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Rigid graph control architectures for autonomous formations

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TLDR
In this paper, a theory for analyzing and creating architectures appropriate to the control of formations of autonomous vehicles is presented. The theory is based on ideas of rigid graph theory, some but not all of which are old.
Abstract
This article sets out the rudiments of a theory for analyzing and creating architectures appropriate to the control of formations of autonomous vehicles. The theory rests on ideas of rigid graph theory, some but not all of which are old. The theory, however, has some gaps in it, and their elimination would help in applications. Some of the gaps in the relevant graph theory are as follows. First, there is as yet no analogue for three-dimensional graphs of Laman's theorem, which provides a combinatorial criterion for rigidity in two-dimensional graphs. Second, for three-dimensional graphs there is no analogue of the two-dimensional Henneberg construction for growing or deconstructing minimally rigid graphs although there are conjectures. Third, global rigidity can easily be characterized for two-dimensional graphs, but not for three-dimensional graphs.

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Proceedings ArticleDOI

Convergence analysis for rigid formation control with unrealizable shapes: The 3 agent case

TL;DR: The outcome of using a gradient descent control law for a minimally rigid formation consisting of N agents, in which each agent is modeled by a single integrator and the desired interagent distances are specified though they are not realizable, is studied.
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Bearing-Only Control of Leader First Follower Formations

TL;DR: In this article, a bearing-only control law is proposed to stabilize leader-first follower formations consisting of single-integrator modeled agents, and the N-agents formation is proved to be almost globally asymptotically stable and locally exponentially stable.
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Translational velocity consensus using distance-only measurements

TL;DR: This paper proposes a strategy to achieve translational velocity consensus in a multi-agent formation using distance-only measurements, and postulates that agents engage in a combination of circular motion and linear motion.
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Controlling a triangular flexible formation of autonomous agents.

TL;DR: An algorithm is presented that combines the advantages of both position-and distance-based gradient descent control laws and a novel technique based on adding artificial biases to neighboring agents’ range sensors such that their eventual positions correspond to a collinear configuration.
Proceedings ArticleDOI

Distributed LQR design for multi-agent formations

TL;DR: This paper studies the optimal formation control of multiple agents whose communication topology as well as the interaction parameters is tunable upon a cost function consisting of both control energy and formation indicator.
References
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Coordination of groups of mobile autonomous agents using nearest neighbor rules

TL;DR: A theoretical explanation for the observed behavior of the Vicsek model, which proves to be a graphic example of a switched linear system which is stable, but for which there does not exist a common quadratic Lyapunov function.
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Flocking for multi-agent dynamic systems: algorithms and theory

TL;DR: A theoretical framework for design and analysis of distributed flocking algorithms, and shows that migration of flocks can be performed using a peer-to-peer network of agents, i.e., "flocks need no leaders."
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Modeling and control of formations of nonholonomic mobile robots

TL;DR: This paper addresses the control of a team of nonholonomic mobile robots navigating in a terrain with obstacles while maintaining a desired formation and changing formations when required, using graph theory.
Journal ArticleDOI

On graphs and rigidity of plane skeletal structures

TL;DR: In this paper, the combinatorial properties of rigid plane skeletal structures are investigated, and the properties are found to be adequately described by a class of graph-structured graphs.
Journal ArticleDOI

A vision-based formation control framework

TL;DR: In this article, the authors describe a framework for cooperative control of a group of nonholonomic mobile robots that allows them to build complex systems from simple controllers and estimators, and guarantee stability and convergence in a wide range of tasks.
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