Erik Frisk - RankMe

93 papers A* 1B 3C 4Journal 67Unranked 17

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Boundary adaptive observer design for semilinear hyperbolic rolling contact ODE-PDE systems with uncertain friction. CoRR Luigi Romano, Ole Morten Aamo, Miroslav Krstic, Jan Åslund, Erik Frisk
2026	—	`conf`	Designing for Public HRI: Reflections on an Iterative Robot Sound and Motion Design Process. HRI Companion Hannah Pelikan, Karin Stendahl, Franziska Babel, Ola Johansson, Erik Frisk
2026	J	`jnl`	First-order friction models with bristle dynamics: lumped and distributed formulations. CoRR Luigi Romano, Ole Morten Aamo, Jan Åslund, Erik Frisk
2026	J	`jnl`	Grid-Constrained Smart Charging of Large EV Fleets: Comparative Study of Sequential DP and a Full Fleet Solver. CoRR Ipek Kuvvetli, Christofer Sundström, Sogol Kharrazi, Erik Frisk
2026	J	`jnl`	Inverse-dynamics observer design for a linear single-track vehicle model with distributed tire dynamics. CoRR Luigi Romano, Ole Morten Aamo, Jan Åslund, Erik Frisk
2026	J	`jnl`	Lateral tracking control of all-wheel steering vehicles with intelligent tires. CoRR Luigi Romano, Ole Morten Aamo, Jan Åslund, Erik Frisk
2026	J	`jnl`	Linear viscoelastic rheological FrBD models. CoRR Luigi Romano, Ole Morten Aamo, Jan Åslund, Erik Frisk
2026	J	`jnl`	Passivity-exploiting stabilization of semilinear single-track vehicle models with distributed tire friction dynamics. CoRR Luigi Romano, Ole Morten Aamo, Miroslav Krstic, Jan Åslund, Erik Frisk
2026	J	`jnl`	Semilinear single-track vehicle models with distributed tyre friction dynamics. CoRR Luigi Romano, Ole Morten Aamo, Jan Åslund, Erik Frisk
2026	J	`jnl`	Stability and stabilization of semilinear single-track vehicle models with distributed tire friction dynamics via singular perturbation analysis. CoRR Luigi Romano, Ole Morten Aamo, Miroslav Krstic, Jan Åslund, Erik Frisk
2025	J	`jnl`	An improved 2D time-to-collision for articulated vehicles: predicting sideswipe and rear-end collisions. CoRR Abhijeet Behera, Sogol Kharrazi, Erik Frisk, Maytheewat Aramrattana
2025	—	`conf`	Behavior-Aware Online Prediction of Obstacle Occupancy using Zonotopes. CDC Alvaro Carrizosa-Rendon, Jian Zhou, Erik Frisk, Vicenç Puig, Fatiha Nejjari
2025	J	`jnl`	Behavior-Aware Online Prediction of Obstacle Occupancy using Zonotopes. CoRR Alvaro Carrizosa-Rendon, Jian Zhou, Erik Frisk, Vicenç Puig, Fatiha Nejjari
2025	J	`jnl`	Observer-Based Environment Robust Control Barrier Functions for Safety-Critical Control With Dynamic Obstacles. IEEE Control. Syst. Lett. Ying Shuai Quan, Jian Zhou, Erik Frisk, Chung Choo Chung
2025	J	`jnl`	Probabilistic Machine Learning for Uncertainty-Aware Diagnosis of Industrial Systems. CoRR Arman Mohammadi, Mattias Krysander, Daniel Jung, Erik Frisk
2025	J	`jnl`	Robust Predictive Motion Planning by Learning Obstacle Uncertainty. IEEE Trans. Control. Syst. Technol. Jian Zhou, Yulong Gao, Ola Johansson, Björn Olofsson, Erik Frisk
2025	J	`jnl`	Stability and Dissipativity of the Distributed LuGre Friction Model. IEEE Control. Syst. Lett. Luigi Romano, Ole Morten Aamo, Jan Åslund, Erik Frisk
2024	J	`jnl`	A Preprocessing and Evaluation Toolbox for Trajectory Prediction Research on the Drone Datasets. CoRR Theodor Westny, Björn Olofsson, Erik Frisk
2024	J	`jnl`	Diffusion-Based Environment-Aware Trajectory Prediction. CoRR Theodor Westny, Björn Olofsson, Erik Frisk
2024	C	`conf`	Homotopic Optimization for Autonomous Vehicle Maneuvering. IV Jian Zhou, Arvind Balachandran, Björn Olofsson, Lars Nielsen, Erik Frisk
2024	J	`jnl`	Interaction-Aware Motion Planning for Autonomous Vehicles With Multi-Modal Obstacle Uncertainty Predictions. IEEE Trans. Intell. Veh. Jian Zhou, Björn Olofsson, Erik Frisk
2024	J	`jnl`	Neural Network-Based Piecewise Survival Models. CoRR Olov Holmer, Erik Frisk, Mattias Krysander
2024	J	`jnl`	Observer-Based Environment Robust Control Barrier Functions for Safety-critical Control with Dynamic Obstacles. CoRR Ying Shuai Quan, Jian Zhou, Erik Frisk, Chung Choo Chung
2024	J	`jnl`	Robust Predictive Motion Planning by Learning Obstacle Uncertainty. CoRR Jian Zhou, Yulong Gao, Ola Johansson, Björn Olofsson, Erik Frisk
2024	A*	`conf`	Stability-Informed Initialization of Neural Ordinary Differential Equations. ICML Theodor Westny, Arman Mohammadi, Daniel Jung, Erik Frisk
2024	J	`jnl`	The LiU-ICE Benchmark - An Industrial Fault Diagnosis Case Study. CoRR Daniel Jung, Erik Frisk, Mattias Krysander
2024	—	`conf`	Uncertainty-Aware Decision-Making and Planning for Autonomous Forced Merging. CDC Jian Zhou, Yulong Gao, Björn Olofsson, Erik Frisk
2024	J	`jnl`	Uncertainty-Aware Decision-Making and Planning for Autonomous Forced Merging. CoRR Jian Zhou, Yulong Gao, Björn Olofsson, Erik Frisk
2024	J	`jnl`	Usage-Specific Survival Modeling Based on Operational Data and Neural Networks. CoRR Olov Holmer, Mattias Krysander, Erik Frisk
2023	J	`jnl`	Energy-Based Survival Models for Predictive Maintenance. CoRR Olov Holmer, Erik Frisk, Mattias Krysander
2023	C	`conf`	Evaluation of Differentially Constrained Motion Models for Graph-Based Trajectory Prediction. IV Theodor Westny, Joel Oskarsson, Björn Olofsson, Erik Frisk
2023	J	`jnl`	Evaluation of Differentially Constrained Motion Models for Graph-Based Trajectory Prediction. CoRR Theodor Westny, Joel Oskarsson, Björn Olofsson, Erik Frisk
2023	J	`jnl`	Fault Diagnosability Analysis of Multi-Mode Systems. CoRR Fatemeh Hashemniya, Benoît Caillaud, Erik Frisk, Mattias Krysander, Mathias Malandain
2023	J	`jnl`	MTP-GO: Graph-Based Probabilistic Multi-Agent Trajectory Prediction With Neural ODEs. IEEE Trans. Intell. Veh. Theodor Westny, Joel Oskarsson, Björn Olofsson, Erik Frisk
2023	J	`jnl`	MTP-GO: Graph-Based Probabilistic Multi-Agent Trajectory Prediction with Neural ODEs. CoRR Theodor Westny, Joel Oskarsson, Björn Olofsson, Erik Frisk
2023	J	`jnl`	Stability-Informed Initialization of Neural Ordinary Differential Equations. CoRR Theodor Westny, Arman Mohammadi, Daniel Jung, Erik Frisk
2023	J	`jnl`	Structural Diagnosability Analysis of Switched and Modular Battery Packs. CoRR Fatemeh Hashemniya, Arvind Balachandran, Erik Frisk, Mattias Krysander
2023	J	`jnl`	Uncertainties in Robust Planning and Control of Autonomous Tractor-Trailer Vehicles. CoRR Theodor Westny, Björn Olofsson, Erik Frisk
2022	J	`jnl`	Interaction-Aware Motion Planning for Autonomous Vehicles with Multi-Modal Obstacle Uncertainties Using Model Predictive Control. CoRR Jian Zhou, Björn Olofsson, Erik Frisk
2022	—	`conf`	Interaction-Aware Moving Target Model Predictive Control for Autonomous Vehicles Motion Planning. ECC Jian Zhou, Björn Olofsson, Erik Frisk
2022	J	`jnl`	Resilient Branching MPC for Multi-Vehicle Traffic Scenarios Using Adversarial Disturbance Sequences. IEEE Trans. Intell. Veh. Victor Fors, Björn Olofsson, Erik Frisk
2021	J	`jnl`	A forest-based algorithm for selecting informative variables using Variable Depth Distribution. Eng. Appl. Artif. Intell. Sergii Voronov, Daniel Jung, Erik Frisk
2021	J	`jnl`	Distributed Cooperative MPC for Autonomous Driving in Different Traffic Scenarios. IEEE Trans. Intell. Veh. Fatemeh Mohseni, Erik Frisk, Lars Nielsen
2021	C	`conf`	Geometrical Based Trajectory Calculation for Autonomous Vehicles in Multi- Vehicle Traffic Scenarios. IV Mahdi Morsali, Erik Frisk, Jan Åslund
2021	—	`conf`	MPC-based energy management system design for a series HEV with battery life optimization. ECC Iman Shafikhani, Christofer Sundström, Jan Åslund, Erik Frisk
2021	J	`jnl`	Resilient Branching MPC for Multi-Vehicle Traffic Scenarios Using Open-Loop Adversarial Disturbance Sequences. CoRR Victor Fors, Björn Olofsson, Erik Frisk
2021	J	`jnl`	Spatio-Temporal Planning in Multi-Vehicle Scenarios for Autonomous Vehicle Using Support Vector Machines. IEEE Trans. Intell. Veh. Mahdi Morsali, Erik Frisk, Jan Åslund
2021	—	`conf`	Vehicle Behavior Prediction and Generalization Using Imbalanced Learning Techniques. ITSC Theodor Westny, Erik Frisk, Björn Olofsson
2021	J	`jnl`	Vehicle Behavior Prediction and Generalization Using Imbalanced Learning Techniques. CoRR Theodor Westny, Erik Frisk, Björn Olofsson
2020	J	`jnl`	A Realistic Simulation Testbed of A Turbocharged Spark-Ignited Engine System: A Platform for the Evaluation of Fault Diagnosis Algorithms and Strategies. CoRR Kok Yew Ng, Erik Frisk, Mattias Krysander, L. Eriksson
2020	J	`jnl`	Design and Selection of Additional Residuals To Enhance Fault Isolation of A Turbocharged Spark Ignited Engine System. CoRR Kok Yew Ng, Erik Frisk, Mattias Krysander
2020	C	`conf`	Design and Selection of Additional Residuals to Enhance Fault Isolation of a Turbocharged Spark Ignited Engine System. CoDIT Kok Yew Ng, Erik Frisk, Mattias Krysander
2020	J	`jnl`	Sensor selection for fault diagnosis in uncertain systems. Int. J. Control Daniel Jung, Yi Dong, Erik Frisk, Mattias Krysander, Gautam Biswas
2019	J	`jnl`	Asymptotic behavior of a fault diagnosis performance measure for linear systems. Autom. Jan Åslund, Erik Frisk, Daniel Jung
2019	—	`conf`	Driving Behavior Categorization and Models for Generation of Mission-based Driving Cycles. ITSC Sogol Kharrazi, Erik Frisk, Lars Nielsen
2019	J	`jnl`	Extending Behavioral Models to Generate Mission-Based Driving Cycles for Data-Driven Vehicle Development. IEEE Trans. Veh. Technol. Sogol Kharrazi, Marcus Almen, Erik Frisk, Lars Nielsen
2018	J	`jnl`	Data-Driven Battery Lifetime Prediction and Confidence Estimation for Heavy-Duty Trucks. IEEE Trans. Reliab. Sergii Voronov, Erik Frisk, Mattias Krysander
2018	—	`conf`	Deep Learning Model Predictive Control for Autonomous Driving in Unknown Environments. SyRoCo Fatemeh Mohseni, Sergii Voronov, Erik Frisk
2018	—	`conf`	Lead-acid battery maintenance using multilayer perceptron models. ICPHM Sergii Voronov, Erik Frisk, Mattias Krysander
2018	J	`jnl`	Real-time performance of DAE and ODE based estimators evaluated on a diesel engine. Sci. China Inf. Sci. Erik Höckerdal, Erik Frisk, Lars Eriksson
2018	J	`jnl`	Residual selection for fault detection and isolation using convex optimization. Autom. Daniel Jung, Erik Frisk
2018	B	`conf`	Trajectory Planning for Autonomous Vehicles in Time Varying Environments Using Support Vector Machines. Intelligent Vehicles Symposium Mahdi Morsali, Jan Åslund, Erik Frisk
2017	—	`conf`	Deterministic path planning for non-holonomic vehicles including friction and steer rate limitations. ICVES Mahdi Morsali, Fatemeh Mohseni, Erik Frisk
2017	J	`jnl`	Driving Cycle Equivalence and Transformation. IEEE Trans. Veh. Technol. Peter Nyberg, Erik Frisk, Lars Nielsen
2017	B	`conf`	Fuel and comfort efficient cooperative control for autonomous vehicles. Intelligent Vehicles Symposium Fatemeh Mohseni, Jan Åslund, Erik Frisk, Lars Nielsen
2017	B	`conf`	Real-time velocity planning for heavy duty truck with obstacle avoidance. Intelligent Vehicles Symposium Mahdi Morsali, Erik Frisk, Jan Åslund
2016	J	`jnl`	Diagnostic Method Combining the Lookup Tables and Fault Models Applied on a Hybrid Electric Vehicle. IEEE Trans. Control. Syst. Technol. Christofer Sundström, Erik Frisk, Lars Nielsen
2016	J	`jnl`	Using Real-World Driving Databases to Generate Driving Cycles With Equivalence Properties. IEEE Trans. Veh. Technol. Peter Nyberg, Erik Frisk, Lars Nielsen
2015	J	`jnl`	A new electric machine model and its relevance for vehicle level diagnosis. Int. J. Model. Identif. Control. Christofer Sundström, Erik Frisk, Lars Nielsen
2014	—	`conf`	Robust residual selection for fault detection. CDC Hamed Khorasgani, Daniel E. Jung, Gautam Biswas, Erik Frisk, Mattias Krysander
2014	J	`jnl`	Selecting and Utilizing Sequential Residual Generators in FDI Applied to Hybrid Vehicles. IEEE Trans. Syst. Man Cybern. Syst. Christofer Sundström, Erik Frisk, Lars Nielsen
2013	J	`jnl`	A method for quantitative fault diagnosability analysis of stochastic linear descriptor models. Autom. Daniel Eriksson, Erik Frisk, Mattias Krysander
2013	J	`jnl`	Realizability Constrained Selection of Residual Generators for Fault Diagnosis With an Automotive Engine Application. IEEE Trans. Syst. Man Cybern. Syst. Carl Svärd, Mattias Nyberg, Erik Frisk
2012	J	`jnl`	Diagnosability Analysis Considering Causal Interpretations for Differential Constraints. IEEE Trans. Syst. Man Cybern. Part A Erik Frisk, Aníbal Bregón, Jan Åslund, Mattias Krysander, Belarmino Pulido, Gautam Biswas
2012	J	`jnl`	Fault Diagnosis Based on Causal Computations. IEEE Trans. Syst. Man Cybern. Part A Albert Rosich, Erik Frisk, Jan Åslund, Ramon Sarrate, Fatiha Nejjari
2011	—	`conf`	A data-driven and probabilistic approach to residual evaluation for fault diagnosis. CDC/ECC Carl Svärd, Mattias Nyberg, Erik Frisk, Mattias Krysander
2011	—	`conf`	Bias reduction in DAE estimators by model augmentation: Observability analysis and experimental evaluation. CDC/ECC Erik Höckerdal, Erik Frisk, Lars Eriksson
2011	J	`jnl`	Distributed Diagnosis Using a Condensed Representation of Diagnoses With Application to an Automotive Vehicle. IEEE Trans. Syst. Man Cybern. Part A Jonas Biteus, Erik Frisk, Mattias Nyberg
2011	—	`conf`	Quantitative stochastic fault diagnosability analysis. CDC/ECC Daniel Eriksson, Mattias Krysander, Erik Frisk
2010	J	`jnl`	FlexDx: A reconfigurable diagnosis framework. Eng. Appl. Artif. Intell. Mattias Krysander, Fredrik Heintz, Jacob Roll, Erik Frisk
2009	J	`jnl`	Determining the fault status of a component and its readiness, with a distributed automotive application. Eng. Appl. Artif. Intell. Jonas Biteus, Mattias Nyberg, Erik Frisk, Jan Åslund
2009	J	`jnl`	Sensor placement for fault isolation in linear differential-algebraic systems. Autom. Erik Frisk, Mattias Krysander, Jan Åslund
2008	J	`jnl`	An algorithm for computing the diagnoses with minimal cardinality in a distributed system. Eng. Appl. Artif. Intell. Jonas Biteus, Mattias Nyberg, Erik Frisk
2008	—	`conf`	Dynamic test selection for reconfigurable diagnosis. CDC Mattias Krysander, Fredrik Heintz, Jacob Roll, Erik Frisk
2008	J	`jnl`	Sensor Placement for Fault Diagnosis. IEEE Trans. Syst. Man Cybern. Part A Mattias Krysander, Erik Frisk
2006	J	`jnl`	An observer for non-linear differential-algebraic systems. Autom. Jan Åslund, Erik Frisk
2006	J	`jnl`	Residual Generation for Fault Diagnosis of Systems Described by Linear Differential-Algebraic Equations. IEEE Trans. Autom. Control. Mattias Nyberg, Erik Frisk
2006	J	`jnl`	Robust residual generation for diagnosis including a reference model for residual behavior. Autom. Erik Frisk, Lars Nielsen
2005	J	`jnl`	Lowering orders of derivatives in non-linear residual generation using realization theory. Autom. Erik Frisk, Jan Åslund
2001	J	`jnl`	A minimal polynomial basis solution to residual generation for fault diagnosis in linear systems. Autom. Erik Frisk, Mattias Nyberg
2001	—	`—`	Residual generation for fault diagnosis. Erik Frisk
2001	—	`conf`	Residual generation in linear stochastic systems-a polynomial approach. CDC Erik Frisk
1999	—	`conf`	Using minimal polynomial bases for fault diagnosis. ECC Erik Frisk, Mattias Nyberg