Proceedings Article10.1109/CDC.2008.4738886
Quantized average consensus via dynamic coding/decoding schemes
Ruggero Carli,Francesco Bullo,Sandro Zampieri +2 more
- 01 Dec 2008
- pp 4916-4921
TL;DR: A consensus strategy in which the systems can exchange information among themselves according to a fixed connected digital communication network and two different encoding/decoding strategies are presented with theoretical and simulation results on their performance.
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Abstract: In the average consensus a set of linear systems has to be driven to the same final state which corresponds to the average of their initial states. This contribution presents a consensus strategy in which the systems can exchange information among themselves according to a fixed connected digital communication network. Beside the decentralized computational aspects induced by the choice of the communication network, we here have also to face the quantization effects due to the digital links. We here present and discuss two different encoding/decoding strategies with theoretical and simulation results on their performance.
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Citations
Weight balance for directed networks: Conditions and algorithms
Yuan Fan,Gang Feng,Yong Wang +2 more
- 01 Dec 2010
TL;DR: This work explores the conditions and algorithms for the digraph balancing problem, and points out the relationship between the weight balance problem and the features of the corresponding underlying Markov chain.
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Counting and Rendezvous: Two Applications of Distributed Consensus in Robotics
Carlos H. Caicedo-Nunez,Miloš Žefran +1 more
- 01 Dec 2011
TL;DR: A formal analysis of the proposed algorithms is presented and they are proved to prove their convergence properties by relying on the theory of consensus protocols.
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An Overview on Quantized Consensus and Consensus with Limited Data Rate of Multi-agent Systems
Tao Li,Yang Meng,Ji-Feng Zhang +2 more
TL;DR: An overview on the state-of-the-art of the quantized consensus and consensus with limited data rate of multi-agent systems, which is a hot topic of the systems and control community in recent years is presented.
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Averaging based distributed estimation algorithm for rate-constrained sensor networks with additive quantization model
Shanying Zhu,Shuai Liu,Jinming Xu,Yeng Chai Soh,Lihua Xie +4 more
- 01 Dec 2015
TL;DR: It is shown that the proposed algorithm achieves the performance of the optimal centralized sample mean estimator even if the quantization error variances are not vanishing, and an explicit bound of the rate of convergence is given to quantify its almost sure performance.
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State quantized feedback control of continuous-time multi-agent system
Fang Wang,Bing Chen,Yumei Sun,Honghong Wang +3 more
- 01 Aug 2016
TL;DR: The protocol design takes fully into account the state quantization feedback of the neighbor agents in transmission over a limited-communication channel and a hybrid quantized control scheme is developed.
2
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TL;DR: A theoretical framework for analysis of consensus algorithms for multi-agent networked systems with an emphasis on the role of directed information flow, robustness to changes in network topology due to link/node failures, time-delays, and performance guarantees is provided.