Stable flocking of mobile agents, part I: fixed topology

By Herbert G. Tanner, Ali Jadbabaie, George Pappas. 42nd IEEE International Conference on Decision and Control (IEEE Cat. No.03CH37475), 2003

806 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Condensed Matter Physics, Control and Systems Engineering

View Paper: https://www.semanticscholar.org/paper/4d141edc1807a57710619a4ffe8b1b689efc3f2f

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In Computer Networks and Communications

1. Wei Ren
2. Guanrong Chen
3. Wenwu Yu
4. Housheng Su
5. Z. Duan
6. Francesco Bullo
7. Yongcan Cao
8. Zhongkui Li

In Condensed Matter Physics

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2. Housheng Su
3. Xiaofan Wang
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5. Guanrong Chen
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8. Wenwu Yu

In Control and Systems Engineering

1. Wei Ren
2. Guanrong Chen
3. Wenwu Yu
4. Housheng Su
5. Xiaofan Wang
6. Z. Duan
7. Zhongkui Li
8. Zongli Lin

Citations in the corpus

• Average consensus problems in networks of agents with delayed communications (2005, background): “ṽ(1, t) ≡ [2, 2], ṽ(2, t) ≡ [2, −2], ṽ(3, t) ≡ [1, 3]”
• Flocking of multi-agents with a virtual leader part I: with a minority of informed agents (2007, methodology): “Recently, flocking algorithms based on Reynolds flocking model were proposed by a combination of a velocity consensus component with a local artificial potential field [14], [15], [16].”
• Passivity as a Design Tool for Group Coordination (2007, background): “Examples Example 1(Formation Control): When applied to the problem of formation stabilization, Theorem 1 recovers the stability results of [1] and [2], and gives a passivity interpretation.”
• Decentralised minimal-time consensus (2011, background): “,8[1]} =  1.”
• Average consensus on networks with transmission noise or quantization (2007, background): “In recent years much research has been focused on the coordinated control and estimation [1], [2], [4], [5], [6], [8], [9].”
• On the controllability of nearest neighbor interconnections (2004, background): “Potential fields have been combined with synchronization control inputs to yield coordinated formation and decentralized flocking and swarming motion [6], [7], [8], [9].”
• Finite-time convergent gradient flows with applications to network consensus (2006, background): “Previous work on motion coordination of multi-agent systems has proposed cooperative algorithms based on gradient flows to achieve tasks such as cohesiveness [11, 14, 20], deployment [8, 9] and consensus [15, 16, 17], The distributed algorithms in these works achieve the desired coordination task ov”
• Synchronization of coupled harmonic oscillators in a dynamic proximity network (2009, methodology): “In the synchronization [10], second-order consensus ([11], [13]) and flocking ([14], [15], [16], [17]) algorithms, certain network connectivity assumptions play a crucial role in the stability analysis.”