Articles with "distributed estimation" as a keyword



Information-Theoretic Disturbance Minimization for Unified Secure or Robust Distributed Estimation in Presence of Impulsive FDI Attack or Impulsive Noise

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Published in 2025 at "IEEE Access"

DOI: 10.1109/access.2025.3611147

Abstract: In this paper, an information-theoretic and statistical viewpoint of distributed estimation problem is considered as the contribution of the work. So, a novel minimum information-theoretic disturbance diffusion least-mean-square (LMS) algorithm is presented for both robust… read more here.

Keywords: information; distributed estimation; information theoretic; disturbance ... See more keywords
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Robust Distributed Estimation for Linear Systems Under Intermittent Information

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Published in 2018 at "IEEE Transactions on Automatic Control"

DOI: 10.1109/tac.2017.2737139

Abstract: We provide a comprehensive solution to the estimation problem of the state for a linear time-invariant system in a distributed fashion over networks that allow only intermittent information transmission. By attaching to each node an… read more here.

Keywords: estimation; information; estimation linear; distributed estimation ... See more keywords

Distributed Estimation of Time-Varying Biases in Relative State Measurements

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Published in 2022 at "IEEE Transactions on Automatic Control"

DOI: 10.1109/tac.2021.3115429

Abstract: This article focuses on the distributed estimation of time-varying bias signals in relative state measurements of sensors, where each sensor measures the relative state of neighboring sensors and the measurements contain a time-varying bias signal… read more here.

Keywords: state; distributed estimation; estimation time; relative state ... See more keywords

Resilient Distributed Estimation Against FDI Attacks: A Game-Theoretic Approach

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Published in 2025 at "IEEE Transactions on Aerospace and Electronic Systems"

DOI: 10.1109/taes.2025.3553114

Abstract: False data injection (FDI) attack is one of the major security threats to distributed estimation for adaptive networks, and could bypass the conventional residual-based detection and thus cause catastrophic performance deterioration. In this work, we… read more here.

Keywords: resilient distributed; distributed estimation; fdi attacks; estimation ... See more keywords

Divide-And-Conquer Secure Distributed Estimation With Density Peak Under Adversarial Networks

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Published in 2025 at "IEEE Transactions on Aerospace and Electronic Systems"

DOI: 10.1109/taes.2025.3592645

Abstract: Secure distributed estimation algorithms have garnered widespread attention for their stability and security. However, in the harsh adversarial network environment, the network is subjected to multiple attacks, and a large number of nodes are compromised,… read more here.

Keywords: secure distributed; distributed estimation; secure; estimation ... See more keywords

Secure Distributed Estimation Against Data Integrity Attacks in Internet-of-Things Systems

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Published in 2022 at "IEEE Transactions on Automation Science and Engineering"

DOI: 10.1109/tase.2021.3090416

Abstract: A secure distributed estimation method against data integrity attacks is presented for general Internet-of-Things (IoT) systems. By exploiting the spatial sparsity of the attacks, a robust optimal estimation objective to protect the entire IoT system… read more here.

Keywords: data integrity; secure distributed; distributed estimation; estimation ... See more keywords

Distributed Estimation Approach for Tracking a Mobile Target via Formation of UAVs

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Published in 2022 at "IEEE Transactions on Automation Science and Engineering"

DOI: 10.1109/tase.2021.3135834

Abstract: This paper considers distributed estimation methods to enable the formation of Unmanned-Aerial-Vehicles (UAVs) that track a moving target. The UAVs (or agents) are equipped with communication devices to receive a beacon signal from the target… read more here.

Keywords: time; communication; distributed estimation; formation ... See more keywords

Distributed Estimation and Motion Control in Multi-Agent Systems Under Multiple Attacks

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Published in 2025 at "IEEE Transactions on Automation Science and Engineering"

DOI: 10.1109/tase.2025.3545462

Abstract: This paper addresses the problem of distributed estimation and motion control (DEMC) in multi-agent systems (MASs) with both linear and Lipschitz nonlinear dynamics. Unlike conventional DEMC methods designed for MASs under ideal conditions, this work… read more here.

Keywords: motion control; multiple attacks; distributed estimation; demc ... See more keywords

Distributed Estimation of State and Parameters in Multiagent Cooperative Load Manipulation

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Published in 2019 at "IEEE Transactions on Control of Network Systems"

DOI: 10.1109/tcns.2018.2873153

Abstract: We present two distributed methods for the estimation of the kinematic parameters, the dynamic parameters, and the kinematic state of an unknown planar body manipulated by a decentralized multiagent system. The proposed approaches rely on… read more here.

Keywords: state parameters; load; distributed estimation; state ... See more keywords

Online Learning of Minmax Solutions for Distributed Estimation and Tracking Control of Sensor Networks in Graphical Games

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Published in 2022 at "IEEE Transactions on Control of Network Systems"

DOI: 10.1109/tcns.2022.3181550

Abstract: In this article, a new target tracking algorithm that is based on a distributed estimation-based control protocol is developed for multiple moving sensors subject to adversarial inputs. An augmented system composed of both the estimation… read more here.

Keywords: control; distributed estimation; tracking control; estimation tracking ... See more keywords

Robust and Sparse Aware Diffusion Adaptive Algorithms for Distributed Estimation

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Published in 2022 at "IEEE Transactions on Circuits and Systems II: Express Briefs"

DOI: 10.1109/tcsii.2021.3087535

Abstract: In distributed wireless sensor networks, geographically distributed sensors cooperate wirelessly with each other. While sensing from the environment, the signals from these sensors are often contaminated by noise. Traditional diffusion algorithms for distributed estimation consider… read more here.

Keywords: algorithms; diffusion; distributed estimation; algorithms distributed ... See more keywords