Please use this identifier to cite or link to this item:
https://hdl.handle.net/10356/95616
Title: | Stochastic approximation approach for consensus and convergence rate analysis of multiagent systems | Authors: | Xu, Juanjuan Zhang, Huanshui Xie, Lihua |
Keywords: | DRNTU::Engineering::Electrical and electronic engineering | Issue Date: | 2012 | Source: | Xu, J., Zhang, H., & Xie, L. (2012). IEEE Transactions on Automatic Control, 57(12), 3163-3168. | Series/Report no.: | IEEE transactions on automatic control | Abstract: | In this note, we study the consensus problem for multiagent systems with measurement noises. Different from the existing approach, the consensus problem is converted to a root finding problem for which the stochastic approximation theory can be applied. By choosing an appropriate regression function, we propose a consensus algorithm which is applicable to systems with more general measurement noise processes, including stationary autoregressive and moving average (ARMA) processes and infinite moving average (MA) processes. Further, we establish a relationship between the convergence rate and the exponent of the step size of the algorithm. Particularly, strong convergence rate for systems with a leader-follower topology is studied. | URI: | https://hdl.handle.net/10356/95616 http://hdl.handle.net/10220/11203 |
ISSN: | 0018-9286 | DOI: | 10.1109/TAC.2012.2199175 | Schools: | School of Electrical and Electronic Engineering | Rights: | © 2012 IEEE. | Fulltext Permission: | none | Fulltext Availability: | No Fulltext |
Appears in Collections: | EEE Journal Articles |
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