Delay-Tolerant Distributed Inference in Tracking Networks

This paper discusses asynchronous distributed inference in object tracking. Unlike many studies, which assume that the delay in communication between partial estimators and the central station is negligible, our study focuses on the problem of asynchronous distributed inference in the presence of delays. We introduce an efficient data fusion method for combining the distributed estimates, where delay in communications is not negligible. To overcome the delay, predictions are made for the state of the system based on the most current available information from partial estimators. Simulation results show the efficacy of the methods proposed.

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The Design of Neuro-Fuzzy Control System Based on Data Fusion

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.678.406 ◽

2014 ◽

Vol 678 ◽

pp. 406-409

Author(s):

Xiao Rong Fu

Keyword(s):

Nonlinear Systems ◽

Data Fusion ◽

Intelligent Control ◽

Fuzzy Controller ◽

Control Technique ◽

Fusion Method ◽

Neuro Fuzzy ◽

Simulation Results ◽

Using Data ◽

Self Learning

An adaptive neuro-fuzzy controller of nonlinear systems is presented based on data fusion method. It reduces the input dimension of the controller using data fusion technique and simplifies the fuzzy controller’s design. The fuzzy controller was designed with self-learning of neural networks. The simulation results show that the performance of the system is superior to that using conventional fuzzy controller. It is rewarding for the research on combination of data fusion method and intelligent control technique of nonlinear systems.

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Integrated SINS/WSN Positioning System for Indoor Mobile Target Using Novel Asynchronous Data Fusion Method

Journal of Sensors ◽

10.1155/2017/7879198 ◽

2017 ◽

Vol 2017 ◽

pp. 1-11 ◽

Cited By ~ 1

Author(s):

Hai Yang ◽

Wei Li ◽

Chengming Luo ◽

Jinyao Zhang ◽

Zhuoyin Si

Keyword(s):

Data Fusion ◽

Unscented Kalman Filter ◽

State Space Model ◽

State Equation ◽

The State ◽

Positioning System ◽

Fusion Method ◽

Measurement Equation ◽

Space Model ◽

Mobile Target

According to the asynchronous transmission of data for the SINS/WSN integrated positioning system, this paper proposes a novel asynchronous data fusion method using Unscented Kalman Filter for SINS/WSN integrated positioning system based on indoor mobile target. The state equation of the integrated system is built with the motion characteristic of mobile target. The pseudo measurement equation is built based on the time sequence of SINS/WSN measured value through detecting the measurement of WSN in every fusion period. Considering that the improved state-space model, comprised of the state equation and pseudo measurement equation, is the nonlinear equations, the Unscented Kalman Filter is applied to estimate the state value of the state-space model. Hence the asynchronous data fusion method for SINS/WSN integrated positioning system can be achieved. Simulation results and experimental tests show that the positioning system with proposed asynchronous data fusion algorithm performs feasibility and stability under circumstances of the asynchronous time, and it is superior to the traditional asynchronous data fusion and synchronous data fusion methods.

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A New Data Fusion Method for Multi Terminal Fault Location Based on Sensor Networks

ITM Web of Conferences ◽

10.1051/itmconf/20181702007 ◽

2018 ◽

Vol 17 ◽

pp. 02007

Author(s):

Qing-Sen Cai

Keyword(s):

Data Fusion ◽

Traveling Wave ◽

Fault Location ◽

Fusion Method ◽

Positioning Accuracy ◽

Multiple Data ◽

Different Types ◽

Location Algorithm ◽

Simulation Results ◽

Coordinate Data

Data fusion with different types of data that used for grid fault location can bring more accurate and clear results. Therefore, a new method for fault location which contains multi grid current and voltage, time and coordinate data information is proposed. Transient traveling wave is analyzed for determine the required data information in the first place, and then affirm the positioning principle and the selection rules of positioning network according to characteristics of multi fault traveling wave. Finally, Grid fault location will be precisely positioned by applying multiple data grid fault location algorithm. Simulation results shows that the proposed method is feasible, and the new algorithm has higher positioning accuracy.

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