Dimitar P. Filev

Orcid: 0000-0001-7127-6782

Affiliations:
  • Ford Motor Company, Dearborn, MI, USA
  • Iona College, Machine Intelligence Institute, New Rochelle, NY, USA
  • Bulgarian Academy of Sciences, Sofia, Bulgaria


According to our database1, Dimitar P. Filev authored at least 164 papers between 1982 and 2024.

Collaborative distances:

Awards

IEEE Fellow

IEEE Fellow 2008, "For application of soft computing to intelligent systems".

Timeline

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Bibliography

2024
Toward Interpretable-AI Policies Using Evolutionary Nonlinear Decision Trees for Discrete-Action Systems.
IEEE Trans. Cybern., January, 2024

2023
Obituary Edwin Lughofer (1972-2023).
Evol. Syst., October, 2023

Potential Game-Based Decision-Making for Autonomous Driving.
IEEE Trans. Intell. Transp. Syst., August, 2023

Minimum-Time Trajectory Optimization With Data-Based Models: A Linear Programming Approach.
CoRR, 2023

Game Projection and Robustness for Game-Theoretic Autonomous Driving.
CoRR, 2023

A Comparison between Markov Chain and Koopman Operator Based Data-Driven Modeling of Dynamical Systems.
CoRR, 2023

Targeted collapse regularized autoencoder for anomaly detection: black hole at the center.
CoRR, 2023

KARNet: Kalman Filter Augmented Recurrent Neural Network for Learning World Models in Autonomous Driving Tasks.
CoRR, 2023

Experience-Based Evolutionary Algorithms for Expensive Optimization.
CoRR, 2023

On-line Learning, Classification and Interpretation of Brain Signals using 3D SNN and ESN.
Proceedings of the International Joint Conference on Neural Networks, 2023

Data-Driven Control: Theory and Applications.
Proceedings of the American Control Conference, 2023

2022
Game-Theoretic Lane-Changing Decision Making and Payoff Learning for Autonomous Vehicles.
IEEE Trans. Veh. Technol., 2022

An Online Evolving Method For a Safe and Fast Automated Vehicle Control System.
IEEE Trans. Syst. Man Cybern. Syst., 2022

A Three-Level Game-Theoretic Decision-Making Framework for Autonomous Vehicles.
IEEE Trans. Intell. Transp. Syst., 2022

Robust Action Governor for Discrete-Time Piecewise Affine Systems With Additive Disturbances.
IEEE Control. Syst. Lett., 2022

Safe Control and Learning Using Generalized Action Governor.
CoRR, 2022

Safe and Human-Like Autonomous Driving: A Predictor-Corrector Potential Game Approach.
CoRR, 2022

Robust Action Governor for Uncertain Piecewise Affine Systems with Non-convex Constraints and Safe Reinforcement Learning.
CoRR, 2022

Robust AI Driving Strategy for Autonomous Vehicles.
CoRR, 2022

CARNet: A Dynamic Autoencoder for Learning Latent Dynamics in Autonomous Driving Tasks.
CoRR, 2022

Potential Game Based Decision-Making Frameworks for Autonomous Driving.
CoRR, 2022

Improved Robustness and Safety for Pre-Adaptation of Meta Reinforcement Learning with Prior Regularization.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

2021
Systems Science and Engineering Research in the Context of Systems, Man, and Cybernetics: Recollection, Trends, and Future Directions.
IEEE Trans. Syst. Man Cybern. Syst., 2021

Fuzzy Encoded Markov Chains: Overview, Observer Theory, and Applications.
IEEE Trans. Syst. Man Cybern. Syst., 2021

Driving Behavior Evaluation for Future Mobility: Application of Online Transition Probability Estimation.
IEEE Trans. Intell. Transp. Syst., 2021

Explaining Deep Learning Models Through Rule-Based Approximation and Visualization.
IEEE Trans. Fuzzy Syst., 2021

Online Nonlinear Dynamic System Identification With Evolving Spatial-Temporal Filters: Case Study on Turbocharged Engine Modeling.
IEEE Trans. Control. Syst. Technol., 2021

Towards a systematic computational framework for modeling multi-agent decision-making at micro level for smart vehicles in a smart world.
Robotics Auton. Syst., 2021

Action Governor for Discrete-Time Linear Systems With Non-Convex Constraints.
IEEE Control. Syst. Lett., 2021

Prior Is All You Need to Improve the Robustness and Safety for the First Time Deployment of Meta RL.
CoRR, 2021

Calibration of Human Driving Behavior and Preference Using Naturalistic Traffic Data.
CoRR, 2021

Efficient data-driven encoding of scene motion using Eccentricity.
CoRR, 2021

Interpretable AI Agent Through Nonlinear Decision Trees for Lane Change Problem.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

Safe Reinforcement Learning Using Robust Action Governor.
Proceedings of the 3rd Annual Conference on Learning for Dynamics and Control, 2021

Cooperation-Aware Decision Making for Autonomous Vehicles in Merge Scenarios.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2020
A Game Theoretic Model Predictive Controller With Aggressiveness Estimation for Mandatory Lane Change.
IEEE Trans. Intell. Veh., 2020

Autonomous Planning and Control for Intelligent Vehicles in Traffic.
IEEE Trans. Intell. Transp. Syst., 2020

Interpretable-AI Policies using Evolutionary Nonlinear Decision Trees for Discrete Action Systems.
CoRR, 2020

An online evolving framework for advancing reinforcement-learning based automated vehicle control.
CoRR, 2020

A Game Theoretic Approach for Parking Spot Search with Limited Parking Lot Information.
CoRR, 2020

Deep Reinforcement Learning with Enhanced Safety for Autonomous Highway Driving.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2020

A Game Theoretic Approach for Parking Spot Search with Limited Parking Lot Information.
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

Improvement of Variable Cam Timing Multirate Control via Optimal Output Filtering.
Proceedings of the 2020 American Control Conference, 2020

Hierarchical Optimization of Speed and Gearshift Control for Battery Electric Vehicles Using Preview Information.
Proceedings of the 2020 American Control Conference, 2020

Vision-Based Autonomous Driving: A Model Learning Approach.
Proceedings of the 2020 American Control Conference, 2020

2019
An Interacting Multiple-Model-Based Algorithm for Driver Behavior Characterization Using Handling Risk.
IEEE Trans. Intell. Transp. Syst., 2019

Advanced planning for autonomous vehicles using reinforcement learning and deep inverse reinforcement learning.
Robotics Auton. Syst., 2019

Co-optimization of Speed and Gearshift Control for Battery Electric Vehicles Using Preview Information.
CoRR, 2019

An Online Evolving Framework for Modeling the Safe Autonomous Vehicle Control System via Online Recognition of Latent Risks.
CoRR, 2019

Domination-Based Ordinal Regression for Expensive Multi-Objective Optimization.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

Autonomous Highway Driving using Deep Reinforcement Learning.
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

Towards a Modular Brain-Machine Interface for Intelligent Vehicle Systems Control - A CARLA Demonstration.
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

Explainable Density-Based Approach for Self-Driving Actions Classification.
Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

Interpretable Approximation of a Deep Reinforcement Learning Agent as a Set of If-Then Rules.
Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

Evolving Systems and Their Automotive Applications.
Proceedings of the 16th International Conference on Informatics in Control, 2019

A Real-Time Fuzzy Learning Algorithm for Markov Chain and Its Application on Prediction of Vehicle Speed.
Proceedings of the 2019 IEEE International Conference on Fuzzy Systems, 2019

A Game Theoretic Four-Stage Model Predictive Controller for Highway Driving.
Proceedings of the 2019 American Control Conference, 2019

Optimized Design of Multi-Speed Transmissions for Battery Electric Vehicles.
Proceedings of the 2019 American Control Conference, 2019

2018
Guest Editorial From Intelligent Control to Smart Management of Cyber-Physical-Social Systems: A Celebration of 70th Anniversary of Cybernetics by Norbert Wiener.
IEEE Trans. Cybern., 2018

Highway Traffic Modeling and Decision Making for Autonomous Vehicle Using Reinforcement Learning.
Proceedings of the 2018 IEEE Intelligent Vehicles Symposium, 2018

Dynamic Diffusion Maps-based Path Planning for Real-time Collision Avoidance of Mobile Robots.
Proceedings of the 2018 IEEE Intelligent Vehicles Symposium, 2018

Addressing Mandatory Lane Change Problem with Game Theoretic Model Predictive Control and Fuzzy Markov Chain.
Proceedings of the 2018 Annual American Control Conference, 2018

Online Nonlinear System Identification with Evolving Spatial-Temporal Filters.
Proceedings of the 2018 Annual American Control Conference, 2018

2017
The Multiple Facets of Fuzzy Controllers: Look-up-Tables - A Special Class of Fuzzy Controllers.
Proceedings of the Granular, Soft and Fuzzy Approaches for Intelligent Systems, 2017

A New Clustering Algorithm for Processing GPS-Based Road Anomaly Reports With a Mahalanobis Distance.
IEEE Trans. Intell. Transp. Syst., 2017

Road Disturbance Estimation and Cloud-Aided Comfort-Based Route Planning.
IEEE Trans. Cybern., 2017

Optimal State Estimation for Systems Driven by Jump-Diffusion Process With Application to Road Anomaly Detection.
IEEE Trans. Control. Syst. Technol., 2017

A two-stage-training support vector machine approach to predicting unintentional vehicle lane departure.
J. Intell. Transp. Syst., 2017

A mutual information based online evolving clustering approach and its applications.
Evol. Syst., 2017

H-infinity Filtering for Cloud-Aided Semi-active Suspension with Delayed Information.
CoRR, 2017

Adaptive control of an uncertain hammerstein actuator model in a variable cam timing system.
Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017

Transition probability estimation and its application in evaluation of automated driving.
Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017

Vehicle speed prediction using a cooperative method of fuzzy Markov model and auto-regressive model.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2017

A neural network for predicting unintentional lane departures.
Proceedings of the IEEE International Conference on Industrial Technology, 2017

2016
IEEE Transactions on Intelligent Vehicles Senior Associate Editors.
IEEE Trans. Intell. Veh., 2016

Bayesian Traffic Light Parameter Tracking Based on Semi-Hidden Markov Models.
IEEE Trans. Intell. Transp. Syst., 2016

Road Risk Modeling and Cloud-Aided Safety-Based Route Planning.
IEEE Trans. Cybern., 2016

Trajectory optimization with memetic algorithms: Time-to-torque minimization of turbocharged engines.
Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016

Driver behavior characterization using multiple dynamic models.
Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016

Design of a fuel economy oriented vehicle longitudinal speed controller with optimal gear sequence.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

Simultaneous road profile estimation and anomaly detection with an input observer and a jump diffusion process estimator.
Proceedings of the 2016 American Control Conference, 2016

2015
Developing Fuzzy State Models as Markov Chain Models with Fuzzy Encoding.
Proceedings of the Fifty Years of Fuzzy Logic and its Applications, 2015

Vehicle Speed Prediction in a Convoy Using V2V Communication.
Proceedings of the IEEE 18th International Conference on Intelligent Transportation Systems, 2015

Robust H∞ control for a class of networked uncertain systems with multiple channels subject to Markovian switching.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

Road anomaly estimation: Model based pothole detection.
Proceedings of the American Control Conference, 2015

2014
Cloud-Based Velocity Profile Optimization for Everyday Driving: A Dynamic-Programming-Based Solution.
IEEE Trans. Intell. Transp. Syst., 2014

Generalized Markov Models for Real-Time Modeling of Continuous Systems.
IEEE Trans. Fuzzy Syst., 2014

Cloud aided safety-based route planning.
Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, 2014

A non-intrusive three-way catalyst diagnostics monitor based on support vector machines.
Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, 2014

A support vector machine approach to unintentional vehicle lane departure prediction.
Proceedings of the 2014 IEEE Intelligent Vehicles Symposium Proceedings, 2014

Cloud aided semi-active suspension control.
Proceedings of the 2014 IEEE Symposium on Computational Intelligence in Vehicles and Transportation Systems, 2014

Transition threshold optimization for a rule based automotive cruise control.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

2013
Empirical modeling of vehicle fuel economy based on historical data.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

The look-up table controllers and a particular class of Mamdani fuzzy controllers are equivalent - Implications to real-world applications.
Proceedings of the Joint IFSA World Congress and NAFIPS Annual Meeting, 2013

Piecewise Bilinear models for feedback error learning: On-line feedforward controller design.
Proceedings of the FUZZ-IEEE 2013, 2013

Evolving Markov chain models of driving conditions using onboard learning.
Proceedings of the 2013 IEEE International Conference on Cybernetics, 2013

Cybernetics: Where shall we go?
Proceedings of the 2013 IEEE International Conference on Cybernetics, 2013

Dynamic adaptation of a vehicle's cruising speed with recurrent neural networks for enhancing fuel economy.
Proceedings of the 2013 IEEE International Conference on Cybernetics, 2013

Analytical and numerical solutions for energy minimization of road vehicles with the existence of multiple traffic lights.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

Stochastic dynamic programming control policies for fuel efficient vehicle following.
Proceedings of the American Control Conference, 2013

2012
Using Dempster-Shafer Structures to Provide Probabilistic Outputs in Fuzzy Systems Modeling.
Proceedings of the Combining Experimentation and Theory - A Hommage to Abe Mamdani, 2012

Cloud-computing based velocity profile generation for minimum fuel consumption: A dynamic programming based solution.
Proceedings of the American Control Conference, 2012

Stochastic dynamic programming control policies for fuel efficient in-traffic driving.
Proceedings of the American Control Conference, 2012

Onboard learning-based fuel consumption optimization in series hybrid electric vehicles.
Proceedings of the American Control Conference, 2012

2011
Force-based weld quality monitoring algorithm.
Int. J. Intell. Syst. Technol. Appl., 2011

Real-time driver characterization during car following using stochastic evolving models.
Proceedings of the IEEE International Conference on Systems, 2011

Contextual on-board learning and prediction of vehicle destinations.
Proceedings of the 2011 IEEE Symposium on Computational Intelligence in Vehicles and Transportation Systems, 2011

Modeling of vehicle driving conditions using transition probability models.
Proceedings of the IEEE International Conference on Control Applications, 2011

2010
An Industrial Strength Novelty Detection Framework for Autonomous Equipment Monitoring and Diagnostics.
IEEE Trans. Ind. Informatics, 2010

Applied intelligent systems: blending fuzzy logic with conventional control.
Int. J. Gen. Syst., 2010

Editorial.
Evol. Syst., 2010

Hybrid Intelligent System for Driver Workload Estimation for tailored vehicle-driver communication and interaction.
Proceedings of the IEEE International Conference on Systems, 2010

A generalized Markov Chain modeling approach for on board applications.
Proceedings of the International Joint Conference on Neural Networks, 2010

Emotive Driver Advisor System (EDAS).
Proceedings of the Informatics in Control, Automation and Robotics, 2010

Adaptive road-following preview control using radius of curvature data.
Proceedings of the American Control Conference, 2010

Markov chain modeling approaches for on board applications.
Proceedings of the American Control Conference, 2010

2009
Real-time Driving Behavior Identification Based on Driver-in-the-loop Vehicle Dynamics and Control.
Proceedings of the IEEE International Conference on Systems, 2009

Gustafson-Kessel algorithm for evolving data stream clustering.
Proceedings of the 2009 International Conference on Computer Systems and Technologies and Workshop for PhD Students in Computing, 2009

From vehicle stability control to intelligent personal minder: Real-time vehicle handling limit warning and driver style characterization.
Proceedings of the 2009 IEEE Workshop on Computational Intelligence in Vehicles and Vehicular Systems, 2009

Multi-loop interactive control motivated by driver-in-the-loop vehicle dynamics controls: The framework.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009

Stochastic optimal control of systems with soft constraints and opportunities for automotive applications.
Proceedings of the IEEE International Conference on Control Applications, 2009

2008
Automotive Manufacturing: Intelligent Resistance Welding.
Proceedings of the Computational Intelligence in Automotive Applications, 2008

Guest Editorial Evolving Fuzzy Systems - Preface to the Special Section.
IEEE Trans. Fuzzy Syst., 2008

Summarizing data using a similarity based mountain method.
Inf. Sci., 2008

2007
Intelligent systems in the automotive industry: applications and trends.
Knowl. Inf. Syst., 2007

North American Fuzzy Information Processing Society Annual Conference NAFIPS'2005, June 22-25, Ann Arbor, MI.
Int. J. Approx. Reason., 2007

Architectures for evolving fuzzy rule-based classifiers.
Proceedings of the IEEE International Conference on Systems, 2007

Real time diagnostics, prognostics, and process modeling.
Proceedings of the ICINCO 2007, 2007

2006
An Autonomous Diagnostics and Prognostics Framework for Condition-Based Maintenance.
Proceedings of the International Joint Conference on Neural Networks, 2006

Intelligent vehicle systems applications and new trends.
Proceedings of the ICINCO 2006, 2006

Intelligent Constant Current Control for Resistance Spot Welding.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2006

2005
Simpl_eTS: a simplified method for learning evolving Takagi-Sugeno fuzzy models.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2005

2004
An approach to online identification of Takagi-Sugeno fuzzy models.
IEEE Trans. Syst. Man Cybern. Part B, 2004

Flexible models with evolving structure.
Int. J. Intell. Syst., 2004

Fuzzy modeling within the statistical process control framework.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2004

On-line identification of MIMO evolving Takagi- Sugeno fuzzy models.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2004

Intelligent agent for automated manufacturing rule generation.
Proceedings of the 2004 ACM CIKM International Conference on Information and Knowledge Management, 2004

2003
On-line Design of Takagi-Sugeno Models.
Proceedings of the Fuzzy Sets and Systems - IFSA 2003, 10th International Fuzzy Systems Association World Congress, Istanbul, Turkey, June 30, 2003

Context dependent information aggregation.
Proceedings of the 12th IEEE International Conference on Fuzzy Systems, 2003

2002
Applied intelligent control - control of automotive paint process.
Proceedings of the 2002 IEEE International Conference on Fuzzy Systems, 2002

2001
An online learning vector quantization algorithm.
Proceedings of the Sixth International Symposium on Signal Processing and its Applications, 2001

2000
Adaptive control of nonlinear MIMO systems with transport delay: conventional, rule based or neural?
Proceedings of the Ninth IEEE International Conference on Fuzzy Systems, 2000

Adaptive control of a static multiple input multiple output system.
Proceedings of the American Control Conference, 2000

1999
Induced ordered weighted averaging operators.
IEEE Trans. Syst. Man Cybern. Part B, 1999

On ranking fuzzy numbers using valuations.
Int. J. Intell. Syst., 1999

1998
On the issue of obtaining OWA operator weights.
Fuzzy Sets Syst., 1998

1997
Operations on fuzzy numbers via fuzzy reasoning.
Fuzzy Sets Syst., 1997

1996
Klir and Yuan's Fuzzy Sets and Fuzzy Logic.
J. Intell. Fuzzy Syst., 1996

Relational partitioning of fuzzy rules.
Fuzzy Sets Syst., 1996

1995
Including probabilistic uncertainty in fuzzy logic controller modeling using Dempster-Shafer theory.
IEEE Trans. Syst. Man Cybern., 1995

Analytic Properties of Maximum Entropy OWA Operators.
Inf. Sci., 1995

On the concept of immediate probabilities.
Int. J. Intell. Syst., 1995

1994
Analysis of Flexible Structured Fuzzy Logic Controllers.
IEEE Trans. Syst. Man Cybern. Syst., 1994

Approximate Clustering Via the Mountain Method.
IEEE Trans. Syst. Man Cybern. Syst., 1994

Generation of Fuzzy Rules by Mountain Clustering.
J. Intell. Fuzzy Syst., 1994

Template-Based Fuzzy Systems Modeling.
J. Intell. Fuzzy Syst., 1994

Essentials of fuzzy modeling and control.
Wiley, ISBN: 978-0-471-01761-5, 1994

1993
Unified structure and parameter identification of fuzzy models.
IEEE Trans. Syst. Man Cybern., 1993

SLIDE: A simple adaptive defuzzification method.
IEEE Trans. Fuzzy Syst., 1993

Modeling participatory learning as a control mechanism.
Int. J. Intell. Syst., 1993

1991
A generalized defuzzification method via bad distributions.
Int. J. Intell. Syst., 1991

Fuzzy modeling of complex systems.
Int. J. Approx. Reason., 1991

1982
Some new results in state space decoupling of multivariable systems. II. Extensions to decoupling of systems with D≠0 and output feedback decoupling.
Kybernetika, 1982

Some new results in state space decoupling of multivariable systems. I. A link between geometric approach and matrix methods.
Kybernetika, 1982


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