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Engineering and Technology
Slovenia
2022

D-Index & Metrics

Computer Science

D-Index
46
Citations
6891
World Ranking
6936
National Ranking
7

Electronics and Electrical Engineering

D-Index
45
Citations
6944
World Ranking
3604
National Ranking
1

Research.com Recognitions

  • 2022 - Research.com Engineering and Technology in Slovenia Leader Award

Overview

Igor Škrjanc is affiliated with the University of Ljubljana in Slovenia. Their research spans primarily the fields of Engineering and Computer Science, with a significant focus on Artificial Intelligence and Control and Systems Engineering. Additional subfields include Mechanical Engineering, Signal Processing, and Electrical and Electronic Engineering.

Their work covers a range of topics related to fuzzy logic, control systems, and predictive methods. The main research themes they explore include:

  • Fuzzy Logic and Control Systems
  • Fault Detection and Control Systems
  • Time Series Analysis and Forecasting
  • Neural Networks and Applications
  • Advanced Control Systems Optimization
  • Control Systems and Identification
  • Anomaly Detection Techniques and Applications

Prominent recent publications by Igor Škrjanc include:

  • "Nonlinear modeling and robust LMI fuzzy control of overhead crane systems" (2020, Journal of the Franklin Institute)
  • "Optimal Rule-Based Granular Systems From Data Streams" (2020, IEEE Transactions on Fuzzy Systems)
  • "Online bagging of evolving fuzzy systems" (2021, Information Sciences)
  • "Evolving Error Feedback Fuzzy Model for Improved Robustness Under Measurement Noise" (2022, IEEE Transactions on Fuzzy Systems)
  • "Soft sensor of bath temperature in an electric arc furnace based on a data-driven Takagi-Sugeno fuzzy model" (2021, Applied Soft Computing)

Frequent collaborators in their research include Vito Logar, Žiga Stržinar, Boštjan Pregelj, Goran Andonovski, and Miha Ožbot. These co-authors have contributed to multiple joint publications, highlighting ongoing cooperative research efforts.

Igor Škrjanc's work has been published predominantly in the following venues:

  • Applied Soft Computing
  • arXiv (Cornell University)
  • IEEE Transactions on Fuzzy Systems
  • Sensors
  • Information Sciences

Best Publications

  • Tracking-error model-based predictive control for mobile robots in real time

    Gregor Klančar;Igor Škrjanc

  • Evolving fuzzy and neuro-fuzzy approaches in clustering, regression, identification, and classification: A Survey

    Igor Skrjanc;José Antonio Iglesias;Araceli Sanchis;Daniel F. Leite

  • Time optimal path planning considering acceleration limits

    Marko Lepetič;Gregor Klančar;Igor Škrjanc;Drago Matko

  • Predictive functional control based on fuzzy model for heat-exchanger pilot plant

    I. Skrjanc;D. Matko

  • Implementation of an Evolving Fuzzy Model (eFuMo) in a Monitoring System for a Waste-Water Treatment Process

    Dejan Dovzan;Vito Logar;Igor Skrjanc

  • Technical communique: Identification of dynamical systems with a robust interval fuzzy model

    Igor ŠKrjanc;SašO Blaič;Osvaldo Agamennoni

  • Recursive clustering based on a Gustafson–Kessel algorithm

    Dejan Dovžan;Igor Škrjanc

  • Modeling and Validation of an Electric Arc Furnace: Part 1, Heat and Mass Transfer

    Vito Logar;Dejan Dovžan;Igor Škrjanc

  • Optimal cooperative collision avoidance between multiple robots based on Bernstein-Bézier curves

    Igor Škrjanc;Gregor Klančar

  • Recursive fuzzy c-means clustering for recursive fuzzy identification of time-varying processes

    Dejan Dovžan;Igor Škrjanc

  • EKF-Based Localization of a Wheeled Mobile Robot in Structured Environments

    Luka Teslić;Igor Škrjanc;Gregor Klančar

  • Globally stable direct fuzzy model reference adaptive control

    Sašo Blažič;Igor Škrjanc;Drago Matko

  • Short-Term Load Forecasting by Separating Daily Profiles and Using a Single Fuzzy Model Across the Entire Domain

    Gregor Cerne;Dejan Dovzan;Igor Skrjanc

  • Hybrid fuzzy predictive control based on genetic algorithms for the temperature control of a batch reactor

    Javier Causa;Gorazd Karer;Alfredo Núñez;Doris Sáez

  • Mathematical Modeling and Experimental Validation of an Electric Arc Furnace

    Vito Logar;Dejan Dovžan;Igor Škrjanc

  • Hybrid fuzzy model-based predictive control of temperature in a batch reactor

    Gorazd Karer;Gašper Mušič;Igor Škrjanc;Borut Zupančič

  • Incremental Rule Splitting in Generalized Evolving Fuzzy Systems for Autonomous Drift Compensation

    Edwin Lughofer;Mahardhika Pratama;Igor Skrjanc

  • Short communication: New results in modelling derived from Bayesian filtering

    Claudiu Pozna;Radu-Emil Precup;József K. Tar;Igor Škrjanc

  • Design and Stability Analysis of Fuzzy Model-based Predictive Control—A Case Study

    Sašo Blažič;Igor Škrjanc

  • Energy-efficient fuzzy model-based multivariable predictive control of a HVAC system

    Aleksander Preglej;Jakob Rehrl;Daniel Schwingshackl;Igor Steiner

  • Brief paper: Fault detection for nonlinear systems with uncertain parameters based on the interval fuzzy model

    Simon Oblak;Igor Škrjanc;Sašo Blaič

Frequent Co-Authors

Doris Saez
Doris Saez University of Chile
Plamen Angelov
Plamen Angelov Lancaster University
Fernando Gomide
Fernando Gomide State University of Campinas
Edwin Lughofer
Edwin Lughofer Johannes Kepler University of Linz
Stefan Preitl
Stefan Preitl Polytechnic University of Timişoara
Radu-Emil Precup
Radu-Emil Precup Polytechnic University of Timişoara
Mahardhika Pratama
Mahardhika Pratama University of South Australia
Wenlian Lu
Wenlian Lu Fudan University
Giorgio Battistelli
Giorgio Battistelli University of Florence
Derong Liu
Derong Liu University of Illinois at Chicago

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