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Average Consensus for Expressed and Private Opinions
IEEE Transactions on Automatic ControlzbMATH Open Web Interface contents unavailable due to conflicting licenses.
Jing Zhang 0076 +2 more
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Efficient Quantization in the Average Consensus Problem
2007In 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 mathematical problem can be seen as the simplest example of coordination task and in fact it can be used to model both the control of multiple autonomous vehicles which all have to be driven to the ...
CARLI, RUGGERO, ZAMPIERI, SANDRO
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Robust Dynamic Average Consensus Algorithms
IEEE Transactions on Automatic Control, 2019This technical note considers the dynamic average consensus problem, where a group of networked agents are required to estimate the average of their time-varying reference signals. Almost all existing solutions to this problem require a specific initialization of the estimator states, and such constraints render the algorithms vulnerable to network ...
Jemin George, Randy A. Freeman
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Trustworthy Distributed Average Consensus
2022 IEEE 61st Conference on Decision and Control (CDC), 2022Christoforos N. Hadjicostis +1 more
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Privacy-Preserving and Secure Average Consensus
2020Average consensus is the key to distributed networks, widely used in distributed sensor networks, smart grid energy management and automatic control. In the traditional average consensus algorithm, the explicit exchange of status values with its neighbors through real identity will lead to the leakage of node status information and privacy issues. This
Yalian Wu +3 more
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Discrete-time dynamic average consensus
Automatica, 2010zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Minghui Zhu, Sonia Martínez
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Distributed average consensus with bounded quantization
2016 IEEE 17th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), 2016This paper considers distributed average consensus using bounded quantizers with potentially unbounded input data. We develop a quantized consensus algorithm based on a distributed alternating direction methods of multipliers (ADMM) algorithm. It is shown that, within finite iterations, all the agent variables either converge to the same quantization ...
Shengyu Zhu 0001, Biao Chen 0001
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Convergence Rates in Distributed Consensus and Averaging
Proceedings of the 45th IEEE Conference on Decision and Control, 2006We propose three new algorithms for the distributed averaging and consensus problems: two for the fixed-graph case, and one for the dynamic-topology case. The convergence rates of our fixed-graph algorithms compare favorably with other known methods, while our algorithm for the dynamic-topology case is the first to be accompanied by a polynomial-time ...
Alex Olshevsky, John N. Tsitsiklis
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Distributed algorithms for the average bridge consensus
2017 IEEE Conference on Control Technology and Applications (CCTA), 2017By considering the existence of bridge sensor nodes that lose the capability of sensing, the average bridge consensus problem aims to achieve the average of selective observations only from sensing nodes while bridge nodes play the role of relaying information.
Shaoshuai Mou +2 more
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Exploiting memory in dynamic average consensus
2015 53rd Annual Allerton Conference on Communication, Control, and Computing (Allerton), 2015In the discrete-time average consensus problem, each agent in a network has a local input and communicates with neighboring agents to calculate the global average of all agent inputs. We analyze diffusion-like algorithms where each agent maintains an internal state which it updates at each time step using its local input together with information it ...
Bryan Van Scoy +2 more
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