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Cyber-Physical Power Systems State Estimation

1, 2021

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Worst-case stealthy innovation-based linear attack on remote state estimation

Automatica (Oxford), 2018-03, Vol.89, p.117-124

2018

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Event-triggered H ∞ state estimation for discrete-time stochastic genetic regulatory networks with Markovian jumping parameters and time-varying delays

Neurocomputing (Amsterdam), 2016-01, Vol.174, p.912-920

2016

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Dynamic event-triggered mechanism for H∞ non-fragile state estimation of complex networks under randomly occurring sensor saturations

Information sciences, 2020-01, Vol.509, p.304-316

2020

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Noise covariance matrices in state‐space models: A survey and comparison of estimation methods—Part I

International journal of adaptive control and signal processing, 2017-11, Vol.31 (11), p.1505-1543

2017

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On finite-horizon H∞ state estimation for discrete-time delayed memristive neural networks under stochastic communication protocol

Information sciences, 2021-05, Vol.555, p.280-292

2021

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Finite-time H∞ asynchronous state estimation for discrete-time fuzzy Markov jump neural networks with uncertain measurements

Fuzzy sets and systems, 2019-02, Vol.356, p.113-128

2019

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Stability of consensus extended Kalman filter for distributed state estimation

Automatica (Oxford), 2016-06, Vol.68, p.169-178

2016

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Data‐driven parallel Koopman subsystem modeling and distributed moving horizon state estimation for large‐scale nonlinear processes

AIChE journal, 2024-03, Vol.70 (3)

2024

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Adaptive sliding mode observers for lithium-ion battery state estimation based on parameters identified online

Energy (Oxford), 2018-06, Vol.153, p.732-742

2018

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An unscented Kalman filter method for real time input-parameter-state estimation

Mechanical systems and signal processing, 2022-01, Vol.162, p.108026, Article 108026

2022

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A taxonomy of multi-area state estimation methods

Electric power systems research, 2011-04, Vol.81 (4), p.1060-1069

2011

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Experiences on Use of State Estimator in Power System Operations

2024 edition., 2024

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Revisiting the dual extended Kalman filter for battery state-of-charge and state-of-health estimation: A use-case life cycle analysis

Journal of energy storage, 2018-10, Vol.19, p.73-87

2018

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A Comprehensive Review of Hybrid State Estimation in Power Systems: Challenges, Opportunities and Prospects

Energies (Basel), 2024-10, Vol.17 (19), p.4806

2024

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Nonlinear Bayesian state estimation: A review of recent developments

Control engineering practice, 2012-10, Vol.20 (10), p.933-953

2012

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Distributed state estimation for renewable energy microgrids with sensor saturations

Automatica (Oxford), 2021-09, Vol.131, p.109730, Article 109730

2021

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Adaptive distributed Kalman-like filter for power system with cyber attacks

Automatica (Oxford), 2022-03, Vol.137, p.110091, Article 110091

2022

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Distributed H∞ state estimation for switched sensor networks with packet dropouts via persistent dwell-time switching mechanism

Information sciences, 2021-07, Vol.563, p.256-268

2021

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New optimal method for L2-L∞ state estimation of delayed neural networks

Neurocomputing (Amsterdam), 2020-11, Vol.415, p.258-265

2020

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H∞ state estimation for multi-rate artificial neural networks with integral measurements: A switched system approach

Information sciences, 2020-10, Vol.539, p.434-446

2020

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HMM-based H∞ state estimation for memristive jumping neural networks subject to fading channel

Neurocomputing (Amsterdam), 2020-06, Vol.393, p.66-75

2020

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Generalized minimum variance unbiased joint input-state estimation and its unscented scheme for dynamic systems with direct feedthrough

Mechanical systems and signal processing, 2018-01, Vol.99, p.886-920

Song, Wei

2018

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A Novel Kalman Filter Design and Analysis Method Considering Observability and Dominance Properties of Measurands Applied to Vehicle State Estimation

Sensors (Basel, Switzerland), 2021-07, Vol.21 (14), p.4750

2021

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Exactly sparse Gaussian variational inference with application to derivative-free batch nonlinear state estimation

The International journal of robotics research, 2020-11, Vol.39 (13), p.1473-1502

2020

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Cyber-Physical Power Systems State Estimation

Worst-case stealthy innovation-based linear attack on remote state estimation

Event-triggered H ∞ state estimation for discrete-time stochastic genetic regulatory networks with Markovian jumping parameters and time-varying delays

Dynamic event-triggered mechanism for H∞ non-fragile state estimation of complex networks under randomly occurring sensor saturations

Noise covariance matrices in state‐space models: A survey and comparison of estimation methods—Part I

On finite-horizon H∞ state estimation for discrete-time delayed memristive neural networks under stochastic communication protocol

Finite-time H∞ asynchronous state estimation for discrete-time fuzzy Markov jump neural networks with uncertain measurements

Stability of consensus extended Kalman filter for distributed state estimation

Data‐driven parallel Koopman subsystem modeling and distributed moving horizon state estimation for large‐scale nonlinear processes

Adaptive sliding mode observers for lithium-ion battery state estimation based on parameters identified online

An unscented Kalman filter method for real time input-parameter-state estimation

A taxonomy of multi-area state estimation methods

Experiences on Use of State Estimator in Power System Operations

Revisiting the dual extended Kalman filter for battery state-of-charge and state-of-health estimation: A use-case life cycle analysis

A Comprehensive Review of Hybrid State Estimation in Power Systems: Challenges, Opportunities and Prospects

Nonlinear Bayesian state estimation: A review of recent developments

Distributed state estimation for renewable energy microgrids with sensor saturations

Adaptive distributed Kalman-like filter for power system with cyber attacks

Distributed H∞ state estimation for switched sensor networks with packet dropouts via persistent dwell-time switching mechanism

New optimal method for L2-L∞ state estimation of delayed neural networks

H∞ state estimation for multi-rate artificial neural networks with integral measurements: A switched system approach

HMM-based H∞ state estimation for memristive jumping neural networks subject to fading channel

Generalized minimum variance unbiased joint input-state estimation and its unscented scheme for dynamic systems with direct feedthrough

A Novel Kalman Filter Design and Analysis Method Considering Observability and Dominance Properties of Measurands Applied to Vehicle State Estimation

Exactly sparse Gaussian variational inference with application to derivative-free batch nonlinear state estimation

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