Decentralised consensus-based formation tracking of multiple differential drive robots-Reference-Cited by-同舟云学术

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Decentralised consensus-based formation tracking of multiple differential drive robots

Published:2016-11-01 Issue:11 Volume:90 Page:2461-2470
ISSN:0020-7179
Container-title:International Journal of Control
language:en
Short-container-title:International Journal of Control

Author:

Chu Xing¹,Peng Zhaoxia²³,Wen Guoguang⁴,Rahmani Ahmed¹

Affiliation:

1. CRIStAL, UMR CNRS 9189, Ecole Centrale de Lille , Villeneuve d’Ascq, France

2. School of Transportation Science and Engineering, Beihang University , Beijing, P.R. China

3. Beijing Engineering Center for Clean Energy & High Efficient Power, Beihang University , Beijing, P.R. China

4. Department of Mathematics, Beijing Jiaotong University , Beijing, P.R. China

Funder

Fundamental Research Funds for the Central Universities

National Natural Science Foundation of China

Publisher

Informa UK Limited

Subject

Computer Science Applications,Control and Systems Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/00207179.2016.1250164

Reference38 articles.

1. Behavior-based formation control for multirobot teams

2. Distributed control of multi-robot systems using bifurcating potential fields

3. Finite-Time Stability of Continuous Autonomous Systems

4. A robust layered control system for a mobile robot

5. A behaviour-based control architecture for heterogeneous modular, multi-configurable, chained micro-robots

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2. Time-Varying Formation Tracking Control for Unmanned Aerial Vehicles with the Leader’s Unknown Input and Obstacle Avoidance: Theories and Applications;Electronics;2022-07-27

3. Fixed-time stability of dynamical systems with impulsive effects;Journal of the Franklin Institute;2022-05

4. Fixed-time formation tracking for multiple nonholonomic wheeled mobile robots based on distributed observer;Nonlinear Dynamics;2021-10-11

5. Bio-inspired adaptive formation tracking control for swarm systems with application to UAV swarm systems;Neurocomputing;2021-09

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