TY - GEN
T1 - Global parameters estimation and convergence proof of isomorphic networks using historical data
AU - Lu, Zhenyu
AU - Huang, Panfeng
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2014/12/23
Y1 - 2014/12/23
N2 - In recent years, the wireless sensors networks raise a great attention in the world. In this paper we proposed a method - multi-innovation coupled stochastic gradient (MICSG) algorithm for the global parameters estimation of the distributed sensors. This algorithm utilizes the identified result of the previous adjacent node and the local historical data to modify own estimated parameters. Then we make a proof of parameters convergence of proposed algorithm. Two examples are presented in the simulation. The first example concerns the influence of different length of historical data to the convergence rate and error rate. The second one exhibits the method applying the structure healthy management. Simulation shows that increasing the length of multi-innovation vector can improve the convergence effect and accelerate the convergence rate in a certain range.
AB - In recent years, the wireless sensors networks raise a great attention in the world. In this paper we proposed a method - multi-innovation coupled stochastic gradient (MICSG) algorithm for the global parameters estimation of the distributed sensors. This algorithm utilizes the identified result of the previous adjacent node and the local historical data to modify own estimated parameters. Then we make a proof of parameters convergence of proposed algorithm. Two examples are presented in the simulation. The first example concerns the influence of different length of historical data to the convergence rate and error rate. The second one exhibits the method applying the structure healthy management. Simulation shows that increasing the length of multi-innovation vector can improve the convergence effect and accelerate the convergence rate in a certain range.
UR - http://www.scopus.com/inward/record.url?scp=84921275840&partnerID=8YFLogxK
U2 - 10.1109/MFI.2014.6997678
DO - 10.1109/MFI.2014.6997678
M3 - 会议稿件
AN - SCOPUS:84921275840
T3 - Proceedings of 2014 International Conference on Multisensor Fusion and Information Integration for Intelligent Systems, MFI 2014
BT - Proceedings of 2014 International Conference on Multisensor Fusion and Information Integration for Intelligent Systems, MFI 2014
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2014 International Conference on Multisensor Fusion and Information Integration for Intelligent Systems, MFI 2014
Y2 - 28 September 2014 through 30 September 2014
ER -