Workshop on Multi-Agent Coordination and Estimation - Program
Wednesday, February 3
Coherence in Large-Scale Networks: The Multi-Scale Effects of Feedback
Bassam Bamieh, University of California at Santa Barbara
A scalable approach to the control of large networks.
Glenn Vinnicombe, University of Cambridge
Primal and dual stability critera applied to large interconnected systems
Ulf Jönsson, KTH, Stockholm
Effect of Delay on Cooperative Control Schemes
Antonis Papachristodoulou, Oxford University
Structure and Stability in Feedback Networks
David Hill, Australian National University
Modeling and blind deconvolution via sparse representations
Tryphon Georgiou, University of Minnesota
Dynamic Coverage and Clustering: A Maximum Entropy Approach
Carolyn L. Beck, University of Illinois at Urbana-Champaign
Distributed Optimization: Analysis and Synthesis via Circuits
Stephen Boyd, Stanford University
Networked optimization: models and novel algorithms
Mikael Johansson, KTH, Stockholm
Thursday, February 4
On a Simple Multi-Agent Consensus Model With State-Dependent Connectivity
Vincent Blondel, Université catholique de Louvain
From Consensus to Social Learning in Complex Networks
Ali Jadbabaie, University of Pennsylvania
Distributed optimization-based coordination and estimation for multi-agent systems
Tamas Keviczky, Delft University of Technology
Qualitative and quantitative graph-theoretic aspects of convergence to consensus
Pierre-Alexandre Bliman, INRIA Rocquencourt
Consensus and contraction of the Hilbert metric
Rodolphe Sepulchre, Université de Liège
Estimation and control applications of linear consensus algorithms
Luca Schenato, University of Padova
Robustness of collective decision dynamics
Naomi Leonard, Princeton University
Universal patterns and transitions in collective motion
Tamas Vicsek, Eötvös Loránd University
Dynamics on graphs: synchronization and community detection
Mauricio Barahona, Imperial College London
Friday, February 5
Synthesis of decentralized control systems
John Swigart, Stanford University
Distributed model predictive control for water infrastructures
Bart De Schutter, Delft University of Technology
Bioplausible approaches to control using highly distributed, slow computing
Richard M. Murray, California Institute of Technology
Real time communication
P. R. Kumar, University of Illinois at Urbana-Champaign
From Gain-Scheduling to Distributed Control
Carsten Scherer, Delft University of Technology
On Real-Time Pricing for Strategic Agents
Cedric Langbort, University of Illinois at Urbana-Champaign
Multi-agent control with multi-resolution sensing over networks
Geir E. Dullerud, University of Illinois at Urbana-Champaign
Distributed verification of sparse systems
Anders Rantzer, Lund University