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Proceedings ArticleDOI

Achieving a desired collective centroid by a formation of agents moving in a controllable force field

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TLDR
In this article, an all-to-all coupled planar motion model is proposed to solve the problem of a formation of agents trying to achieve a desired stationary or moving collective centroid.
Abstract
In this paper, we study the problem of a formation of agents trying to achieve a desired stationary or moving collective centroid. The agents are assumed to be moving in a force field which is controlled externally. The stabilization of the collective centroid to a fixed desired location results in a balanced formation of the agents about that point. Similarly, the centroid of the system of agents may be required to move along a certain given trajectory. For this, the centroid of the formation must converge to the desired trajectory. To solve this problem, we propose an all-to-all coupled planar motion model that explicitly incorporates an additional control pertaining to the external force field. Simulation results are presented to support the theoretical findings.

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Citations
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Journal ArticleDOI

Circular Formation Control of Multiple Unicycle-Type Agents With Nonidentical Constant Speeds

TL;DR: This paper proposes a combined controller to stabilize a formation shape and synchronize the heading of each agent simultaneously and considers several different formation design approaches based on different formation specifications under different interaction graphs.

Control of Many Agents Using Few Instructions

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Proceedings Article

Moving Agents in Formation in Congested Environments

TL;DR: This paper develops a two-phase search algorithm, called SWARM-MAPF, whose first phase is inspired by swarm-based algorithms (in open regions) and whose second phase isinspired by multi-agent path-finding (MAPF) algorithms ( in congested regions).
Journal ArticleDOI

Robust stabilization of balanced and splay formations with heterogeneous controller gains

TL;DR: This paper analyses collective motion of multi-vehicle systems in balanced or splay formation when the vehicles are equipped with heterogeneous controller gains and proposes strategies to achieve such balanced and splay formations about a desired centroid location while allowing the vehicles to move either along straight line paths or on individual circular orbits.
Proceedings ArticleDOI

A heterogeneous control gain approach to achieve a desired collective centroid by a formation of agents

TL;DR: This paper proposes a heterogeneous gains based controller design methodology to stabilize a particular type of collective motion in a multi-agent system where the heading angles of the agents are in balanced formation and derives feedback control laws that operate with heterogeneous control gains.
References
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Journal ArticleDOI

From Kuramoto to Crawford: exploring the onset of synchronization in populations of coupled oscillators

TL;DR: In this article, the authors review 25 years of research on the Kuramoto model, highlighting the false turns as well as the successes, but mainly following the trail leading from Kuramoto's work to Crawford's recent contributions.
BookDOI

Distributed Consensus in Multi-vehicle Cooperative Control

Wei Ren, +1 more
TL;DR: In this article, the authors present a survey of the use of consensus algorithms in multi-vehicle cooperative control, including single-and double-integrator dynamical systems, rigid-body attitude dynamics, rendezvous and axial alignment, formation control, deep-space formation flying, fire monitoring and surveillance.
Journal ArticleDOI

Collective Motion, Sensor Networks, and Ocean Sampling

TL;DR: This paper addresses the design of mobile sensor networks for optimal data collection by using a performance metric, used to derive optimal paths for the network of mobile sensors, to define the optimal data set.
Book

Elementary linear algebra

Howard Anton
TL;DR: This book discusses systems of Linear Equations and Matrices and its applications in vector spaces, as well as some of theorems on how to model ellipsoidal spaces and the role of Eigenvalues in these spaces.
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