Robust residual selection for fault detection. - Hamed Khorasgani; Daniel E. Jung; Gautam Biswas; Erik Frisk; Mattias Krysander (CDC, 2014)

Minimal Structurally Overdetermined Sets Selection for Distributed Fault Detection. - Hamed Khorasgani; Gautam Biswas; Daniel E. Jung (DX, 2015)

Diagnosability performance analysis of models and fault detectors. - Daniel Jung 002 (2015)

Analysis of optimal energy management in smart homes using MPC. - Christofer Sundström; Daniel Jung 002; Anders Blom (ECC, 2016)

Sensor Selection for Fault Detection and Isolation in Structurally Reconfigurable Systems. - Eeshan Deosthale; Daniel Jung 002; Qadeer Ahmed (ACC, 2018)

Design Space Exploration for Powertrain Electrification using Gaussian Processes. - Daniel Jung 002; Qadeer Ahmed; Giorgio Rizzoni (ACC, 2018)

Residual selection for fault detection and isolation using convex optimization. - Daniel Jung 002; Erik Frisk (Autom., 2018)

Asymptotic behavior of a fault diagnosis performance measure for linear systems. - Jan Åslund; Erik Frisk; Daniel Jung 002 (Autom., 2019)

Isolation and Localization of Unknown Faults Using Neural Network-Based Residuals. - Daniel Jung 002 (CoRR, 2019)

A Combined Data-Driven and Model-Based Residual Selection Algorithm for Fault Detection and Isolation. - Daniel Jung 002; Christofer Sundström (IEEE Trans. Control. Syst. Technol., 2019)

Structural Methods for Distributed Fault Diagnosis of Large-Scale Systems. - Daniel Jung 002 (CDC, 2020)

Acceleration of Simulation Models Through Automatic Conversion to FPGA Hardware. - Frans Skarman; Oscar Gustafsson; Daniel Jung 002; Mattias Krysander (FPL, 2020)

Data-Driven Open Set Fault Classification and Fault Size Estimation Using Quantitative Fault Diagnosis Analysis. - Andreas Lundgren; Daniel Jung 002 (CoRR, 2020)

Integrated Approximate Dynamic Programming and Equivalent Consumption Minimization Strategy for Eco-Driving in a Connected and Automated Vehicle. - Shreshta Rajakumar Deshpande; Daniel Jung 002; Marcello Canova (CoRR, 2020)

Sensor selection for fault diagnosis in uncertain systems. - Daniel Jung 002; Yi Dong; Erik Frisk; Mattias Krysander; Gautam Biswas (Int. J. Control, 2020)

Data-Driven Open-Set Fault Classification of Residual Data Using Bayesian Filtering. - Daniel Jung 002 (IEEE Trans. Control. Syst. Technol., 2020)

Distributed Feature Selection for Multi-Class Classification Using ADMM. - Daniel Jung 002 (IEEE Control. Syst. Lett., 2021)

A forest-based algorithm for selecting informative variables using Variable Depth Distribution. - Sergii Voronov; Daniel Jung 002; Erik Frisk (Eng. Appl. Artif. Intell., 2021)

Integrated Approximate Dynamic Programming and Equivalent Consumption Minimization Strategy for Eco-Driving in a Connected and Automated Vehicle. - Shreshta Rajakumar Deshpande; Daniel Jung 002; Leo Bauer; Marcello Canova (IEEE Trans. Veh. Technol., 2021)

Automated Design of Grey-Box Recurrent Neural Networks For Fault Diagnosis using Structural Models and Causal Information. - Daniel Jung 002 (L4DC, 2022)

Analysis of Numerical Integration in RNN-Based Residuals for Fault Diagnosis of Dynamic Systems. - Arman Mohammadi; Theodor Westny; Daniel Jung 002; Mattias Krysander (CoRR, 2023)

A Study on Redundancy and Intrinsic Dimension for Data-Driven Fault Diagnosis. - Daniel Jung 002; David Axelsson (DX, 2024)

Stability-Informed Initialization of Neural Ordinary Differential Equations. - Theodor Westny; Arman Mohammadi; Daniel Jung 002; Erik Frisk (ICML, 2024)

The LiU-ICE Benchmark - An Industrial Fault Diagnosis Case Study. - Daniel Jung 002; Erik Frisk; Mattias Krysander (CoRR, 2024)

Enhancing the Security of Automotive Systems Using Attackability Index. - Vishnu Renganathan; Qadeer Ahmed; Daniel Jung 002 (IEEE Trans. Intell. Veh., 2024)