Results 1 to 10 of about 342,012 (212)
Iterative Diffusion-Based Distributed Cubature Gaussian Mixture Filter for Multisensor Estimation [PDF]
In this paper, a distributed cubature Gaussian mixture filter (DCGMF) based on an iterative diffusion strategy (DCGMF-ID) is proposed for multisensor estimation and information fusion. The uncertainties are represented as Gaussian mixtures at each sensor
Bin Jia, Tao Sun, Ming Xin
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Performance Analysis of Distributed Estimation for Data Fusion Using a Statistical Approach in Smart Grid Noisy Wireless Sensor Networks [PDF]
Internet of Things (IoT) can significantly enhance various aspects of today’s electric power grid infrastructures for making reliable, efficient, and safe next-generation Smart Grids (SGs).
Chatura Seneviratne +2 more
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Distributed Estimation of Fields Using a Sensor Network with Quantized Measurements [PDF]
In this paper, the problem of estimating a scalar field (e.g., the spatial distribution of contaminants in an area) using a sensor network is considered. The sensors are assumed to have quantized measurements.
Chethaka Jayasekaramudeli +4 more
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Distributed estimation of principal eigenspaces. [PDF]
47 ...
Fan J, Wang D, Wang K, Zhu Z.
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Distributed Estimation Techniques for Cyber-Physical Systems: A Systematic Review [PDF]
This paper undertakes a systematic review (SR) on distributed estimation techniques applied to cyber-physical systems (CPS). Even though SRs are not the common way to survey a theme in the control community, they provide a rigorous, robust and objective ...
Carmelina Ierardi +2 more
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The distributed cubature Kalman filter is widely used in the field of target tracking, however, the presence of model uncertainties will undermine its tracking stability and effectiveness for tracking maneuvering target. In order to eliminate this effect
Zheng Zhang +5 more
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An Effective Adaptive Combination Strategy for Distributed Learning Network
In this paper, we develop a modified adaptive combination strategy for the distributed estimation problem over diffusion networks. We still consider the online adaptive combiners estimation problem from the perspective of minimum variance unbiased ...
Chundong Xu, Qinglin Li, Dongwen Ying
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Increasing the autonomy of multi-agent systems or swarms for exploration missions requires tools for efficient information gathering. This work studies this problem from theoretical and experimental perspectives and evaluates an exploration system for ...
Christoph Manss +2 more
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Resilient Distributed Field Estimation [PDF]
We study resilient distributed field estimation under measurement attacks. A network of agents or devices measures a large, spatially distributed physical field parameter. An adversary arbitrarily manipulates the measurements of some of the agents. Each agent's goal is to process its measurements and information received from its neighbors to estimate ...
Yuan Chen 0006 +2 more
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Heterogeneous wireless sensor networks (HWSNs) can achieve more tasks and prolong the network lifetime. However, they are vulnerable to attacks from the environment or malicious nodes.
Shichao Mi +4 more
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