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SCIENTIA SINICA Informationis
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SCIENTIA SINICA Informationis, Volume 50 , Issue 3 : 347-362(2020) https://doi.org/10.1360/SSI-2019-0180

Adaptive structure modeling and prediction for swarm unmanned system

Tingting ZHANG 1,2,3,*, Aiguo SONG 2,*, Yushi LAN 3
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  • ReceivedAug 25, 2019
  • AcceptedSep 13, 2019
  • PublishedFeb 25, 2020
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Abstract


Funded by

国家自然科学基金(61802428,61906086)

中国博士后科学基金(2019M651991)

军委科技委国防科技项目基金(3602026)

陆军装备科研项目(KYZYJWJK1702)


References

[1] Scharre P. Army of None: Autonomous Weapons and the Future of War. Lansing: WW Norton & Company, 2018. Google Scholar

[2] Cyber Vision 2025. United States Air Force Cyberspace Science and Technology Vision 2012-2025. SAF/PA Public Release Case No. 2012-0439/460/715. Google Scholar

[3] Li C, Feng B Q, Li Y M, et al. Role - based structure evolution and prediction in dynamic information networks. J Softw, 2017, 28: 663--675. Google Scholar

[4] Albert R, Barabási A L. Statistical mechanics of complex networks. Rev Mod Phys, 2002, 74: 47-97 CrossRef Google Scholar

[5] Wang X F, Li X, Chen G R. Complex Network Theory and Its Application. Beijing: Tsinghua University Press, 2006. Google Scholar

[6] Silva T C. Machine Learning Method Based on Complex Network. Beijing: Machinery Industry Press, 2018. Google Scholar

[7] Barabási A L, Albert R, Jeong H. Scale-free characteristics of random networks: the topology of the world-wide web. Physica A-Statistical Mech its Appl, 2000, 281: 69-77 CrossRef Google Scholar

[8] Nowak M A. Five rules for the evolution of cooperation.. Science, 2006, 314: 1560-1563 CrossRef PubMed Google Scholar

[9] Dorogovtsev S N, Mendes J F F, Samukhin A N. Structure of growing networks with preferential linking.. Phys Rev Lett, 2000, 85: 4633-4636 CrossRef PubMed Google Scholar

[10] Newman M E J, Moore C, Watts D J. Mean-field solution of the small-world network model.. Phys Rev Lett, 2000, 84: 3201-3204 CrossRef PubMed Google Scholar

[11] Newman M E J. The Structure and Function of Complex Networks. SIAM Rev, 2003, 45: 167-256 CrossRef Google Scholar

[12] Newman M E J, Watts D J. Renormalization group analysis of the small-world network model. Phys Lett A, 1999, 263: 341-346 CrossRef Google Scholar

[13] Barabási A L, Albert R, Jeong H. Mean-field theory for scale-free random networks. Physica A-Statistical Mech its Appl, 1999, 272: 173-187 CrossRef Google Scholar

[14] Brust M R, Strimbu B M. A networked swarm model for UAV deployment in the assessment of forest environments. In: Proceedings of 2015 IEEE 10th International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP), Singapore, 2011. Google Scholar

[15] Wang L Z, Lu D W, Zhang Y. A Complex Network Theory-Based Modeling Framework for Unmanned Aerial Vehicle Swarms.. Sensors, 2018, 18: 3434 CrossRef PubMed Google Scholar

[16] Yan X, Chen J, Sun D. Multilevel based topology design and formation control of robot swarms. In: Proceedings of the 2011 IEEE International Conference on Robotics and Biomimetics, Phuket, 2011. Google Scholar

[17] Feng B Q, Hu S L, Guo D, et al. Dynamic information network structure evolution analysis based on role discovery. J Softw, 2019, 30: 537--551. Google Scholar

[18] Gong C, Tao D C, Liu W. Label Propagation via Teaching-to-Learn and Learning-to-Teach.. IEEE Trans Neural Netw Learning Syst, 2017, 28: 1452-1465 CrossRef PubMed Google Scholar

[19] Gong C, Tao D C, Chang X J. Ensemble Teaching for Hybrid Label Propagation.. IEEE Trans Cybern, 2019, 49: 388-402 CrossRef PubMed Google Scholar

[20] Frasconi P, Gori M, Sperduti A. A general framework for adaptive processing of data structures.. IEEE Trans Neural Netw, 1998, 9: 768-786 CrossRef PubMed Google Scholar

[21] Brin S, Page L. The anatomy of a large-scale hypertextual Web search engine. In: Proceedings of the 7th World Wide Web Conference, 1998. Google Scholar

[22] Sperduti A, Starita A. Supervised neural networks for the classification of structures.. IEEE Trans Neural Netw, 1997, 8: 714-735 CrossRef PubMed Google Scholar

[23] Hagenbuchner M, Sperduti A, Ah Chung Tsoi A. A self-organizing map for adaptive processing of structured data.. IEEE Trans Neural Netw, 2003, 14: 491-505 CrossRef PubMed Google Scholar

[24] Kleinberg J M. Authoritative sources in a hyperlinked environment. J ACM, 1999, 46: 604-632 CrossRef Google Scholar

[25] Tsoi A C, Morini G, Scarselli F, et al. Adaptive ranking of web pages. In: Proceedings of the 12th WWW Conference, Budapest, 2003. Google Scholar

[26] Scarselli F, Gori M, Ah Chung Tsoi M. The graph neural network model.. IEEE Trans Neural Netw, 2009, 20: 61-80 CrossRef PubMed Google Scholar

[27] Duan H B, Zhang D F, Fan Y M, et al. From Wolf pack intelligence to drone swarm collaborative decision-making. Sci China Inform, 2019, 49: 112--118. Google Scholar

[28] Cassidy K A, MacNulty D R, Stahler D R. Group composition effects on aggressive interpack interactions of gray wolves in Yellowstone National Park. BEHECO, 2015, 26: 1352-1360 CrossRef Google Scholar

[29] Kipf T N, Welling M. Semi-supervised classi?cation with graph convolutional networks. In: Proceedings of the International Conference on Learning Representations, 2017. Google Scholar

[30] Zhang T T. Research on the Capability Evolution of Network Information System. Beijing: Science Press. 2018. Google Scholar

[31] Zhang G Q, Ling Y Q. Functional analysis handout. Beijing: Peking University Press, 2013. Google Scholar

[32] Gong C, Tao D C, Maybank S J. Multi-Modal Curriculum Learning for Semi-Supervised Image Classification.. IEEE Trans Image Process, 2016, 25: 3249-3260 CrossRef PubMed Google Scholar