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Content Provider | IET Digital Library |
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Author | Mohammadiyan, Atiyeh Keshavarz Khaloozadeh, Hamid |
Abstract | The problem of consensus-based distributed state estimation of a non-linear dynamical system in the presence of multiplicative observation noise is investigated in this study. Generalised extended information filter (GEIF) is developed for non-linear state estimation in the information-space framework. To fuse the information contribution of local estimators, an average consensus algorithm is employed. To achieve faster convergence towards consensus, a novel technique is proposed to modify the consensus weights, adaptively. Computational complexity of the proposed estimator is also analysed theoretically to demonstrate the computational advantage of the adaptive consensus-based distributed GEIF over the centralised counterpart. Moreover, stability of local estimators in terms of mean-square boundedness of state estimation error is guaranteed, in the presence of multiplicative noise. Simulation results are provided to evaluate performance of the proposed adaptive distributed estimator for a target-tracking problem in a wireless sensor network. |
Starting Page | 986 |
Ending Page | 997 |
Page Count | 12 |
ISSN | 17519675 |
Volume Number | 11 |
e-ISSN | 17519683 |
Issue Number | Issue 8, Oct (2017) |
Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/iet-spr/11/8 |
Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/iet-spr.2017.0052 |
Journal | IET Signal Processing |
Publisher Date | 2017-07-14 |
Access Restriction | Open |
Rights Holder | © The Institution of Engineering and Technology |
Subject Keyword | Adaptive Consensus-based Distributed State Estimator Adaptive Control Adaptive Estimation Average Consensus Algorithm Computational Complexity Consensus Weights Filtering Theory GEIF Generalised Extended Information Filter Information-Space Framework Local Estimator Stability Modelling And Identification Multiplicative Observation Noise Nonlinear Control System Nonlinear Dynamical System Nonlinear State Estimation Self Adjusting Control System Signal Processing Theory Simulation Stability Stability in Control Theory State Estimation Statistics Target-tracking Problem Wireless Sensor Network |
Content Type | Text |
Resource Type | Article |
Subject | Signal Processing Electrical and Electronic Engineering |
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