Extremum-seeking control tracks a varying maximum or minimum in a performance function
such as output or cost. It attempts to determine the optimal performance of a control system …

We present a survey on the application of fluid approximations, in the form of mean-field
models, to the design of control strategies in swarm robotics. Mean-field models that consist …

In this paper, we review multi-agent collective behavior algorithms in the literature and
classify them according to their underlying mathematical structure. For each mathematical …

Stochastic Averaging and Extremum Seeking treats methods inspired by attempts to
understand the seemingly non-mathematical question of bacterial chemotaxis and their …

We apply the recently introduced method of stochastic extremum seeking to navigate a
nonholonomic unicycle towards the maximum of an unknown, spatially distributed signal …

We present a distributed control algorithm simultaneously solving both the stochastic target
assignment and optimal motion control for large-scale swarms to achieve complex formation …

In this paper, autonomous mobile sensor networks are deployed to measure a scalar field
and build its map. We develop a novel method for multiple mobile sensor nodes to build this …

The task of locating a source based on the measurements of the signal emitted/emanating
from it is called the source-seeking problem. In the past few years, there has been a lot of …

This paper addresses the source-seeking problem in which a group of autonomous vehicles
must locate and follow the source of some signal based on measurements of the signal …

We consider the problem of designing controllers to steer mobile robots to the source (the
minimizer) of a signal field. In addition to the mobility constraints, eg, posed by the …