A connectivity-preserving flocking algorithm for multi-agent systems based only on position measurements
By Housheng Su, Xiaofan Wang, Guanrong Chen. 2009
179 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Electrical and Electronic Engineering, Mechanical Engineering
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In Computer Networks and Communications
In Electrical and Electronic Engineering
In Mechanical Engineering
Citations in the corpus
- Adaptive consensus with a virtual leader of multiple agents governed by locally Lipschitz nonlinearity (2013, methodology): “We adopt the following network connectivity setting proposed in [12, 26, 27].”
- Consensus of high-order multi-agent systems with large input and communication delays (2014, unknown): “…in the past several decades (see Duan, Wang, Chen, & Huang, 2008, Hong, Chen, & Bushnell, 2006, Ishii & Tempo, 2010, Li & Jiang, 2009, Li & Xie, 2011, Lv et al., 2011, Qin, Gao, & Zheng, 2011, Ren & Cao, 2011, Su et al., 2009, Su, Wang, & Chen, 2010, You & Xie, 2011b and the references therein).”
- Consensus Tracking of Multi-Agent Systems With Lipschitz-Type Node Dynamics and Switching Topologies (2014, background): “In the context of multi-agent systems, the initial communication topology of the multiple agents always meets some connection conditions [39], [40].”
- Flocking of multi‐agent dynamical systems with intermittent nonlinear velocity measurements (2012, methodology): “Similarly to [19,25,26], it is assumed in protocol (24) that each agent can receive the control input (acceleration) of the virtual leader all the time.”