Erik Frisk

Publication Activity (10 Years)

Years Active: 1999-2024
Publications (10 Years): 47

Top Topics

Fault Diagnosis

Autonomous Vehicles

Predictive Control

Top Venues

IEEE Trans. Intell. Veh.

IEEE Trans. Veh. Technol.

Publications

Olov Holmer, Mattias Krysander, Erik Frisk
Usage-Specific Survival Modeling Based on Operational Data and Neural Networks. CoRR (2024)
Theodor Westny, Björn Olofsson, Erik Frisk
A Preprocessing and Evaluation Toolbox for Trajectory Prediction Research on the Drone Datasets. CoRR (2024)
Ying Shuai Quan, Jian Zhou, Erik Frisk, Chung Choo Chung
Observer-Based Environment Robust Control Barrier Functions for Safety-critical Control with Dynamic Obstacles. CoRR (2024)
Jian Zhou, Yulong Gao, Ola Johansson, Björn Olofsson, Erik Frisk
Robust Predictive Motion Planning by Learning Obstacle Uncertainty. CoRR (2024)
Jian Zhou, Björn Olofsson, Erik Frisk
Interaction-Aware Motion Planning for Autonomous Vehicles With Multi-Modal Obstacle Uncertainty Predictions. IEEE Trans. Intell. Veh. 9 (1) (2024)
Jian Zhou, Arvind Balachandran, Björn Olofsson, Lars Nielsen, Erik Frisk
Homotopic Optimization for Autonomous Vehicle Maneuvering. IV (2024)
Olov Holmer, Erik Frisk, Mattias Krysander
Neural Network-Based Piecewise Survival Models. CoRR (2024)
Theodor Westny, Björn Olofsson, Erik Frisk
Diffusion-Based Environment-Aware Trajectory Prediction. CoRR (2024)
Theodor Westny, Björn Olofsson, Erik Frisk
Uncertainties in Robust Planning and Control of Autonomous Tractor-Trailer Vehicles. CoRR (2023)
Fatemeh Hashemniya, Benoît Caillaud, Erik Frisk, Mattias Krysander, Mathias Malandain
Fault Diagnosability Analysis of Multi-Mode Systems. CoRR (2023)
Theodor Westny, Arman Mohammadi, Daniel Jung, Erik Frisk
Stability-Informed Initialization of Neural Ordinary Differential Equations. CoRR (2023)
Theodor Westny, Joel Oskarsson, Björn Olofsson, Erik Frisk
Evaluation of Differentially Constrained Motion Models for Graph-Based Trajectory Prediction. IV (2023)
Theodor Westny, Joel Oskarsson, Björn Olofsson, Erik Frisk
Evaluation of Differentially Constrained Motion Models for Graph-Based Trajectory Prediction. CoRR (2023)
Fatemeh Hashemniya, Arvind Balachandran, Erik Frisk, Mattias Krysander
Structural Diagnosability Analysis of Switched and Modular Battery Packs. CoRR (2023)
Theodor Westny, Joel Oskarsson, Björn Olofsson, Erik Frisk
MTP-GO: Graph-Based Probabilistic Multi-Agent Trajectory Prediction With Neural ODEs. IEEE Trans. Intell. Veh. 8 (9) (2023)
Olov Holmer, Erik Frisk, Mattias Krysander
Energy-Based Survival Models for Predictive Maintenance. CoRR (2023)
Theodor Westny, Joel Oskarsson, Björn Olofsson, Erik Frisk
MTP-GO: Graph-Based Probabilistic Multi-Agent Trajectory Prediction with Neural ODEs. CoRR (2023)
Jian Zhou, Björn Olofsson, Erik Frisk
Interaction-Aware Motion Planning for Autonomous Vehicles with Multi-Modal Obstacle Uncertainties Using Model Predictive Control. CoRR (2022)
Jian Zhou, Björn Olofsson, Erik Frisk
Interaction-Aware Moving Target Model Predictive Control for Autonomous Vehicles Motion Planning. ECC (2022)
Victor Fors, Björn Olofsson, Erik Frisk
Resilient Branching MPC for Multi-Vehicle Traffic Scenarios Using Adversarial Disturbance Sequences. IEEE Trans. Intell. Veh. 7 (4) (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)
Mahdi Morsali, Erik Frisk, Jan Åslund
Geometrical Based Trajectory Calculation for Autonomous Vehicles in Multi- Vehicle Traffic Scenarios. IV (2021)
Theodor Westny, Erik Frisk, Björn Olofsson
Vehicle Behavior Prediction and Generalization Using Imbalanced Learning Techniques. CoRR (2021)
Theodor Westny, Erik Frisk, Björn Olofsson
Vehicle Behavior Prediction and Generalization Using Imbalanced Learning Techniques. ITSC (2021)
Victor Fors, Björn Olofsson, Erik Frisk
Resilient Branching MPC for Multi-Vehicle Traffic Scenarios Using Open-Loop Adversarial Disturbance Sequences. CoRR (2021)
Mahdi Morsali, Erik Frisk, Jan Åslund
Spatio-Temporal Planning in Multi-Vehicle Scenarios for Autonomous Vehicle Using Support Vector Machines. IEEE Trans. Intell. Veh. 6 (4) (2021)
Fatemeh Mohseni, Erik Frisk, Lars Nielsen
Distributed Cooperative MPC for Autonomous Driving in Different Traffic Scenarios. IEEE Trans. Intell. Veh. 6 (2) (2021)
Iman Shafikhani, Christofer Sundström, Jan Åslund, Erik Frisk
MPC-based energy management system design for a series HEV with battery life optimization. ECC (2021)
Kok Yew Ng, Erik Frisk, Mattias Krysander
Design and Selection of Additional Residuals to Enhance Fault Isolation of a Turbocharged Spark Ignited Engine System. CoDIT (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)
Kok Yew Ng, Erik Frisk, Mattias Krysander
Design and Selection of Additional Residuals To Enhance Fault Isolation of A Turbocharged Spark Ignited Engine System. CoRR (2020)
Kok Yew Ng, Erik Frisk, Mattias Krysander, L. Eriksson
A Realistic Simulation Testbed of A Turbocharged Spark-Ignited Engine System: A Platform for the Evaluation of Fault Diagnosis Algorithms and Strategies. CoRR (2020)
Sogol Kharrazi, Marcus Almen, Erik Frisk, Lars Nielsen
Extending Behavioral Models to Generate Mission-Based Driving Cycles for Data-Driven Vehicle Development. IEEE Trans. Veh. Technol. 68 (2) (2019)
Sogol Kharrazi, Erik Frisk, Lars Nielsen
Driving Behavior Categorization and Models for Generation of Mission-based Driving Cycles. ITSC (2019)
Jan Åslund, Erik Frisk, Daniel Jung
Asymptotic behavior of a fault diagnosis performance measure for linear systems. Autom. 106 (2019)
Mahdi Morsali, Jan Åslund, Erik Frisk
Trajectory Planning for Autonomous Vehicles in Time Varying Environments Using Support Vector Machines. Intelligent Vehicles Symposium (2018)
Fatemeh Mohseni, Sergii Voronov, Erik Frisk
Deep Learning Model Predictive Control for Autonomous Driving in Unknown Environments. SyRoCo (2018)
Sergii Voronov, Erik Frisk, Mattias Krysander
Data-Driven Battery Lifetime Prediction and Confidence Estimation for Heavy-Duty Trucks. IEEE Trans. Reliab. 67 (2) (2018)
Daniel Jung, Erik Frisk
Residual selection for fault detection and isolation using convex optimization. Autom. 97 (2018)
Erik Höckerdal, Erik Frisk, Lars Eriksson
Real-time performance of DAE and ODE based estimators evaluated on a diesel engine. Sci. China Inf. Sci. 61 (7) (2018)
Sergii Voronov, Erik Frisk, Mattias Krysander
Lead-acid battery maintenance using multilayer perceptron models. ICPHM (2018)
Mahdi Morsali, Fatemeh Mohseni, Erik Frisk
Deterministic path planning for non-holonomic vehicles including friction and steer rate limitations. ICVES (2017)
Peter Nyberg, Erik Frisk, Lars Nielsen
Driving Cycle Equivalence and Transformation. IEEE Trans. Veh. Technol. 66 (3) (2017)
Mahdi Morsali, Erik Frisk, Jan Åslund
Real-time velocity planning for heavy duty truck with obstacle avoidance. Intelligent Vehicles Symposium (2017)
Fatemeh Mohseni, Jan Åslund, Erik Frisk, Lars Nielsen
Fuel and comfort efficient cooperative control for autonomous vehicles. Intelligent Vehicles Symposium (2017)
Peter Nyberg, Erik Frisk, Lars Nielsen
Using Real-World Driving Databases to Generate Driving Cycles With Equivalence Properties. IEEE Trans. Veh. Technol. 65 (6) (2016)
Christofer Sundström, Erik Frisk, Lars Nielsen
Diagnostic Method Combining the Lookup Tables and Fault Models Applied on a Hybrid Electric Vehicle. IEEE Trans. Control. Syst. Technol. 24 (3) (2016)
Christofer Sundström, Erik Frisk, Lars Nielsen
A new electric machine model and its relevance for vehicle level diagnosis. Int. J. Model. Identif. Control. 24 (1) (2015)
Hamed Khorasgani, Daniel E. Jung, Gautam Biswas, Erik Frisk, Mattias Krysander
Robust residual selection for fault detection. CDC (2014)
Christofer Sundström, Erik Frisk, Lars Nielsen
Selecting and Utilizing Sequential Residual Generators in FDI Applied to Hybrid Vehicles. IEEE Trans. Syst. Man Cybern. Syst. 44 (2) (2014)
Carl Svärd, Mattias Nyberg, Erik Frisk
Realizability Constrained Selection of Residual Generators for Fault Diagnosis With an Automotive Engine Application. IEEE Trans. Syst. Man Cybern. Syst. 43 (6) (2013)
Daniel Eriksson, Erik Frisk, Mattias Krysander
A method for quantitative fault diagnosability analysis of stochastic linear descriptor models. Autom. 49 (6) (2013)
Erik Frisk, Aníbal Bregón, Jan Åslund, Mattias Krysander, Belarmino Pulido, Gautam Biswas
Diagnosability Analysis Considering Causal Interpretations for Differential Constraints. IEEE Trans. Syst. Man Cybern. Part A 42 (5) (2012)
Albert Rosich, Erik Frisk, Jan Åslund, Ramon Sarrate, Fatiha Nejjari
Fault Diagnosis Based on Causal Computations. IEEE Trans. Syst. Man Cybern. Part A 42 (2) (2012)
Carl Svärd, Mattias Nyberg, Erik Frisk, Mattias Krysander
A data-driven and probabilistic approach to residual evaluation for fault diagnosis. CDC/ECC (2011)
Daniel Eriksson, Mattias Krysander, Erik Frisk
Quantitative stochastic fault diagnosability analysis. CDC/ECC (2011)
Jonas Biteus, Erik Frisk, Mattias Nyberg
Distributed Diagnosis Using a Condensed Representation of Diagnoses With Application to an Automotive Vehicle. IEEE Trans. Syst. Man Cybern. Part A 41 (6) (2011)
Erik Höckerdal, Erik Frisk, Lars Eriksson
Bias reduction in DAE estimators by model augmentation: Observability analysis and experimental evaluation. CDC/ECC (2011)
Mattias Krysander, Fredrik Heintz, Jacob Roll, Erik Frisk
FlexDx: A reconfigurable diagnosis framework. Eng. Appl. Artif. Intell. 23 (8) (2010)
Jonas Biteus, Mattias Nyberg, Erik Frisk, Jan Åslund
Determining the fault status of a component and its readiness, with a distributed automotive application. Eng. Appl. Artif. Intell. 22 (3) (2009)
Erik Frisk, Mattias Krysander, Jan Åslund
Sensor placement for fault isolation in linear differential-algebraic systems. Autom. 45 (2) (2009)
Jonas Biteus, Mattias Nyberg, Erik Frisk
An algorithm for computing the diagnoses with minimal cardinality in a distributed system. Eng. Appl. Artif. Intell. 21 (2) (2008)
Mattias Krysander, Fredrik Heintz, Jacob Roll, Erik Frisk
Dynamic test selection for reconfigurable diagnosis. CDC (2008)
Mattias Krysander, Erik Frisk
Sensor Placement for Fault Diagnosis. IEEE Trans. Syst. Man Cybern. Part A 38 (6) (2008)
Jan Åslund, Erik Frisk
An observer for non-linear differential-algebraic systems. Autom. 42 (6) (2006)
Mattias Nyberg, Erik Frisk
Residual Generation for Fault Diagnosis of Systems Described by Linear Differential-Algebraic Equations. IEEE Trans. Autom. Control. 51 (12) (2006)
Erik Frisk, Lars Nielsen
Robust residual generation for diagnosis including a reference model for residual behavior. Autom. 42 (3) (2006)
Erik Frisk, Jan Åslund
Lowering orders of derivatives in non-linear residual generation using realization theory. Autom. 41 (10) (2005)
Erik Frisk
Residual generation in linear stochastic systems-a polynomial approach. CDC (2001)
Erik Frisk, Mattias Nyberg
A minimal polynomial basis solution to residual generation for fault diagnosis in linear systems. Autom. 37 (9) (2001)
Erik Frisk, Mattias Nyberg
Using minimal polynomial bases for fault diagnosis. ECC (1999)