The DOI matches its Crossref record; 16 of the 16 references it cites were found in a registry or an index.
Event-Based Recursive Distributed Filtering Over Wireless Sensor Networks
Abstract
In this technical note, the distributed filtering problem is investigated for a class of discrete time-varying systems with an event-based communication mechanism. Each intelligent sensor node transmits the data to its neighbors only when the local innovation violates a predetermined Send-on-Delta (SoD) data transmission condition. The aim of the proposed problem is to construct a distributed filter for each sensor node subject to sporadic communications over wireless networks. In terms of an event indicator variable, the triggering information is utilized so as to reduce the conservatism in the filter analysis. An upper bound for the filtering error covariance is obtained in form of Riccati-like difference equations by utilizing the inductive method. Subsequently, such an upper bound is minimized by appropriately designing the filter parameters iteratively, where a novel matrix simplification technique is developed to handle the challenges resulting from the sparseness of the sensor network topology and filter structure preserving issues. The effectiveness of the proposed strategy is illustrated by a numerical simulation.
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Cites
Distributed event-triggered control for multi-agent systems
Dimarogonas, D. V., Frazzoli, E., & Johansson, K. H. (2012) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2011.2174666 · Cited by 2,556
A Delay System Method for Designing Event-Triggered Controllers of Networked Control Systems
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Distributed Kalman filtering for sensor networks
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A new delay system approach to network-based control
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PicoRodio supports ad hoc ultra-low power wireless networking
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Model-Based Event-Triggered Control for Systems With Quantization and Time-Varying Network Delays
Garcia, E., & Antsaklis, P. J. (2013) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2012.2211411 · Cited by 636
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Self-citationSend-On-Delta Concept: An Event-Based Data Reporting Strategy
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Self-citationA survey of event-based strategies on control and estimation
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A survey of deep neural network architectures and their applications
Liu, W., Wang, Z., Liu, X., Zeng, N., Liu, Y., & Alsaadi, F. E. (2017) · Neurocomputing · doi:10.1016/j.neucom.2016.12.038 · Cited by 3,239
Self-citationEvent-triggered communication and control of networked systems for multi-agent consensus
Nowzari, C., Garcia, E., & Cortés, J. (2019) · Automatica · doi:10.1016/j.automatica.2019.03.009 · Cited by 655
Shen, B., Wang, Z., Wang, D., & Li, Q. (2020) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2019.2946290 · Cited by 267
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Metadata
- Authors
- Liu, Q., Wang, Z., He, X., & Zhou, D. H.
- Venue
- IEEE Transactions on Automatic Control
- Published
- 2015-09
- Volume
- 60
- Issue
- 9
- Pages
- 2470-2475
- ISSN
- 0018-9286 (ISSN-L)
- 1558-2523
- OpenAlex
- W1996384036
- Cited by
- 266
- References
- 16
- FWCI
- 30.34
- Type
- journal article
- Language
- en
- Open access
- closed
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