Abstract
Nowadays, significant changes have taken place in the field of information technology and industry and robot research is also deepening. The realization of multi-robot flocking control problem has far-reaching significance. This paper mainly introduces the development status of flocking control at home and abroad and summarizes several commonly used distributed flocking control strategies. In this paper, on the basis of summarizing the development of flocking research at home and abroad, forecasts its development prospect in the field of aviation and so on.
Supported by National Nature Science Foundation under Grant 61203335, and partly by National Natural Science Foundation of China (Nos. 61603150).
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Bhowmick, C., Behera, L., Shukla, A., Karki, H.: Flocking control of multi-agent system with leader-follower architecture using consensus based estimated flocking center. In: Conference of the IEEE Industrial Electronics Society (2016)
Bian, W., Zhou, J., Qian, H., Lu, X.: Further properties of second-order multi-agent flocking under olfati-saber’s algorithms. In: Control Conference (2016)
Cheng, J., Wang, B., Xu, Y.: Flocking control of amigobots with newton’s method. In: 2017 IEEE International Conference on Robotics and Biomimetics (ROBIO), pp. 2372–2376, December 2017. https://doi.org/10.1109/ROBIO.2017.8324774
Fan, M.C., Zhang, H.T.: Bipartite flock control of multi-agent systems. In: Control Conference (2013)
Gurtovenko, A.A., Patra, M.M., Vattulainen, I.: Cationic DMPC/DMTAP lipid bilayers: molecular dynamics study. Biophys. J. 86(6), 3461–3472 (2004)
Hu, Y., Zhan, J., Yuan, Q., Li, X.: A multi-agent flocking system with communication delays via distributed model predictive control. In: 2017 36th Chinese Control Conference (CCC), pp. 8449–8454, July 2017. https://doi.org/10.23919/ChiCC.2017.8028696
Hu, Y., Zhan, J., Li, X.: Self-triggered distributed model predictive control for flocking of multi-agent systems. IET Control Theory Appl. 12(18), 2441–2448 (2018)
Jia, Y., Long, W.: Leader-follower flocking of multiple robotic fish. IEEE/ASME Trans. Mechatron. 20(3), 1372–1383 (2015)
Jian, D., Haibo, J., Kun, L., Kaihong, Y., Wang, Y.: Flocking control of flying robots considering model’s dynamics processes. In: 2017 36th Chinese Control Conference (CCC), pp. 817–821, July 2017. https://doi.org/10.23919/ChiCC.2017.8027445
Jin, C., Yong, Z., Hui, Q.: A tracking control method for flocking of amigobots. In: Control Conference (2015)
Joelianto, E., Sagala, A.: Swarm tracking control for flocking of a multi-agent system. In: Control, Systems & Industrial Informatics (2012)
Kvarchelia, L., Gaina, A.: Questions to sergej kovalev. Questions to Sergej Kovalev (2008)
Lu, X., Jin, Z., Zhou, J., Qin, B., Qian, H.: Flocking control of multi-agents based on self-adaptively weighting observers driven only by local position measurements. In: Control & Decision Conference (2017)
Mao, Y., Dou, L., Fang, H., et al.: Distributed flocking of Lagrangian systems with global connectivity maintenance. In: 2013 IEEE 3rd Annual International Conference on Cyber Technology in Automation, Control and Intelligent Systems (CYBER). IEEE (2013)
Mei, Y., Chen, S.: Flocking algorithm for directed multi-agent networks via pinning control. In: Chinese Automation Congress (2016)
Prasad, B.K.S., Manjunath, A.G., Ramasangu, H.: Flocking trajectory control under faulty leader: Energy-level based election of leader. In: IEEE International Conference on Power Electronics (2017)
Reyes, L.A.V., Tanner, H.G.: Flocking, formation control, and path following for a group of mobile robots. IEEE Trans. Control Syst. Technol. 23(4), 1268–1282 (2015)
Wu, W., Liu, B., Zhang, H.T.: Model predictive flocking control for the cucker-smale multi-agent model. In: International Conference on Control (2017)
Yazdani, S., Haeri, M., Su, H.: Sampled-data leader-follower algorithm for flocking of multi-agent systems. IET Control Theory Appl. 13(5), 609–619 (2019). https://doi.org/10.1049/iet-cta.2018.5533
Yu, P., Ding, L., Liu, Z.W., Guan, Z.H., Hu, M.X.: Flocking with a virtual leader based on distributed event-triggered hybrid control. In: Control Conference (2013)
Zhan, J., Li, X.: Decentralized flocking protocol of multi-agent systems with predictive mechanisms. In: Proceedings of the 30th Chinese Control Conference, pp. 5995–6000, July 2011
Zhan, J., Li, X.: Flocking of multi-agent systems via model predictive control based on position-only measurements. IEEE Trans. Ind. Inform. 9(1), 377–385 (2013)
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© 2020 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Ge, K., Cheng, J. (2020). Review on Flocking Control. In: Zhang, YD., Wang, SH., Liu, S. (eds) Multimedia Technology and Enhanced Learning. ICMTEL 2020. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 327. Springer, Cham. https://doi.org/10.1007/978-3-030-51103-6_27
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DOI: https://doi.org/10.1007/978-3-030-51103-6_27
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