Introduction

Networked systems are complex dynamical systems composed of a large number of simple systems interacting through a communication medium. These systems arise as natural models in many areas of engineering and sciences, such as control networks, distributed computing, communication & sensor networks, autonomous unmanned vehicles, biological networks, and animal cooperative aggregation and flocking.

There are two features that are common to all these systems: firstly they deal with complex dynamics; secondly designing globally optimal behavior for these systems requires the solution of large-scale optimization problems, which typically necessitate a prohibitive amount of computational effort. Desirable features of the operation of these systems include robustness to uncertainties and disturbances, and adaptability to environmental changes.

Thematic areas
Coordinated control and estimation over networks.
Consensus and distributed averaging.
Multivehicle systems and flocking.
Control with communication constraints and quantization.
Decentralized algorithms for computation over sensor networks.
Randomized algorithms and gossip algorithms.
Message passing algorithms and belief propagation.
Graph models for networks. Percolation. Network coding.
Distributed and decentralized signal processing.
Decentralized and cooperative optimization.
Transportation and human networks.

Organisation

The workshop follows the same structure and organization as the first successful NeCSYS’09 in Venice it will consist of two days of during which 10 keynote invited talks by international experts and 4 interactive sessions of contributed papers. The number of contributions per session will be limited to promote interactions with all participants.