problem, where a discrete time,
linear stochastic process is observed by a network of sensors. We assume that the consensus weights are known and we first provide ...

#### The asymptotic consensus problem on convex metric spaces

(2010-03)

A consensus problem consists of a group of dynamic agents who seek to agree
upon certain quantities of interest. The agents exchange information according to a communication network modeled as a directed time-varying ...

#### A non-heuristic distributed algorithm for non-convex constrained optimization

(2013-02-15)

In this paper we introduce a discrete-time, distributed optimization algorithm executed by a set of
agents whose interactions are subject to a communication graph. The algorithm can be applied to optimization
problems ...

#### Distributed algorithms for optimization problems with equality constraints

(2013-02-28)

In this paper we introduce two discrete-time, distributed optimization algorithms executed by a set of agents
whose interactions are subject to a communication graph. The algorithms can be applied to optimization ...

#### A performance comparison between two consensus-based distributed optimization algorithms

(2012-05-04)

In this paper we address the problem of multi-agent optimization for convex functions
expressible as sums of convex functions. Each agent has access to only one function in the sum and
can use only local information to ...

#### A randomized gossip consensus algorithm on convex metric spaces

(2012-02-20)

A consensus problem consists of a group of dynamic agents who seek to agree upon certain quantities of
interest. This problem can be generalized in the context of convex metric spaces that extend the standard notion
of ...

#### Nonlinear Programming Methods for Distributed Optimization

(2015-01)

In this paper we investigate how standard nonlinear programming algorithms can be used to solve constrained
optimization problems in a distributed manner. The optimization setup consists of a set of agents interacting ...

#### Flow Control in Time-Varying, Random Supply Chains

(2012-02)

Today’s supply chains are more and more complex. They depend on a network of independent, yet
interconnected moving parts. They rely on critical infrastructures and experience a lot of time variability
and randomness. ...

#### A non-consensus based distributed optimization algorithm

(2013-02-27)

In this paper we introduce a discrete-time, distributed optimization algorithm executed by a set of agents
whose interactions are subject to a communication graph. The algorithm can be applied to optimization costs that
are ...