Stability and Convergence Properties of Dynamic Average Consensus Estimators

By Randy A. Freeman, Penghui Yang, Kevin M. Lynch. Proceedings of the 45th IEEE Conference on Decision and Control, 2006

465 citations recorded by the source corpus.

Subfields: Computer Networks and Communications

View Paper: https://www.semanticscholar.org/paper/371d401244db8825b994a55b5887ecd300b92b1a

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. Wei Ren
2. Jorge Cortés
3. Guanrong Chen
4. Yongcan Cao
5. Francesco Bullo
6. Z. Duan
7. Ali H. Sayed
8. Ziyang Meng

Citations in the corpus

• Consensus Tracking Under Directed Interaction Topologies: Algorithms and Experiments (2008, background): “6: It is worthwhile to mention that a proportional algorithm and a proportional-integral algorithm are proposed in [15] for dynamic average consensus.”
• Optimal Synchronization for Networks of Noisy Double Integrators (2011, methodology): “Work in the context of signal tracking with consensus algorithms have been proposed, among others, by Spanos et al. [12], Freeman et al. [ 3 ] and Zhu et al. [16].”
• A survey of distributed optimization (2019, background): “Such an initialization requirement was later removed in Cherukuri and Cortés (2016) , where the authors developed a distributed algorithm based on the Laplacian nonsmooth gradient dynamics and dynamic average consensus ( Freeman, Yang, & Lynch, 2006; Kia, Cortés, & Martínez, 2015b ).”
• Event-triggered communication and control of networked systems for multi-agent consensus (2017, background): “integrators) (Ren, 2008)) Given a connected, undirected graph Gcomm and the dynamics (54), if all agents”
• Multi-Agent Coordination by Decentralized Estimation and Control (2008, methodology): “Dynamic consensus estimators with improved noise rejection and steadystate performance in the face of the addition and deletion of agents were introduced in [13].”
• Discrete-time dynamic average consensus (2010, background): “Key words: Consensus algorithms, multi-agent systems, cooperative control”
• Real-Time Pricing by Data Fusion on Networks (2018, background): “For example, it is known that there are dynamic consensus protocols that are robust against communication loss/delay [19], [20].”
• Supervised Learning Under Distributed Features (2018, methodology): “It can be shown that if the signals change slowly, the x i,k will track the mean ¯ d i = 1 K =1 d i,k well [38], [39].”
• Coverage Optimization and Spatial Load Balancing by Robotic Sensor Networks (2010, background): “, [26], to track its evolution during the execution of .”
• Distributed average computation for multiple time‐varying signals with output measurements (2016, background): “previous works is that the dynamics of the multiple reference signals are linear such as constant reference signals [16] or reference signals with steady states [15].”
• Stabilization of Planar Collective Motion With Limited Communication (2008, background): “Such limitations could possibly be alleviated by exploiting the recent work [31] on consensus algorithms.”
• Robust consensus tracking of a class of second-order multi-agent dynamic systems (2010, unknown): “, see [3]–[5], [21]) and discrete-time systems (e.”
• Distributed Nash Equilibrium Seeking by a Consensus Based Approach (2016, background): “XN k=1 aik(ηij −ηkj) +a ijxjj η˙ ij= XN k=1 aik(y −ykj) z˙ij = −zij − XN k=1 aik(zij −z kj) − XN k=1 aik(γij −γ )+aij γ˙ ij= XN k=1 aik(z −zkj), (3) based on the dynamic average consensus protocol in [28], [29]. In (3), aik denotes the element on ith row and kth column of the adjacency matrix and ηi”