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Nonlinear average consensus based on weight morphing
2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2012We present a novel weight design for average consensus that improves its transient and stead-state performance. The idea is to blend Metropolis-Hastings weights and convex-optimization weights via signal-adaptive morphing coefficients. The resulting scheme is shown to be particularly useful in dynamic scenarios where the measurements feature abrupt ...
Valentin Schwarz, Gerald Matz
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An approach for weighted average consensus in event detection
2017 25th Mediterranean Conference on Control and Automation (MED), 2017Large scale monitoring systems require reliable and efficient in-network information extraction mechanisms able to effectively track events at the field level. The study of consensus algorithms for distributed data processing has gained a lot of interest in the last decade.
Cristian Dragana +3 more
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Mean-square optimal weight design for average consensus
2012 IEEE 13th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), 2012In this work we investigate the best possible convergence of average consensus in the mean-square sense with weights that change over time. Although this convergence may be hard to achieve in practice, it provides useful practical insights into the behavior of average consensus.
Valentin Schwarz, Gerald Matz
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Dynamic consensus estimation of weighted average on directed graphs
International Journal of Systems Science, 2013Recent applications call for distributed weighted average estimation over sensor networks, where sensor measurement accuracy or environmental conditions need to be taken into consideration in the final consensused group decision. In this paper, we propose new dynamic consensus filter design to distributed estimate weighted average of sensors’ inputs on
Shuai Li, Yi Guo 0004
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On the convergence of average consensus with generalized metropolis-hasting weights
2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2014Average consensus is a well-studied method for distributed averaging. The convergence properties of average consensus depend on the averaging weights. Examples for commonly used weight designs are Metropolis-Hastings (MH) weights and constant weights.
Valentin Schwarz +2 more
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Robust Weighted-Average Continuous-Time Consensus With Communication Time Delay
IEEE Transactions on Cybernetics, 2023Achieving consensus behavior robust to time delay in multiagent systems has attracted much attention. This work is concerned with optimizing the convergence rate of the consensus algorithm in such systems with time delays. Previous approaches optimize either the robustness to time delay or the convergence rate separately, while imposing a limit on the ...
Saber Jafarizadeh, Darryl Veitch
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Weighted Average Consensus-Based Optimization of Advection-Diffusion Systems
IEEE Transactions on Signal and Information Processing over Networks, 2021As a fundamental algorithm for collaborative processing over multi-agent systems, distributed consensus algorithm has been studied for optimizing its convergence rate. Due to the close analogy between the diffusion problem and the consensus algorithm, the previous trend in the literature is to transform the diffusion system from the spatially ...
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Dual Models and Return Allocations for Consensus Building Under Weighted Average Operators
IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2021Recent studies have examined minimum cost consensus models from the moderator’s perspective. However, current dual models aimed at deriving a maximum return have been limited to special cases. A further problem has been the return allocation to the individuals.
Zhibin Wu, Xieyu Yang, Jiuping Xu
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Rational consensual procedure: Argumentation or weighted averaging?
Synthese, 1986The following is a defense of Jurgen Habermas' argumentational consensual procedure against Keith Lehrer and Carl Wagner's weighted averaging consensual procedure (and, I tentatively claim, against any weighted averaging consensual procedure). The argument is twofold: if Lehrer and Wagner intend, implicity, to replace what is for Habermas the ...
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Distributed Quantized Weight-Balancing and Average Consensus Over Digraphs
2018 IEEE Conference on Decision and Control (CDC), 2018This paper studies distributed quantized weight-balancing and average consensus over fixed digraphs. A digraph with non-negative weights associated to its edges is weight-balanced if, for each node, the sum of the weights of its outgoing edges is equal to that of its incoming edges. We propose and analyze the first distributed algorithm that solves the
Chang-Shen Lee +2 more
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