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In this paper we address the problem of driving a group of agents towards a consensus point when agents have a discrete-time integrator dynamics and the communication graph is time-varying. We propose two decentralized Model Predictive Control (MPC) scheme ...
In this paper, we consider the problem of driving a group of agents communicating through an undirected and weighted network towards a consensus point. We assume that agents obey to double-integrator dynamics and study decentralized control schemes for con ...
We present a modified version of the Particle swarm Optimization algorithm in which we adjust the virtual swarm search by incorporating inter-agent dynamics native to multi-robot search scenarios. The neighborhood structure of PSO is modified to accurately ...
This paper describes an agent-based model of socio-spatial segregation, result of a synthesis between « Schelling’s spatial segregation model » and a demographc model of dependency between household fertility rates and socio-economical status of their desc ...
Organized complexity is a characteristic feature of ecological systems with heterogeneous components interacting at several spatio-temporal scales. The hierarchy theory is a powerful epistemological framework to describe such systems by decomposing them ve ...
Research into the methods and techniques used in simulating crowds is now reaching maturity, but until now there is no book that focuses on this important topic. Prior approaches have been application-specific focusing on different aspects of collective be ...
Despite the rigour and ability of game theory to cope with oligopolistic electric markets, it fails to model many existing behaviours in the real-world circumstances. The traditional models such as statistical extrapolation or econometrics are not capable ...
A two-fields model that self-consistently describes the coupled, spectral dynamics of flute mode large-scale flows turbulence is presented. This model has a characteristic form of a 'predator-prey' system, in which the populations of flute mode quanta (pre ...
Combining networks of static sensors with minimalist robotic swarms might enable a new generation of micromachinery equipped with sensor and actuator networks for inspection, maintenance, and repair. In such a scenario, limited capabilities of swarm member ...
We show system identification of self-organizing, swarm robotic systems using a ``gray-box'' approach, based on probabilistic macroscopic models. At hand of a well studied case study concerned with the autonomous inspection of a regular structure by a swar ...
