Daniel Jung

According to our database, Daniel Jung authored at least 23 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Enhancing the Security of Automotive Systems Using Attackability Index.

Vishnu Renganathan, Qadeer Ahmed, Daniel Jung

IEEE Trans. Intell. Veh., January, 2024

2023

Stability-Informed Initialization of Neural Ordinary Differential Equations.

Theodor Westny, Arman Mohammadi, Daniel Jung, Erik Frisk

CoRR, 2023

Analysis of Numerical Integration in RNN-Based Residuals for Fault Diagnosis of Dynamic Systems.

Arman Mohammadi, Theodor Westny, Daniel Jung, Mattias Krysander

CoRR, 2023

2022

Automated Design of Grey-Box Recurrent Neural Networks For Fault Diagnosis using Structural Models and Causal Information.

Daniel Jung

Proceedings of the Learning for Dynamics and Control Conference, 2022

2021

Integrated Approximate Dynamic Programming and Equivalent Consumption Minimization Strategy for Eco-Driving in a Connected and Automated Vehicle.

Shreshta Rajakumar Deshpande, Daniel Jung, Leo Bauer, Marcello Canova

IEEE Trans. Veh. Technol., 2021

A forest-based algorithm for selecting informative variables using Variable Depth Distribution.

Sergii Voronov, Daniel Jung, Erik Frisk

Eng. Appl. Artif. Intell., 2021

Distributed Feature Selection for Multi-Class Classification Using ADMM.

Daniel Jung

IEEE Control. Syst. Lett., 2021

2020

Data-Driven Open-Set Fault Classification of Residual Data Using Bayesian Filtering.

Daniel Jung

IEEE Trans. Control. Syst. Technol., 2020

Sensor selection for fault diagnosis in uncertain systems.

Daniel Jung, Yi Dong, Erik Frisk, Mattias Krysander, Gautam Biswas

Int. J. Control, 2020

Integrated Approximate Dynamic Programming and Equivalent Consumption Minimization Strategy for Eco-Driving in a Connected and Automated Vehicle.

Shreshta Rajakumar Deshpande, Daniel Jung, Marcello Canova

CoRR, 2020

Data-Driven Open Set Fault Classification and Fault Size Estimation Using Quantitative Fault Diagnosis Analysis.

Andreas Lundgren, Daniel Jung

CoRR, 2020

Acceleration of Simulation Models Through Automatic Conversion to FPGA Hardware.

Frans Skarman, Oscar Gustafsson, Daniel Jung, Mattias Krysander

Proceedings of the 30th International Conference on Field-Programmable Logic and Applications, 2020

Structural Methods for Distributed Fault Diagnosis of Large-Scale Systems.

Daniel Jung

Proceedings of the 59th IEEE Conference on Decision and Control, 2020

2019

A Combined Data-Driven and Model-Based Residual Selection Algorithm for Fault Detection and Isolation.

Daniel Jung, Christofer Sundström

IEEE Trans. Control. Syst. Technol., 2019

Isolation and Localization of Unknown Faults Using Neural Network-Based Residuals.

Daniel Jung

CoRR, 2019

Asymptotic behavior of a fault diagnosis performance measure for linear systems.

Jan Åslund, Erik Frisk, Daniel Jung

Autom., 2019

2018

Residual selection for fault detection and isolation using convex optimization.

Daniel Jung, Erik Frisk

Autom., 2018

Design Space Exploration for Powertrain Electrification using Gaussian Processes.

Daniel Jung, Qadeer Ahmed, Giorgio Rizzoni

Proceedings of the 2018 Annual American Control Conference, 2018

Sensor Selection for Fault Detection and Isolation in Structurally Reconfigurable Systems.

Eeshan Deosthale, Daniel Jung, Qadeer Ahmed

Proceedings of the 2018 Annual American Control Conference, 2018

2016

Analysis of optimal energy management in smart homes using MPC.

Christofer Sundström, Daniel Jung, Anders Blom

Proceedings of the 15th European Control Conference, 2016

2015

Diagnosability performance analysis of models and fault detectors.

Daniel Jung

PhD thesis, 2015

Minimal Structurally Overdetermined Sets Selection for Distributed Fault Detection.

Hamed Khorasgani, Gautam Biswas, Daniel E. Jung

Proceedings of the 26th International Workshop on Principles of Diagnosis (DX-2015) co-located with 9th IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes (Safeprocess 2015), Paris, France, August 31, 2015

2014

Robust residual selection for fault detection.

Hamed Khorasgani, Daniel E. Jung, Gautam Biswas, Erik Frisk, Mattias Krysander

Proceedings of the 53rd IEEE Conference on Decision and Control, 2014