Abstract
We present a framework for coordinated and distributed control of multiple autonomous vehicles using artificial potentials and virtual leaders. Artificial potentials define interaction control forces between neighboring vehicles and are designed to enforce a desired inter-vehicle spacing. A virtual leader is a moving reference point that influences vehicles in its neighborhood by means of additional artificial potentials. Virtual leaders can be used to manipulate group geometry and direct the motion of the group. The approach provides a construction for a Lyapunov function to prove closed-loop stability using the system kinetic energy and the artificial potential energy. Dissipative control terms are included to achieve asymptotic stability. The framework allows for a homogeneous group with no ordering of vehicles; this adds robustness of the group to a single vehicle failure.
Keywords
Affiliated Institutions
Related Publications
Probabilistic Modelling of a Bio-Inspired Collective Experiment with Real Robots
Abstract. This paper describes the implementation and modelling of a biologically inspired collective behaviour. The experiments are concerned with the gathering and clustering ...
Swarms on Sphere: A Programmable Swarm with Synchronous Behaviors like Oscillator Networks
In this paper, we introduce a programmable particle swarm evolving on a sphere called swarm on sphere system. This model is a polynomial dynamical system obtained from a consens...
Transportation modeling: an artificial life approach
Artificial life (ALife) uses biological knowledge and techniques to help solve different engineering, management, control and computational problems. Natural systems teach us th...
Leader-to-Formation Stability
The paper investigates the stability properties of mobile agent formations which are based on leader following. We derive nonlinear gain estimates that capture how leader behavi...
Distributed structural stabilization and tracking for formations of dynamic multi-agents
We provide a theoretical framework that consists of graph theoretical and Lyapunov-based approaches to stability analysis and distributed control of multi-agent formations. This...
Publication Info
- Year
- 2003
- Type
- article
- Volume
- 3
- Pages
- 2968-2973
- Citations
- 1259
- Access
- Closed
External Links
Social Impact
Social media, news, blog, policy document mentions
Citation Metrics
Cite This
Identifiers
- DOI
- 10.1109/cdc.2001.980728