Decentralized Optimal Fusion Filtering for Multi-Sensor Multi-Delay Singular Systems

Sun, Jing; Zhang, Chengjin

doi:10.1007/s00034-011-9313-x

Cited by 10 publications

(2 citation statements)

References 21 publications

(24 reference statements)

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“…Besides, when there exist the auto-correlated and cross-correlated noises, a robust distributed weighted Kalman filter fusion method has been presented in [163] for a class of uncertain time-varying systems with stochastic uncertainties without resorting the state augmentation method. By using the projection theory, an optimal fusion algorithm has been given in [164] for a class of multi-sensor stochastic singular systems with multiple state delays and measurement delays.…”

Section: B Distributed Filtering and Fusion For Networked Systems Ovmentioning

confidence: 99%

Estimation, filtering and fusion for networked systems with network-induced phenomena: New progress and prospects

et al. 2016

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In this paper, some recent advances on the estimation, filtering and fusion for networked systems are reviewed. Firstly, the network-induced phenomena under consideration are briefly recalled including missing/fading measurements, signal quantization, sensor saturations, communication delays, and randomly occurring incomplete information. Secondly, the developments of the estimation, filtering and fusion for networked systems from four aspects (linear networked systems, nonlinear networked systems, complex networks and sensor networks) are reviewed comprehensively. Subsequently, some recent results on the estimation, filtering and fusion for systems with the network-induced phenomena are reviewed in great detail. In particular, some latest results on the multiobjective filtering problems for time-varying nonlinear networked systems are summarized. Finally, conclusions are given and several possible research directions concerning the estimation, filtering, and fusion for networked systems are highlighted.

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Section: B Distributed Filtering and Fusion For Networked Systems Ovmentioning

confidence: 99%

Estimation, filtering and fusion for networked systems with network-induced phenomena: New progress and prospects

et al. 2016

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“…For the design of filtering methods, the results corresponding to the transmission delays have not been thoroughly discussed. In the work of Sun et al, 19 the optimal fusion filtering problem has been studied for stochastic singular systems against deterministic distributed observation delays. Moreover, in real‐world applications, the occurrence of observation delays tends to be random.…”

Section: Introductionmentioning

confidence: 99%

An event‐triggered method to distributed filtering for nonlinear multi‐rate systems with random transmission delays

Li,

Hu,

Chen

et al. 2024

Adaptive Control & Signal

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SummaryIn this article, an event‐triggered recursive filtering problem is studied for a class of nonlinear multi‐rate systems (MRSs) with random transmission delays (RTDs). The RTDs are described by utilizing random variables with a known probability distribution and the Kronecker function. To facilitate further study, the MRS is converted into a single‐rate one by adopting an iteration equation approach. To address the challenge of filter design caused by different measurement sampling periods, a modified prediction method of measurements is given. Moreover, an event‐triggered mechanism (ETM) is introduced to regulate the innovation transmission frequency. The objective of the addressed filtering problem is to design a recursive distributed filtering method for MRSs subject to ETM and RTDs, where a minimum upper bound on the filter error covariance is obtained. Moreover, the filter gain matrix is formulated by resorting to the solutions to matrix difference equations. Besides, the boundedness in the mean‐square sense of the filtering error is analyzed and a sufficient condition is provided. Finally, simulations with comparison experiments are presented to demonstrate the effectiveness of the newly proposed theoretical results.

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Distributed optimal fusion filtering for singular systems with random transmission delays and packet dropout compensations

Wang

Caballero-Águila

et al. 2023

Communications in Nonlinear Science and Numerical Simulation

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Decentralized Optimal Fusion Filtering for Multi-Sensor Multi-Delay Singular Systems

Cited by 10 publications

References 21 publications

Estimation, filtering and fusion for networked systems with network-induced phenomena: New progress and prospects

Estimation, filtering and fusion for networked systems with network-induced phenomena: New progress and prospects

An event‐triggered method to distributed filtering for nonlinear multi‐rate systems with random transmission delays

Distributed optimal fusion filtering for singular systems with random transmission delays and packet dropout compensations

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