JOURNAL ARTICLE

Totally distributed motion control of sphere world multi-agent systems using decentralized navigation functions

Abstract

A distributed feedback control architecture that guarantees collision avoidance and destination convergence for multiple sphere world holonomic agents is presented. The well established tool of Decentralized Navigation Functions is redefined to cope with the communication restrictions of the system. Each agent plans its actions without knowing the destinations of the others and the positions of those agents lying outside its sensing neighborhood. The stability properties of the closed loop system are checked via Lyapunov stability techniques for hybrid systems. The collision avoidance and goal convergence properties are verified through simulations. The key advantage of the proposed algorithm with respect to the previous ones is the significant decrease of computational load and its applicability to large scale groups. © 2006 IEEE.

Keywords:
Collision avoidance Convergence (economics) Computer science Lyapunov function Key (lock) Holonomic Control theory (sociology) Decentralised system Stability (learning theory) Lyapunov stability Multi-agent system Distributed computing Motion control Collision Control (management) Robot Artificial intelligence

Metrics

29
Cited By
4.20
FWCI (Field Weighted Citation Impact)
24
Refs
0.92
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Distributed Control Multi-Agent Systems
Physical Sciences →  Computer Science →  Computer Networks and Communications
Robotic Path Planning Algorithms
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Control and Dynamics of Mobile Robots
Physical Sciences →  Engineering →  Control and Systems Engineering
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