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Cyber-Physical Power Systems State Estimation

1, 2021

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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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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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Resilient state estimation for time-varying uncertain dynamical networks with data packet dropouts and switching topology: an event-triggered method

IET control theory & applications, 2020-02, Vol.14 (3), p.367-377

2020

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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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Bias compensation-based parameter and state estimation for a class of time-delay non-linear state-space models

IET control theory & applications, 2020-10, Vol.14 (15), p.2176-2185

2020

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Optimal allocation of PMUs in active distribution network considering reliability of state estimation results

IET generation, transmission & distribution, 2020-09, Vol.14 (18), p.3641-3651

2020

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Dynamic Estimation and Control of Power Systems

1, 2018

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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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Event-Trigger Dynamic State Estimation for Practical WAMS Applications in Smart Grid

1st Edition 2020, 2020

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Security distributed state estimation for nonlinear networked systems against DoS attacks

International journal of robust and nonlinear control, 2020-02, Vol.30 (3), p.1156-1180

2020

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Advances in Electric Power and Energy: Static State Estimation

El-Hawary, Mohamed E

1st, 2020

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Parallel relaxation-based joint dynamic state estimation of large-scale power systems

IET generation, transmission & distribution, 2016-02, Vol.10 (2), p.452-459

2016

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A novel set-membership control strategy for discrete-time linear time-varying systems

IET control theory & applications, 2019-12, Vol.13 (18), p.3087-3095

2019

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Joint attack detection and secure state estimation of cyber‐physical systems

International journal of robust and nonlinear control, 2020-07, Vol.30 (11), p.4303-4330

2020

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Non‐fragile state estimation of discrete‐time two‐time‐scale Markov jump complex networks subject to partially known probabilities

International journal of adaptive control and signal processing, 2023-12, Vol.37 (12), p.3111-3124

2023

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Efficient resilient dynamic co-estimation framework for cyber-physical systems under sensor attacks

IET control theory & applications, 2020-12, Vol.14 (20), p.3526-3536

2020

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Partition‐based distributed extended Kalman filter for large‐scale nonlinear processes with application to chemical and wastewater treatment processes

AIChE journal, 2023-12, Vol.69 (12)

2023

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Event-triggered distributed ℋ∞ state estimation with packet dropouts through sensor networks

IET control theory & applications, 2015-08, Vol.9 (13), p.1948-1955

2015

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Distributed consensus extended Kalman filter: a variance-constrained approach

IET control theory & applications, 2017-02, Vol.11 (3), p.382-389

2017

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Application of Recurrent Graph Convolutional Networks to the Neural State Estimation Problem

International Journal of Electrical and Electronic Engineering & Telecommunications, 2023, p.209-215

2023

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Probabilistic multi-objective state estimation-based PMU placement in the presence of bad data and missing measurements

IET generation, transmission & distribution, 2020-08, Vol.14 (15), p.3042-3051

2020

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Subsystem decomposition and distributed state estimation of nonlinear processes with implicit time‐scale multiplicity

AIChE journal, 2022-05, Vol.68 (5), p.n/a

2022

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Testing and Defending Methods Against DOS Attack in State Estimation

Asian journal of control, 2017-07, Vol.19 (4), p.1295-1305

2017

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Distributed state estimation from infrequent and delayed measurements in large‐scale processes

AIChE journal, 2023-04, Vol.69 (4), p.n/a

2023

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Cyber-Physical Power Systems State Estimation

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

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

Resilient state estimation for time-varying uncertain dynamical networks with data packet dropouts and switching topology: an event-triggered method

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

Bias compensation-based parameter and state estimation for a class of time-delay non-linear state-space models

Optimal allocation of PMUs in active distribution network considering reliability of state estimation results

Dynamic Estimation and Control of Power Systems

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

Event-Trigger Dynamic State Estimation for Practical WAMS Applications in Smart Grid

Security distributed state estimation for nonlinear networked systems against DoS attacks

Advances in Electric Power and Energy: Static State Estimation

Parallel relaxation-based joint dynamic state estimation of large-scale power systems

A novel set-membership control strategy for discrete-time linear time-varying systems

Joint attack detection and secure state estimation of cyber‐physical systems

Non‐fragile state estimation of discrete‐time two‐time‐scale Markov jump complex networks subject to partially known probabilities

Efficient resilient dynamic co-estimation framework for cyber-physical systems under sensor attacks

Partition‐based distributed extended Kalman filter for large‐scale nonlinear processes with application to chemical and wastewater treatment processes

Event-triggered distributed ℋ∞ state estimation with packet dropouts through sensor networks

Distributed consensus extended Kalman filter: a variance-constrained approach

Application of Recurrent Graph Convolutional Networks to the Neural State Estimation Problem

Probabilistic multi-objective state estimation-based PMU placement in the presence of bad data and missing measurements

Subsystem decomposition and distributed state estimation of nonlinear processes with implicit time‐scale multiplicity

Testing and Defending Methods Against DOS Attack in State Estimation

Distributed state estimation from infrequent and delayed measurements in large‐scale processes

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