Rendezvous of multiple mobile agents with preserved network connectivity

By Housheng Su, Xiaofan Wang, Guanrong Chen. 2010

283 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. Guanrong Chen
2. Wenwu Yu
3. Wei Ren
4. Z. Duan
5. Guanghui Wen
6. Zhongkui Li
7. Yongcan Cao
8. Housheng Su

In Public Health, Environmental and Occupational Health

1. Wei Ren
2. Zhongkui Li
3. James Lam
4. Yuebing Hu
5. Housheng Su
6. Guanrong Chen
7. Z. Duan
8. Guanghui Wen

Citations in the corpus

• An Overview of Recent Progress in the Study of Distributed Multi-Agent Coordination (2012, background): “The main approach to maintaining the connectivity of a team o f agents is to define some artificial potentials (between any pair of agents) in a proper way such t hat if two agents are neighbors initially then they will always communicate with each other thereafte r [206], [219]–[228].”
• 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].”
• Semi-Global Leader-Following Consensus of Linear Multi-Agent Systems With Input Saturation via Low Gain Feedback (2013, background): “Other topics that are highly relevant to consensus are synchronization [4]–[14], swarming [15], [16], flocking [17]–[20] and rendezvous [21].”
• Output-Feedback Cooperative Formation Maneuvering of Autonomous Surface Vehicles With Connectivity Preservation and Collision Avoidance (2020, background): “In addition to collision avoidance, connectivity is desired to be connected during the coordination of multivehicle systems [34]–[38].”
• Fixed-time stabilization and consensus of nonholonomic systems (2016, unknown): “flocking [12], rendezvous [13], distributed estimation [14], formation control [15, 16], containment control [17], etc.”
• Robust semi‐global coordinated tracking of linear multi‐agent systems with input saturation (2015, background): “In previous studies, the coordinated tracking problem was first discussed for singleintegrator kinematics [14], [15], [16], and then generalized to double-integrator dynamics [17], [18], [19], [20], [21], [22] and general linear or nonlinear dynamics [23], [24], [25], [26], [27], [28], [29], [30].”
• Flocking of multi‐agent dynamical systems with intermittent nonlinear velocity measurements (2012, methodology): “By employing an unbounded artificial potential function with an adding links mechanism [26, 41, 44, 45], the flocking algorithms (7) and (24) not only can steer the multi-agent system to a stable motion but also can preserve the connectivity of the underlying communication network during the…”