Distributed Consensus With Limited Communication Data Rate

By Tao Li, M. Fu, Lihua Xie, Ji-feng Zhang. 2011

536 citations recorded by the source corpus.

Subfields: Computer Networks and Communications

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. Frank L. Lewis
2. Z. Duan
3. Zhongkui Li
4. Wei Ren
5. Guanrong Chen
6. Guanghui Wen
7. Housheng Su
8. Wenwu Yu

Citations in the corpus

• Decentralized Stochastic Optimization and Gossip Algorithms with Compressed Communication (2019, methodology): “In order to converge, adaptive schemes (with varying compression accuracy) have been proposed (Carli et al., 2010a; Fang & Li, 2010; Li et al., 2011; Thanou et al., 2013).”
• The blockchain: a new framework for robotic swarm systems (2016, background): “Finally, limitations and possible future problems that arise from the combination of these two technologies are described.”
• Distributed consensus of linear multi-agent systems with adaptive dynamic protocols (2011, unknown): “Consensus algorithms are designed in [7, 13] for a group of agents with quantized communication links and limited data rate.”
• Distributed averaging on digital erasure networks (2011, background): “In fact, some recent work has addressed the cases of quantized communication [2, 8, 13, 3, 15], or transmission affected by additive noise [11, 17, 12].”
• Distributed robust consensus control of multi-agent systems with heterogeneous matching uncertainties (2013, background): “Consensus algorithms are designed in [8,17] for multi-agent systems with quantized communication links.”
• Network Topology and Communication Data Rate for Consensusability of Discrete-Time Multi-Agent Systems (2011, background): “By Lemmas A.1–A.2 [18], an upper bound of the eigenratio is immediately obtained, i.e. 2) For the average consensus problem in [33], the state of each agent is scalar and .”
• Design and analysis of distributed averaging with quantized communication (2014, background): “In [21] the distributed averaging problem with quantized communication is formulated as a feedback control design problem for coding/decoding schemes; the paper shows that with an appropriate scaling function and some carefully chosen control gain, the proposed protocol can solve the distributed ave”
• Consensus of Multi-Agent Systems With General Linear and Lipschitz Nonlinear Dynamics Using Distributed Adaptive Protocols (2011, background): “Consensus algorithms are designed in [8], [9] for a group of agents with quantized communication links and limited data rate.”
• Discontinuities and hysteresis in quantized average consensus (2010, unknown): “A number of publications have discussed –mostly in discretetime systems– several options to deal with the quantization constraint, namely uniform deterministic quantizers [13,18], uniform randomized quantizers [2], logarithmic quantizers [5], and adaptive quantizers [17].”
• Designing Fully Distributed Consensus Protocols for Linear Multi-Agent Systems With Directed Graphs (2013, background): “h as spacecraft formation flying, sensor networks, and cooperat ive surveillance [1], the consensus control problem has been addressed by many researchers from various perspectives; see [1], [2], [3], [4], [5] and the references therein. Existing consensus algorithms can be roughly categorized into t”
• Distributed Average Consensus With Quantization Refinement (2013, methodology): “We propose a recurrence relation for computing the quantization parameters that depend on the network topology and the communication rate.”
• 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].”
• Finite Rate Quantized Distributed optimization with Geometric Convergence (2018, background): “While distributed average consensus problems using quantized communications have been extensively studied in the literature–examples are [10]–[12]–distributed optimization algorithms along with their rate guarantees in the presence of quantized communications are less understood.”