Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Optimal step-size of a local voting protocol for differentiated consensuses achievement in a stochastic network with cost constraints. / Ivanskiy, Yury; Amelina, Natalia; Granichin, Oleg; Granichina, Olga; Jiang, Yuming.
2015 IEEE Conference on Control and Applications, CCA 2015 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2015. p. 1367-1372 7320802 (2015 IEEE Conference on Control and Applications, CCA 2015 - Proceedings).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
}
TY - GEN
T1 - Optimal step-size of a local voting protocol for differentiated consensuses achievement in a stochastic network with cost constraints
AU - Ivanskiy, Yury
AU - Amelina, Natalia
AU - Granichin, Oleg
AU - Granichina, Olga
AU - Jiang, Yuming
N1 - Publisher Copyright: © 2015 IEEE. Copyright: Copyright 2016 Elsevier B.V., All rights reserved.
PY - 2015/11/4
Y1 - 2015/11/4
N2 - This paper deals with a 'differentiated consensuses' problem in a distributed stochastic network system with priorities and cost constraints on system topology. The network is considered as a set of heterogeneous agents that process incoming tasks with different importance (priority) levels. The observations about neighbors' states are supposed to be obtained with random noise and delays and the topology could switch over time. Several consensus objectives are to be achieved. To maintain almost balanced load under cost constraints on network topology, i.e. approximate consensus for every priority class across the network, a new family of control protocols that use different step-size parameters for each task class is introduced. An instrument for choosing optimal step-sizes for the proposed control strategy is given. In addition, a numerical example that illustrates the proposed control strategy and the results of simulations are provided.
AB - This paper deals with a 'differentiated consensuses' problem in a distributed stochastic network system with priorities and cost constraints on system topology. The network is considered as a set of heterogeneous agents that process incoming tasks with different importance (priority) levels. The observations about neighbors' states are supposed to be obtained with random noise and delays and the topology could switch over time. Several consensus objectives are to be achieved. To maintain almost balanced load under cost constraints on network topology, i.e. approximate consensus for every priority class across the network, a new family of control protocols that use different step-size parameters for each task class is introduced. An instrument for choosing optimal step-sizes for the proposed control strategy is given. In addition, a numerical example that illustrates the proposed control strategy and the results of simulations are provided.
UR - http://www.scopus.com/inward/record.url?scp=84964345872&partnerID=8YFLogxK
U2 - 10.1109/CCA.2015.7320802
DO - 10.1109/CCA.2015.7320802
M3 - Conference contribution
T3 - 2015 IEEE Conference on Control and Applications, CCA 2015 - Proceedings
SP - 1367
EP - 1372
BT - 2015 IEEE Conference on Control and Applications, CCA 2015 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - IEEE Conference on Control and Applications, CCA 2015
Y2 - 21 September 2015 through 23 September 2015
ER -
ID: 3943479