Interaction-Aware Motion Planning for Autonomous Vehicles With Multi-Modal Obstacle Uncertainty Predictions - Jian Zhou; Björn Olofsson; Erik Frisk (IEEE Trans. Intell. Veh., 2024)

Uncertainty-Aware Decision-Making and Planning for Autonomous Forced Merging - Jian Zhou; Yulong Gao; Björn Olofsson; Erik Frisk (63rd IEEE Conference on Decision and Control, CDC 2024, Milan, Italy, December 16-19, 2024, 2024)

Stability-Informed Initialization of Neural Ordinary Differential Equations - Theodor Westny; Arman Mohammadi; Daniel Jung; Erik Frisk (Forty-first International Conference on Machine Learning, ICML 2024, Vienna, Austria, July 21-27, 2024, 2024)

Homotopic Optimization for Autonomous Vehicle Maneuvering - Jian Zhou; Arvind Balachandran; Björn Olofsson; Lars Nielsen; Erik Frisk (IEEE Intelligent Vehicles Symposium, IV 2024, Jeju Island, Republic of Korea, June 2-5, 2024, 2024)

DATASET FOR FAULT CLASSIFICATION IN ROCK DRILLS (PHM2022 Data) - Erik Jakobsson; Erik Frisk; Mattias Krysander (IEEE DataPort, 2024)
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Robust Predictive Motion Planning by Learning Obstacle Uncertainty - Jian Zhou; Yulong Gao; Ola Johansson; Björn Olofsson; Erik Frisk (CoRR, 2024)

Diffusion-Based Environment-Aware Trajectory Prediction - Theodor Westny; Björn Olofsson; Erik Frisk (CoRR, 2024)

Observer-Based Environment Robust Control Barrier Functions for Safety-critical Control with Dynamic Obstacles - Ying Shuai Quan; Jian Zhou; Erik Frisk; Chung Choo Chung (CoRR, 2024)

Neural Network-Based Piecewise Survival Models - Olov Holmer; Erik Frisk; Mattias Krysander (CoRR, 2024)

Usage-Specific Survival Modeling Based on Operational Data and Neural Networks - Olov Holmer; Mattias Krysander; Erik Frisk (CoRR, 2024)

A Preprocessing and Evaluation Toolbox for Trajectory Prediction Research on the Drone Datasets - Theodor Westny; Björn Olofsson; Erik Frisk (CoRR, 2024)

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

Uncertainty-Aware Decision-Making and Planning for Autonomous Forced Merging - Jian Zhou; Yulong Gao; Björn Olofsson; Erik Frisk (CoRR, 2024)

MTP-GO: Graph-Based Probabilistic Multi-Agent Trajectory Prediction With Neural ODEs - Theodor Westny; Joel Oskarsson; Björn Olofsson; Erik Frisk (IEEE Trans. Intell. Veh., 2023)

Evaluation of Differentially Constrained Motion Models for Graph-Based Trajectory Prediction - Theodor Westny; Joel Oskarsson; Björn Olofsson; Erik Frisk (IEEE Intelligent Vehicles Symposium, IV 2023, Anchorage, AK, USA, June 4-7, 2023, 2023)

Energy-Based Survival Models for Predictive Maintenance - Olov Holmer; Erik Frisk; Mattias Krysander (CoRR, 2023)

MTP-GO: Graph-Based Probabilistic Multi-Agent Trajectory Prediction with Neural ODEs - Theodor Westny; Joel Oskarsson; Björn Olofsson; Erik Frisk (CoRR, 2023)

Evaluation of Differentially Constrained Motion Models for Graph-Based Trajectory Prediction - Theodor Westny; Joel Oskarsson; Björn Olofsson; Erik Frisk (CoRR, 2023)

Uncertainties in Robust Planning and Control of Autonomous Tractor-Trailer Vehicles - Theodor Westny; Björn Olofsson; Erik Frisk (CoRR, 2023)

Stability-Informed Initialization of Neural Ordinary Differential Equations - Theodor Westny; Arman Mohammadi; Daniel Jung; Erik Frisk (CoRR, 2023)

Fault Diagnosability Analysis of Multi-Mode Systems - Fatemeh Hashemniya; Benoît Caillaud; Erik Frisk; Mattias Krysander; Mathias Malandain (CoRR, 2023)

Structural Diagnosability Analysis of Switched and Modular Battery Packs - Fatemeh Hashemniya; Arvind Balachandran; Erik Frisk; Mattias Krysander (CoRR, 2023)

Resilient Branching MPC for Multi-Vehicle Traffic Scenarios Using Adversarial Disturbance Sequences - Victor Fors; Björn Olofsson; Erik Frisk (IEEE Trans. Intell. Veh., 2022)

Interaction-Aware Moving Target Model Predictive Control for Autonomous Vehicles Motion Planning - Jian Zhou; Björn Olofsson; Erik Frisk (European Control Conference, ECC 2022, London, United Kingdom, July 12-15, 2022, 2022)

Interaction-Aware Motion Planning for Autonomous Vehicles with Multi-Modal Obstacle Uncertainties Using Model Predictive Control - Jian Zhou; Björn Olofsson; Erik Frisk (CoRR, 2022)

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

Distributed Cooperative MPC for Autonomous Driving in Different Traffic Scenarios - Fatemeh Mohseni; Erik Frisk; Lars Nielsen (IEEE Trans. Intell. Veh., 2021)

Spatio-Temporal Planning in Multi-Vehicle Scenarios for Autonomous Vehicle Using Support Vector Machines - Mahdi Morsali; Erik Frisk; Jan Åslund (IEEE Trans. Intell. Veh., 2021)

MPC-based energy management system design for a series HEV with battery life optimization - Iman Shafikhani; Christofer Sundström; Jan Åslund; Erik Frisk (2021 European Control Conference, ECC 2021, Virtual Event / Delft, The Netherlands, June 29 - July 2, 2021, 2021)

Vehicle Behavior Prediction and Generalization Using Imbalanced Learning Techniques - Theodor Westny; Erik Frisk; Björn Olofsson (24th IEEE International Intelligent Transportation Systems Conference, ITSC 2021, Indianapolis, IN, USA, September 19-22, 2021, 2021)

Geometrical Based Trajectory Calculation for Autonomous Vehicles in Multi- Vehicle Traffic Scenarios - Mahdi Morsali; Erik Frisk; Jan Åslund (IEEE Intelligent Vehicles Symposium, IV 2021, Nagoya, Japan, July 11-17, 2021, 2021)

Vehicle Behavior Prediction and Generalization Using Imbalanced Learning Techniques - Theodor Westny; Erik Frisk; Björn Olofsson (CoRR, 2021)

Resilient Branching MPC for Multi-Vehicle Traffic Scenarios Using Open-Loop Adversarial Disturbance Sequences - Victor Fors; Björn Olofsson; Erik Frisk (CoRR, 2021)

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

Design and Selection of Additional Residuals to Enhance Fault Isolation of a Turbocharged Spark Ignited Engine System - Kok Yew Ng; Erik Frisk; Mattias Krysander (7th International Conference on Control, Decision and Information Technologies, CoDIT 2020, Prague, Czech Republic, June 29 - July 2, 2020, 2020)

A Realistic Simulation Testbed of A Turbocharged Spark-Ignited Engine System: A Platform for the Evaluation of Fault Diagnosis Algorithms and Strategies - Kok Yew Ng; Erik Frisk; Mattias Krysander; L. Eriksson (CoRR, 2020)

Design and Selection of Additional Residuals To Enhance Fault Isolation of A Turbocharged Spark Ignited Engine System - Kok Yew Ng; Erik Frisk; Mattias Krysander (CoRR, 2020)

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

Extending Behavioral Models to Generate Mission-Based Driving Cycles for Data-Driven Vehicle Development - Sogol Kharrazi; Marcus Almen; Erik Frisk; Lars Nielsen (IEEE Trans. Veh. Technol., 2019)

Driving Behavior Categorization and Models for Generation of Mission-based Driving Cycles - Sogol Kharrazi; Erik Frisk; Lars Nielsen (2019 IEEE Intelligent Transportation Systems Conference, ITSC 2019, Auckland, New Zealand, October 27-30, 2019, 2019)

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

Real-time performance of DAE and ODE based estimators evaluated on a diesel engine - Erik Höckerdal; Erik Frisk; Lars Eriksson (Sci. China Inf. Sci., 2018)

Data-Driven Battery Lifetime Prediction and Confidence Estimation for Heavy-Duty Trucks - Sergii Voronov; Erik Frisk; Mattias Krysander (IEEE Trans. Reliab., 2018)

Lead-acid battery maintenance using multilayer perceptron models - Sergii Voronov; Erik Frisk; Mattias Krysander (2018 IEEE International Conference on Prognostics and Health Management, ICPHM 2018, Seattle, WA, USA, June 11-13, 2018, 2018)

Trajectory Planning for Autonomous Vehicles in Time Varying Environments Using Support Vector Machines - Mahdi Morsali; Jan Åslund; Erik Frisk (2018 IEEE Intelligent Vehicles Symposium, IV 2018, Changshu, Suzhou, China, June 26-30, 2018, 2018)

Deep Learning Model Predictive Control for Autonomous Driving in Unknown Environments - Fatemeh Mohseni; Sergii Voronov; Erik Frisk (12th IFAC Symposium on Robot Control, SyRoCo 2018, Budapest, Hungary, August 27-30, 2018, 2018)

Driving Cycle Equivalence and Transformation - Peter Nyberg; Erik Frisk; Lars Nielsen (IEEE Trans. Veh. Technol., 2017)

Deterministic path planning for non-holonomic vehicles including friction and steer rate limitations - Mahdi Morsali; Fatemeh Mohseni; Erik Frisk (2017 IEEE International Conference on Vehicular Electronics and Safety, ICVES 2017, Vienna, Austria, June 27-28, 2017, 2017)

Real-time velocity planning for heavy duty truck with obstacle avoidance - Mahdi Morsali; Erik Frisk; Jan Åslund (IEEE Intelligent Vehicles Symposium, IV 2017, Los Angeles, CA, USA, June 11-14, 2017, 2017)

Fuel and comfort efficient cooperative control for autonomous vehicles - Fatemeh Mohseni; Jan Åslund; Erik Frisk; Lars Nielsen (IEEE Intelligent Vehicles Symposium, IV 2017, Los Angeles, CA, USA, June 11-14, 2017, 2017)

Diagnostic Method Combining the Lookup Tables and Fault Models Applied on a Hybrid Electric Vehicle - Christofer Sundström; Erik Frisk; Lars Nielsen (IEEE Trans. Control. Syst. Technol., 2016)

Using Real-World Driving Databases to Generate Driving Cycles With Equivalence Properties - Peter Nyberg; Erik Frisk; Lars Nielsen (IEEE Trans. Veh. Technol., 2016)

A new electric machine model and its relevance for vehicle level diagnosis - Christofer Sundström; Erik Frisk; Lars Nielsen (Int. J. Model. Identif. Control., 2015)

Selecting and Utilizing Sequential Residual Generators in FDI Applied to Hybrid Vehicles - Christofer Sundström; Erik Frisk; Lars Nielsen (IEEE Trans. Syst. Man Cybern. Syst., 2014)

Robust residual selection for fault detection - Hamed Khorasgani; Daniel E. Jung; Gautam Biswas; Erik Frisk; Mattias Krysander (53rd IEEE Conference on Decision and Control, CDC 2014, Los Angeles, CA, USA, December 15-17, 2014, 2014)

A method for quantitative fault diagnosability analysis of stochastic linear descriptor models - Daniel Eriksson; Erik Frisk; Mattias Krysander (Autom., 2013)

Realizability Constrained Selection of Residual Generators for Fault Diagnosis With an Automotive Engine Application - Carl Svärd; Mattias Nyberg; Erik Frisk (IEEE Trans. Syst. Man Cybern. Syst., 2013)

Fault Diagnosis Based on Causal Computations - Albert Rosich; Erik Frisk; Jan Åslund; Ramon Sarrate; Fatiha Nejjari (IEEE Trans. Syst. Man Cybern. Part A, 2012)

Diagnosability Analysis Considering Causal Interpretations for Differential Constraints - Erik Frisk; Aníbal Bregón; Jan Åslund; Mattias Krysander; Belarmino Pulido; Gautam Biswas (IEEE Trans. Syst. Man Cybern. Part A, 2012)

Distributed Diagnosis Using a Condensed Representation of Diagnoses With Application to an Automotive Vehicle - Jonas Biteus; Erik Frisk; Mattias Nyberg (IEEE Trans. Syst. Man Cybern. Part A, 2011)

A data-driven and probabilistic approach to residual evaluation for fault diagnosis - Carl Svärd; Mattias Nyberg; Erik Frisk; Mattias Krysander (50th IEEE Conference on Decision and Control and European Control Conference, 11th European Control Conference, CDC/ECC 2011, Orlando, FL, USA, December 12-15, 2011, 2011)

Quantitative stochastic fault diagnosability analysis - Daniel Eriksson; Mattias Krysander; Erik Frisk (50th IEEE Conference on Decision and Control and European Control Conference, 11th European Control Conference, CDC/ECC 2011, Orlando, FL, USA, December 12-15, 2011, 2011)

Bias reduction in DAE estimators by model augmentation: Observability analysis and experimental evaluation - Erik Höckerdal; Erik Frisk; Lars Eriksson (50th IEEE Conference on Decision and Control and European Control Conference, 11th European Control Conference, CDC/ECC 2011, Orlando, FL, USA, December 12-15, 2011, 2011)

FlexDx: A reconfigurable diagnosis framework - Mattias Krysander; Fredrik Heintz; Jacob Roll; Erik Frisk (Eng. Appl. Artif. Intell., 2010)

Sensor placement for fault isolation in linear differential-algebraic systems - Erik Frisk; Mattias Krysander; Jan Åslund (Autom., 2009)

Determining the fault status of a component and its readiness, with a distributed automotive application - Jonas Biteus; Mattias Nyberg; Erik Frisk; Jan Åslund (Eng. Appl. Artif. Intell., 2009)

An algorithm for computing the diagnoses with minimal cardinality in a distributed system - Jonas Biteus; Mattias Nyberg; Erik Frisk (Eng. Appl. Artif. Intell., 2008)

Sensor Placement for Fault Diagnosis - Mattias Krysander; Erik Frisk (IEEE Trans. Syst. Man Cybern. Part A, 2008)

Dynamic test selection for reconfigurable diagnosis - Mattias Krysander; Fredrik Heintz; Jacob Roll; Erik Frisk (Proceedings of the 47th IEEE Conference on Decision and Control, CDC 2008, December 9-11, 2008, Cancún, Mexico, 2008)

Robust residual generation for diagnosis including a reference model for residual behavior - Erik Frisk; Lars Nielsen (Autom., 2006)

An observer for non-linear differential-algebraic systems - Jan Åslund; Erik Frisk (Autom., 2006)

Residual Generation for Fault Diagnosis of Systems Described by Linear Differential-Algebraic Equations - Mattias Nyberg; Erik Frisk (IEEE Trans. Autom. Control., 2006)

Lowering orders of derivatives in non-linear residual generation using realization theory - Erik Frisk; Jan Åslund (Autom., 2005)

Residual generation for fault diagnosis - Erik Frisk (Linköping University, Sweden, 2001)

A minimal polynomial basis solution to residual generation for fault diagnosis in linear systems - Erik Frisk; Mattias Nyberg (Autom., 2001)

Residual generation in linear stochastic systems-a polynomial approach - Erik Frisk (40th IEEE Conference on Decision and Control, CDC 2001, Orlando, FL, USA, 4-7 Dec., 2001, 2001)

Using minimal polynomial bases for fault diagnosis - Erik Frisk; Mattias Nyberg (5th European Control Conference, ECC 1999, Karlsruhe, Germany, August 31 - September 3, 1999, 1999)