joint state Latest Research Papers

Event-based joint state and fault estimation: The envelope-constrained H∞ criterion

Applied Mathematics and Computation ◽

10.1016/j.amc.2021.126873 ◽

2022 ◽

Vol 419 ◽

pp. 126873

Author(s):

Licheng Wang ◽

Hui Chen

Keyword(s):

Fault Estimation ◽

Event Based ◽

Joint State

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On Joint State Estimation and Model Learning using Gaussian Process Approximations

10.3384/9789179291426 ◽

2021 ◽

Author(s):

Anton Kullberg

Keyword(s):

Gaussian Process ◽

State Estimation ◽

Model Learning ◽

Joint State

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Joint State and Dynamics Estimation With High-Gain Observers and Gaussian Process Models

IEEE Control Systems Letters ◽

10.1109/lcsys.2020.3042412 ◽

2021 ◽

Vol 5 (5) ◽

pp. 1627-1632

Author(s):

Mona Buisson-Fenet ◽

Valery Morgenthaler ◽

Sebastian Trimpe ◽

Florent Di Meglio

Keyword(s):

Gaussian Process ◽

High Gain ◽

Process Models ◽

Gaussian Process Models ◽

Joint State

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Bayesian Joint State-Parameter-Input Estimation of Flexible-Base Buildings from Sparse Measurements Using Timoshenko Beam Models

Journal of Structural Engineering ◽

10.1061/(asce)st.1943-541x.0003095 ◽

2021 ◽

Vol 147 (10) ◽

pp. 04021151

Author(s):

Parisa Rostami ◽

Mojtaba Mahsuli ◽

S. Farid Ghahari ◽

Ertugrul Taciroglu

Keyword(s):

Timoshenko Beam ◽

State Parameter ◽

Input Estimation ◽

Flexible Base ◽

Sparse Measurements ◽

Joint State

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Image-Based Joint State Estimation Pipeline for Sensorless Manipulators

10.1109/iros51168.2021.9636439 ◽

2021 ◽

Author(s):

Mingjie Han ◽

Bowen Xie ◽

Martin Barczyk ◽

Alireza Bayat

Keyword(s):

State Estimation ◽

Joint State

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Corrigendum to “Service migration in multi-access edge computing: A joint state adaptation and reinforcement learning mechanism” [J. Netw. Comput. Appl. 183–184 (2021) 103058]

Journal of Network and Computer Applications ◽

10.1016/j.jnca.2021.103085 ◽

2021 ◽

Vol 186 ◽

pp. 103085

Author(s):

LanLan Rui ◽

Menglei Zhang ◽

Zhipeng Gao ◽

Xuesong Qiu ◽

Zhili Wang ◽

...

Keyword(s):

Reinforcement Learning ◽

Edge Computing ◽

Learning Mechanism ◽

Service Migration ◽

Multi Access ◽

Joint State

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Inverse modeling and joint state-parameter estimation with a noise mapping meta-model

The Journal of the Acoustical Society of America ◽

10.1121/10.0004984 ◽

2021 ◽

Vol 149 (6) ◽

pp. 3961-3974

Author(s):

Antoine Lesieur ◽

Vivien Mallet ◽

Pierre Aumond ◽

Arnaud Can

Keyword(s):

Parameter Estimation ◽

Inverse Modeling ◽

State Parameter ◽

Noise Mapping ◽

Meta Model ◽

Joint State

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An Ellipsoidal Set-Membership Approach to Distributed Joint State and Sensor Fault Estimation of Autonomous Ground Vehicles

IEEE/CAA Journal of Automatica Sinica ◽

10.1109/jas.2021.1004015 ◽

2021 ◽

Vol 8 (6) ◽

pp. 1107-1118

Author(s):

Eman Mousavinejad ◽

Xiaohua Ge ◽

Qing-Long Han ◽

Teng Joon Lim ◽

Ljubo Vlacic

Keyword(s):

Fault Estimation ◽

Ground Vehicles ◽

Sensor Fault ◽

Autonomous Ground Vehicles ◽

Set Membership ◽

Sensor Fault Estimation ◽

Joint State

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Joint state and dynamics estimation with high-gain observers and Gaussian process models

2021 American Control Conference (ACC) ◽

10.23919/acc50511.2021.9482714 ◽

2021 ◽

Author(s):

Mona Buisson-Fenet ◽

Valery Morgenthaler ◽

Sebastian Trimpe ◽

Florent di Meglio

Keyword(s):

Gaussian Process ◽

High Gain ◽

Process Models ◽

Gaussian Process Models ◽

Joint State

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Service migration in multi-access edge computing: A joint state adaptation and reinforcement learning mechanism

Journal of Network and Computer Applications ◽

10.1016/j.jnca.2021.103058 ◽

2021 ◽

pp. 103058

Author(s):

LanLan Rui ◽

Menglei Zhang ◽

Zhipeng Gao ◽

Xuesong Qiu ◽

Zhili Wang ◽

...

Keyword(s):

Reinforcement Learning ◽

Edge Computing ◽

Learning Mechanism ◽

Service Migration ◽

Multi Access ◽

Joint State

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joint state
Recently Published Documents

TOTAL DOCUMENTS

H-INDEX

Event-based joint state and fault estimation: The envelope-constrained H∞ criterion

On Joint State Estimation and Model Learning using Gaussian Process Approximations

Joint State and Dynamics Estimation With High-Gain Observers and Gaussian Process Models

Bayesian Joint State-Parameter-Input Estimation of Flexible-Base Buildings from Sparse Measurements Using Timoshenko Beam Models

Image-Based Joint State Estimation Pipeline for Sensorless Manipulators

Corrigendum to “Service migration in multi-access edge computing: A joint state adaptation and reinforcement learning mechanism” [J. Netw. Comput. Appl. 183–184 (2021) 103058]

Inverse modeling and joint state-parameter estimation with a noise mapping meta-model

An Ellipsoidal Set-Membership Approach to Distributed Joint State and Sensor Fault Estimation of Autonomous Ground Vehicles

Joint state and dynamics estimation with high-gain observers and Gaussian process models

Service migration in multi-access edge computing: A joint state adaptation and reinforcement learning mechanism

Export Citation Format

joint stateRecently Published Documents

TOTAL DOCUMENTS

H-INDEX

Event-based joint state and fault estimation: The envelope-constrained H∞ criterion

On Joint State Estimation and Model Learning using Gaussian Process Approximations

Joint State and Dynamics Estimation With High-Gain Observers and Gaussian Process Models

Bayesian Joint State-Parameter-Input Estimation of Flexible-Base Buildings from Sparse Measurements Using Timoshenko Beam Models

Image-Based Joint State Estimation Pipeline for Sensorless Manipulators

Corrigendum to “Service migration in multi-access edge computing: A joint state adaptation and reinforcement learning mechanism” [J. Netw. Comput. Appl. 183–184 (2021) 103058]

Inverse modeling and joint state-parameter estimation with a noise mapping meta-model

An Ellipsoidal Set-Membership Approach to Distributed Joint State and Sensor Fault Estimation of Autonomous Ground Vehicles

Joint state and dynamics estimation with high-gain observers and Gaussian process models

Service migration in multi-access edge computing: A joint state adaptation and reinforcement learning mechanism

joint state
Recently Published Documents