Daniel Jung

ORCID

Publication Activity (10 Years)

Years Active: 2016-2023
Publications (10 Years): 19

Top Venues

CoRR

IEEE Trans. Control. Syst. Technol.

ACC

Autom.

Linköping University, Sweden (PHD)

Education History

Linköping University, Sweden

PHD

Publications

Theodor Westny, Arman Mohammadi, Daniel Jung, Erik Frisk
Stability-Informed Initialization of Neural Ordinary Differential Equations. CoRR (2023)
Arman Mohammadi, Theodor Westny, Daniel Jung, Mattias Krysander
Analysis of Numerical Integration in RNN-Based Residuals for Fault Diagnosis of Dynamic Systems. CoRR (2023)
Daniel Jung
Automated Design of Grey-Box Recurrent Neural Networks For Fault Diagnosis using Structural Models and Causal Information. L4DC (2022)
Sergii Voronov, Daniel Jung, Erik Frisk
A forest-based algorithm for selecting informative variables using Variable Depth Distribution. Eng. Appl. Artif. Intell. 97 (2021)
Daniel Jung
Distributed Feature Selection for Multi-Class Classification Using ADMM. IEEE Control. Syst. Lett. 5 (3) (2021)
Shreshta Rajakumar Deshpande, Daniel Jung, Leo Bauer, Marcello Canova
Integrated Approximate Dynamic Programming and Equivalent Consumption Minimization Strategy for Eco-Driving in a Connected and Automated Vehicle. IEEE Trans. Veh. Technol. 70 (11) (2021)
Daniel Jung
Data-Driven Open-Set Fault Classification of Residual Data Using Bayesian Filtering. IEEE Trans. Control. Syst. Technol. 28 (5) (2020)
Daniel Jung, Yi Dong, Erik Frisk, Mattias Krysander, Gautam Biswas
Sensor selection for fault diagnosis in uncertain systems. Int. J. Control 93 (3) (2020)
Shreshta Rajakumar Deshpande, Daniel Jung, Marcello Canova
Integrated Approximate Dynamic Programming and Equivalent Consumption Minimization Strategy for Eco-Driving in a Connected and Automated Vehicle. CoRR (2020)
Andreas Lundgren, Daniel Jung
Data-Driven Open Set Fault Classification and Fault Size Estimation Using Quantitative Fault Diagnosis Analysis. CoRR (2020)
Frans Skarman, Oscar Gustafsson, Daniel Jung, Mattias Krysander
Acceleration of Simulation Models Through Automatic Conversion to FPGA Hardware. FPL (2020)
Daniel Jung
Structural Methods for Distributed Fault Diagnosis of Large-Scale Systems. CDC (2020)
Jan Åslund, Erik Frisk, Daniel Jung
Asymptotic behavior of a fault diagnosis performance measure for linear systems. Autom. 106 (2019)
Daniel Jung
Isolation and Localization of Unknown Faults Using Neural Network-Based Residuals. CoRR (2019)
Daniel Jung, Christofer Sundström
A Combined Data-Driven and Model-Based Residual Selection Algorithm for Fault Detection and Isolation. IEEE Trans. Control. Syst. Technol. 27 (2) (2019)
Daniel Jung, Qadeer Ahmed, Giorgio Rizzoni
Design Space Exploration for Powertrain Electrification using Gaussian Processes. ACC (2018)
Eeshan Deosthale, Daniel Jung, Qadeer Ahmed
Sensor Selection for Fault Detection and Isolation in Structurally Reconfigurable Systems. ACC (2018)
Daniel Jung, Erik Frisk
Residual selection for fault detection and isolation using convex optimization. Autom. 97 (2018)
Christofer Sundström, Daniel Jung, Anders Blom
Analysis of optimal energy management in smart homes using MPC. ECC (2016)

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Publication Activity (10 Years)

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Daniel Jung