Global target aggregation and state agreement of nonlinear multi-agent systems with switching topologies

By Guodong Shi, Yiguang Hong. 2009

239 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Public Health, Environmental and Occupational Health

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

1. Long Wang
2. Jiahu Qin
3. Zhihong Man
4. Yang Shi
5. Qichao Ma
6. S. Khoo
7. Lihua Xie
8. Roberto Tempo

In Public Health, Environmental and Occupational Health

1. Long Wang
2. Yang Shi
3. Qichao Ma
4. Gang Feng
5. Lihua Xie
6. Zhihong Man
7. Shengkui Zhao
8. Jiahu Qin

Citations in the corpus

• Global consensus for discrete-time multi-agent systems with input saturation constraints (2014, unknown): “…(e.g., Olfati-Saber and Murray, 2004; Ren and Beard, 2005; Xiao and Wang, 2008; Scardovi and Sepulchre, 2009; Seo, Shim, and Back, 2009; Shi and Hong, 2009; Li, Duan, Chen, and Huang, 2010; Li, Du, and Lin, 2011a; Yu, Chen, and Cao, 2010; Yang, Roy, Wan, and Saberi, 2011; Seyboth, Dimarogonas,…”
• Distributed tracking control of leader-follower multi-agent systems under noisy measurement (2011, background): “…(Jadbabaie , Lin , &Morse (2003); Ren , &Beard (2005)), the roles of multiple leaders in guiding the followers (Lin , Francis , &Maggiore (2005); Shi , &Hong (2009)), the time-delayed control de-sign (Hu , &Hong (2007); Lin , Jia , et al. (2008)), and the distributed estimation strategies (Fax…”
• Multi‐surface sliding control for fast finite‐time leader–follower consensus with high order SISO uncertain nonlinear agents (2014, background): “Recently, there has been significant research effort devoted to the problem of cooperative control design for multi-agent networks, due to its wide applications in various areas such as consensus, rendezvous, formation, and flocking [1, 2].”
• A tutorial on modeling and analysis of dynamic social networks. Part I (2017, background): “Furthermore, the polyhedron S can be replaced by an arbitrary closed convex set; the relevant problem is sometimes referred to as the target aggregation [131] and is closely related to distributed optimization [132].”
• Recent Advances in Consensus of Multi-Agent Systems: A Brief Survey (2017, background): “[84], consensus with delays [10], [59], [61], [78], [91], [100], [104], optimal consensus [32], [50], [79], sampled-data consensus [61], adaptive consensus [17], [119], quantized consensus”