Mixed Fuzzy Sliding-Mode Tracking with Backstepping Formation Control for Multi-Nonholonomic Mobile Robots Subject to Uncertainties-Reference-Cited by-同舟云学术

Mixed Fuzzy Sliding-Mode Tracking with Backstepping Formation Control for Multi-Nonholonomic Mobile Robots Subject to Uncertainties

Published:2014-10-05 Issue:1 Volume:79 Page:73-86
ISSN:0921-0296
Container-title:Journal of Intelligent & Robotic Systems
language:en
Short-container-title:J Intell Robot Syst

Author:

Wu Hsiu-Ming,Karkoub Mansour,Hwang Chih-Lyang

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Artificial Intelligence,Industrial and Manufacturing Engineering,Mechanical Engineering,Control and Systems Engineering,Software

Link

http://link.springer.com/content/pdf/10.1007/s10846-014-0131-9.pdf

Reference21 articles.

1. Kwon, J.-W., Chwa, D.: Hierarchical formation control based on a vector field method for wheeled mobile robots. IEEE Trans. Robot 28(6), 1335–1345 (2012)

2. Hernandez-Martinez, E.G., Aranda-Bricaire, E.: Multi-agent formation control with collision avoidance based on discontinuous vector fields. In: Proceedings of the IEEE International Conference Industrial Electronics, pp 2283–2288 (2009)

3. Hsu, H.C.-H., Liu, A.: Multiagent-based multi-team formation control for mobile robots. J. of Intelligent Robotic Systems 42(4), 337–360 (2005)

4. Balch, T., Arkin, R.C.: Behavior-based formation control for multirobot teams. IEEE Trans. Robot. Autom. 14(6), 926–939 (1998)

5. Rezaee, H., Abdollahi, F.: A decentralized cooperative control scheme with obstacle avoidance for a team of mobile robots. IEEE Trans. Ind. Electron. 61(1), 347–354 (2014)

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