Research on Synergy Pursuit Strategy of Multiple Underwater Robots-Reference-Cited by-同舟云学术

Research on Synergy Pursuit Strategy of Multiple Underwater Robots

Published:2019-04-24 Issue:3-4 Volume:97 Page:673-694
ISSN:0921-0296
Container-title:Journal of Intelligent & Robotic Systems
language:en
Short-container-title:J Intell Robot Syst

Author:

Jia Qingyong,Xu Hongli,Li Guannan,Gu Haitao,Feng Xisheng

Funder

Science and technology innovation fund of Chinese academy of sciences

Joint fund for equipment pre-research

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/s10846-019-01019-9.pdf

Reference19 articles.

1. Yan, J., Guan, X.-P., Luo, X.-Y.: Multi-target pursuit formation of multi-agent systems. Chinese Physics B. (2011). https://doi.org/10.1088/1674-1056/20/1/018901

2. Stiffle, N.M., O’Kane, J.M.: A sampling-based algorithm for multi-robot visibility-based pursuit-evasion. International Conference on Intelligent Robots and Systems. (2014). https://doi.org/10.1109/IROS.2014.6942796

3. Desouky, S.F., Schwartz, H.M.: Q (λ)-learning adap-tive fuzzy logic controllers for pursuit-evasion differential games. Int. J. Adapt. Control Signal Process. 25(10), 910–927 (2011)

4. Festa, A., Vinter, R.B.: A decomposition technique for pur-suit evasion games with many pursuers. In: Decision and Control (CDC), IEEE 52nd Annual Conference on, (2013). https://doi.org/10.1109/CDC.2013.6760803

5. Kumar, A., Ojha, A.: An evader-centric strategy against fast pursuer in an unknown environment with static obstacles. In: Control, Automation, Robotics and Embedded Sys-tems (CARE), International Conference on, IEEE (2013). https://doi.org/10.1109/CARE.2013.6733717

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