Publication

A Model Predictive Control Scheme for Consensus in multi-agent Systems with Single-Integrator Dynamics and Input Constraints

Publications associées (40)

A coordinator-driven communication reduction scheme for distributed optimization using the projected gradient method

We propose a way to estimate the value function of a convex proximal minimization problem. The scheme constructs a convex set within which the optimizer resides and iteratively refines the set every time that the value function is sampled, namely every tim ...

2018

A coordinator-driven communication reduction scheme for distributed optimization using the projected gradient method

Colin Neil Jones, Georgios Stathopoulos

IEEE2018

Consistent Tomography over Diffusion Networks under the Low-Observability Regime

Ali H. Sayed, Augusto José Rabelo Almeida Santos

This work considers a diffusion network responding to streaming data, and studies the problem of identifying the topology of a subnetwork of observable agents by tracking their output measurements. Topology inference from indirect and/or incomplete dataset ...

IEEE2018

Interior Point Decomposition for Multi-Agent Optimization

Colin Neil Jones, Altug Bitlislioglu, Ivan Pejcic

In this paper we present the application of the interior-point decomposition (IPD) method, which was originally formulated for stochastic programming, to optimization problems involving multiple agents that are coupled through constraints and objectives. I ...

2017

Structuring socio-technical complexity in infrastructure systems: an agent-based model

Reinier Verhoog, Amineh Ghorbani

In this paper we demonstrate how agent-based modelling can be used to understand the emergence of a new infrastructure system, more specifically, a biogas infrastructure in the Netherlands. The innovative element in our modelling approach is the use of MAI ...

2016

Leader-Based versus Soft Control of Multi-Agent Swarms

Guillaume Adrien Sartoretti

We focus on the control of heterogeneous swarms of agents that evolve in a random environment. Control is achieved by introducing special agents: leader and infiltrated (shill) agents. A refined distinction is made between hidden and apparent controlling a ...

Springer2015

Dictionary learning over large distributed models via dual-ADMM strategies

Ali H. Sayed

We consider the problem of dictionary learning over large scale models, where the model parameters are distributed over a multi-agent network. We demonstrate that the dual optimization problem for inference is better conditioned than the primal problem and ...

IEEE2014

Decentralized Self-Selection of Swarm Trajectories: From Dynamical Systems to Robotic Implementation

Francesco Mondada, Max-Olivier Hongler, Guillaume Adrien Sartoretti, Marcelo Elias de Oliveira

In this paper, we present a distributed control strategy, enabling agents to converge onto and travel along a consensually selected curve among a class of closed planar curves. Individual agents identify the number of neighbors within a finite circular sen ...

Springer Verlag2014

Optimal design of observable multi-agent networks: A structural system approach

Colin Neil Jones, Francisco Fernandes Castro Rego

This paper introduces a method to design observable directed multi-agent networks, that are: 1) either minimal with respect to a communications-related cost function, or 2) idem, under possible failure of direct communication between two agents. An observa ...

2014

Optimal Design of Observable Multi-Agent Networks: A Structural System Approach

Colin Neil Jones, Francisco Fernandes Castro Rego

IEEE2014

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