Erik Frisk

Orcid: 0000-0001-7349-1937

According to our database1, Erik Frisk authored at least 65 papers between 1999 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
Interaction-Aware Motion Planning for Autonomous Vehicles With Multi-Modal Obstacle Uncertainty Predictions.
IEEE Trans. Intell. Veh., January, 2024

Usage-Specific Survival Modeling Based on Operational Data and Neural Networks.
CoRR, 2024

Neural Network-Based Piecewise Survival Models.
CoRR, 2024

Observer-Based Environment Robust Control Barrier Functions for Safety-critical Control with Dynamic Obstacles.
CoRR, 2024

Diffusion-Based Environment-Aware Trajectory Prediction.
CoRR, 2024

Robust Predictive Motion Planning by Learning Obstacle Uncertainty.
CoRR, 2024

2023
MTP-GO: Graph-Based Probabilistic Multi-Agent Trajectory Prediction With Neural ODEs.
IEEE Trans. Intell. Veh., September, 2023

Structural Diagnosability Analysis of Switched and Modular Battery Packs.
CoRR, 2023

Fault Diagnosability Analysis of Multi-Mode Systems.
CoRR, 2023

Stability-Informed Initialization of Neural Ordinary Differential Equations.
CoRR, 2023

Uncertainties in Robust Planning and Control of Autonomous Tractor-Trailer Vehicles.
CoRR, 2023

Energy-Based Survival Models for Predictive Maintenance.
CoRR, 2023

Evaluation of Differentially Constrained Motion Models for Graph-Based Trajectory Prediction.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2023

2022
Resilient Branching MPC for Multi-Vehicle Traffic Scenarios Using Adversarial Disturbance Sequences.
IEEE Trans. Intell. Veh., 2022

Interaction-Aware Motion Planning for Autonomous Vehicles with Multi-Modal Obstacle Uncertainties Using Model Predictive Control.
CoRR, 2022

Interaction-Aware Moving Target Model Predictive Control for Autonomous Vehicles Motion Planning.
Proceedings of the European Control Conference, 2022

2021
Spatio-Temporal Planning in Multi-Vehicle Scenarios for Autonomous Vehicle Using Support Vector Machines.
IEEE Trans. Intell. Veh., 2021

Distributed Cooperative MPC for Autonomous Driving in Different Traffic Scenarios.
IEEE Trans. Intell. Veh., 2021

A forest-based algorithm for selecting informative variables using Variable Depth Distribution.
Eng. Appl. Artif. Intell., 2021

Resilient Branching MPC for Multi-Vehicle Traffic Scenarios Using Open-Loop Adversarial Disturbance Sequences.
CoRR, 2021

Geometrical Based Trajectory Calculation for Autonomous Vehicles in Multi- Vehicle Traffic Scenarios.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2021

Vehicle Behavior Prediction and Generalization Using Imbalanced Learning Techniques.
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

MPC-based energy management system design for a series HEV with battery life optimization.
Proceedings of the 2021 European Control Conference, 2021

2020
Sensor selection for fault diagnosis in uncertain systems.
Int. J. Control, 2020

A Realistic Simulation Testbed of A Turbocharged Spark-Ignited Engine System: A Platform for the Evaluation of Fault Diagnosis Algorithms and Strategies.
CoRR, 2020

Design and Selection of Additional Residuals to Enhance Fault Isolation of a Turbocharged Spark Ignited Engine System.
Proceedings of the 7th International Conference on Control, 2020

2019
Extending Behavioral Models to Generate Mission-Based Driving Cycles for Data-Driven Vehicle Development.
IEEE Trans. Veh. Technol., 2019

Asymptotic behavior of a fault diagnosis performance measure for linear systems.
Autom., 2019

Driving Behavior Categorization and Models for Generation of Mission-based Driving Cycles.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

2018
Data-Driven Battery Lifetime Prediction and Confidence Estimation for Heavy-Duty Trucks.
IEEE Trans. Reliab., 2018

Real-time performance of DAE and ODE based estimators evaluated on a diesel engine.
Sci. China Inf. Sci., 2018

Residual selection for fault detection and isolation using convex optimization.
Autom., 2018

Deep Learning Model Predictive Control for Autonomous Driving in Unknown Environments.
Proceedings of the 12th IFAC Symposium on Robot Control, 2018

Trajectory Planning for Autonomous Vehicles in Time Varying Environments Using Support Vector Machines.
Proceedings of the 2018 IEEE Intelligent Vehicles Symposium, 2018

Lead-acid battery maintenance using multilayer perceptron models.
Proceedings of the 2018 IEEE International Conference on Prognostics and Health Management, 2018

2017
Driving Cycle Equivalence and Transformation.
IEEE Trans. Veh. Technol., 2017

Real-time velocity planning for heavy duty truck with obstacle avoidance.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2017

Fuel and comfort efficient cooperative control for autonomous vehicles.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2017

Deterministic path planning for non-holonomic vehicles including friction and steer rate limitations.
Proceedings of the 2017 IEEE International Conference on Vehicular Electronics and Safety, 2017

2016
Using Real-World Driving Databases to Generate Driving Cycles With Equivalence Properties.
IEEE Trans. Veh. Technol., 2016

Diagnostic Method Combining the Lookup Tables and Fault Models Applied on a Hybrid Electric Vehicle.
IEEE Trans. Control. Syst. Technol., 2016

2015
A new electric machine model and its relevance for vehicle level diagnosis.
Int. J. Model. Identif. Control., 2015

2014
Selecting and Utilizing Sequential Residual Generators in FDI Applied to Hybrid Vehicles.
IEEE Trans. Syst. Man Cybern. Syst., 2014

Robust residual selection for fault detection.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

2013
Realizability Constrained Selection of Residual Generators for Fault Diagnosis With an Automotive Engine Application.
IEEE Trans. Syst. Man Cybern. Syst., 2013

A method for quantitative fault diagnosability analysis of stochastic linear descriptor models.
Autom., 2013

2012
Fault Diagnosis Based on Causal Computations.
IEEE Trans. Syst. Man Cybern. Part A, 2012

Diagnosability Analysis Considering Causal Interpretations for Differential Constraints.
IEEE Trans. Syst. Man Cybern. Part A, 2012

2011
Distributed Diagnosis Using a Condensed Representation of Diagnoses With Application to an Automotive Vehicle.
IEEE Trans. Syst. Man Cybern. Part A, 2011

A data-driven and probabilistic approach to residual evaluation for fault diagnosis.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

Bias reduction in DAE estimators by model augmentation: Observability analysis and experimental evaluation.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

Quantitative stochastic fault diagnosability analysis.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

2010
FlexDx: A reconfigurable diagnosis framework.
Eng. Appl. Artif. Intell., 2010

2009
Determining the fault status of a component and its readiness, with a distributed automotive application.
Eng. Appl. Artif. Intell., 2009

Sensor placement for fault isolation in linear differential-algebraic systems.
Autom., 2009

2008
Sensor Placement for Fault Diagnosis.
IEEE Trans. Syst. Man Cybern. Part A, 2008

An algorithm for computing the diagnoses with minimal cardinality in a distributed system.
Eng. Appl. Artif. Intell., 2008

Dynamic test selection for reconfigurable diagnosis.
Proceedings of the 47th IEEE Conference on Decision and Control, 2008

2006
Residual Generation for Fault Diagnosis of Systems Described by Linear Differential-Algebraic Equations.
IEEE Trans. Autom. Control., 2006

Robust residual generation for diagnosis including a reference model for residual behavior.
Autom., 2006

An observer for non-linear differential-algebraic systems.
Autom., 2006

2005
Lowering orders of derivatives in non-linear residual generation using realization theory.
Autom., 2005

2001
A minimal polynomial basis solution to residual generation for fault diagnosis in linear systems.
Autom., 2001

Residual generation in linear stochastic systems-a polynomial approach.
Proceedings of the 40th IEEE Conference on Decision and Control, 2001

1999
Using minimal polynomial bases for fault diagnosis.
Proceedings of the 5th European Control Conference, 1999


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