I. Škrjanc

I. Škrjanc, S. Oblak, 2005, Proceedings of the 2005 IEEE International Symposium on, Mediterrean Conference on Control and Automation Intelligent Control, 2005..

Discussion on: "Optimality Properties and Driver Input Parameterization for Trail-braking Cornering"

Igor Skrjanc, Emilio Frazzoli, Gregor Klancar, 2008, Eur. J. Control.

Visual Trajectory-Tracking Model-Based Control for Mobile Robots

Igor Škrjanc, Gregor Klančar, Andrej Zdešar, 2013 .

Stable Fuzzy Logic Control Solution for Lorenz Chaotic System Stabilization

Igor Škrjanc, Stefan Preitl, Radu-Emil Precup, 2008 .

Piecewise Affine and Equivalent Models

I. Škrjanc, G. Karer, 2013 .

A new method for hybrid-fuzzy identification

B. Schutter, I. Škrjanc, A. Núñez, 2011 .

IDENTIFICATION OF A HYBRID FUZZY MODEL OF A BATCH REACTOR FOR SIMULATION AND CONTROL

I. Škrjanc, B. Zupancic, G. Karer, 2010 .

Multivariable Predictive Control of Air Conditioning Plant

Igor Skrjanc, Drago Matko, J. Richalet, 2003, Modelling, Identification and Control.

CANCELLATION CONTROLLER BASED ON FUZZY RELATIONAL MATRIX AND COMPARISON WITH OTHER CONTROL ALGORITHMS

I. Škrjanc, D. Matko, 1994 .

Control of Wheeled Mobile Systems

I. Škrjanc, G. Klančar, S. Blažič, 2017 .

2009 IEEE Symposium on Computational Intelligence in Control and Automation, CICA 2009, Nashville, TN, USA, March 30 - April 2, 2009

Igor Skrjanc, Dalel Jabri, Noureddine Manamanni, 2009, CICA.

Enhanced stability and failure avoidance of hydropower plant in contingent island operation by model predictive frequency control

I. Škrjanc, Boštjan Murovec, K. Nagode, 2022, Energy Reports.

Editorial: Special issue on Advanced Soft Computing for Prognostic Health Management

Igor Skrjanc, Mahardhika Pratama, Edwin Lughofer, 2018, Applied Soft Computing.

The Influence of Electric-Arc-Furnace Input Feeds on its Electrical Energy Consumption

I. Škrjanc, V. Logar, 2021, Journal of Sustainable Metallurgy.

Two Degrees of Freedom in the Control of a DC-DC Boost Converter, Fuzzy Identified Explicit Model in Feed-forward Line

I. Škrjanc, D. Matko, Robert Bazdaric, 2015, Journal of Intelligent & Robotic Systems.

Soft sensor for non-invasive detection of process events based on Eigenresponse Fuzzy Clustering

I. Škrjanc, B. Pregelj, Žiga Stržinar, 2022, Appl. Soft Comput..

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

Igor Skrjanc, Saso Blazic, I. Škrjanc, 2007, J. Intell. Robotic Syst..

A Simple Approach to Multivariable Control of Plants with Considerable Time Delay

I. Skrjanc, D. Matko, S. Blazic, 2005, Proceedings of the 2005 IEEE International Symposium on, Mediterrean Conference on Control and Automation Intelligent Control, 2005..

A simple approach to multivariable control of plants with considerable time delay

I. Skrjanc, D. Matko, S. Blazic, 2003, The IEEE Region 8 EUROCON 2003. Computer as a Tool..

Predictive control based on fuzzy model: a case study

Igor Skrjanc, Drago Matko, Marko Lepetic, 2001, 10th IEEE International Conference on Fuzzy Systems. (Cat. No.01CH37297).

Automated vehicle driveaway with a manual dry clutch on chassis dynamometers: Efficient identification and decoupling control.

Igor Škrjanc, Stefan Jakubek, Nikolaus Euler-Rolle, 2020, ISA transactions.

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

Igor Skrjanc, Edwin Lughofer, Araceli Sanchis, 2019, Inf. Sci..

Sensors Used in Mobile Systems

Igor Škrjanc, Gregor Klančar, Sašo Blažič, 2017 .

Optimization of the Electric Arc Furnace Process

Igor Škrjanc, Amirhossein Fathi, Yadollah Saboohi, 2019, IEEE Transactions on Industrial Electronics.

Large-scale cyber attacks monitoring using Evolving Cauchy Possibilistic Clustering

Dejan Dovzan, Igor Skrjanc, Tao Ban, 2018, Appl. Soft Comput..

Model-based Predictive Control of Hybrid Systems: A Probabilistic Neural-network Approach to Real-time Control

Igor Skrjanc, Borut Zupancic, Gasper Music, 2008, J. Intell. Robotic Syst..

Self-tuning of 2 DOF control based on evolving fuzzy model

I. Škrjanc, D. Dovžan, Andrej Zdešar, 2014, Appl. Soft Comput..

Comparison of Novel Approaches to the Predictive Control of a DC-DC Boost Converter, Based on Heuristics

Igor Škrjanc, D. Voncina, Robert Baždarić, 2018, Energies.

Fuzzy model predictive control of a DC-DC boost converter based on non-linear model identification

Igor Škrjanc, Drago Matko, Ales Leban, 2017 .

Technical report 14-009 Hybrid-fuzzy modeling and identification ∗

B. De Schutter, D. Sáez, I. Škrjanc, 2016 .

Hybrid-fuzzy modeling and identification

Igor Skrjanc, Bart De Schutter, Alfredo Núñez, 2014, Appl. Soft Comput..

Feedforward control of a class of hybrid systems using an inverse model

Igor Skrjanc, Borut Zupancic, Gorazd Karer, 2011, Math. Comput. Simul..

Identification of a PWA Model of a Batch Reactor for Model Predictive Control

Igor Škrjanc, Borut Zupančič, Gorazd Karer, 2011 .

Hybrid predictive control design with mixed inputs based on PSO and its application for control of a Batch Reactor

Igor Skrjanc, Doris Sáez, Diego Muñoz-Carpintero, 2010, IEEE Congress on Evolutionary Computation.

Fuzzy-model-based hybrid predictive control.

Igor Skrjanc, Alfredo Núñez, Doris Sáez, 2009, ISA transactions.

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

Igor Skrjanc, Borut Zupancic, Alfredo Núñez, 2008, Comput. Chem. Eng..

Model predictive control of nonlinear hybrid systems with discrete inputs employing a hybrid fuzzy model

Igor Škrjanc, Borut Zupančič, Gašper Mušič, 2008 .

Hybrid Fuzzy Predictive Control of a Batch Reactor Using a Branch and Bound and a Genetic Algorithm Approach

Igor Škrjanc, Borut Zupančič, Alfredo Núñez, 2008 .

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

Igor Skrjanc, Borut Zupancic, Gorazd Karer, 2007, Comput. Chem. Eng..

Hybrid Fuzzy Modelling for Model Predictive Control

Igor Skrjanc, Borut Zupancic, Gorazd Karer, 2007, J. Intell. Robotic Syst..

Hybrid Predictive Control based on Fuzzy Model

Igor Skrjanc, Alfredo Núñez, Doris Sáez, 2006, 2006 IEEE International Conference on Fuzzy Systems.

The Detection Rate of Enteric Viruses and Clostridium difficile in a Waste Water Treatment Plant Effluent

I. Škrjanc, A. Steyer, I. Gutiérrez-Aguirre, 2015, Food and Environmental Virology.

Solving Mixed-Integer Optimization Problems

Igor Škrjanc, Gorazd Karer, I. Škrjanc, 2013 .

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

Martin Horn, Igor Škrjanc, Aleksander Preglej, 2014 .

An approach to predictive control of multivariable time-delayed plant: stability and design issues.

J Richalet, I Skrjanc, S Blazic, 2004, ISA transactions.

Cluster-Volume-Based Merging Approach for Incrementally Evolving Fuzzy Gaussian Clustering—eGAUSS+

Igor Škrjanc, I. Škrjanc, 2020, IEEE Transactions on Fuzzy Systems.

Problems of Identification of Cloud-Based Fuzzy Evolving Systems

Igor Skrjanc, Saso Blazic, I. Škrjanc, 2016, ICAISC.

Nonlinear System Identification by Gustafson–Kessel Fuzzy Clustering and Supervised Local Model Network Learning for the Drug Absorption Spectra Process

Igor Skrjanc, Oliver Nelles, Benjamin Hartmann, 2011, IEEE Transactions on Neural Networks.

Supervised Hierarchical Clustering in Fuzzy Model Identification

Igor Skrjanc, Oliver Nelles, Benjamin Hartmann, 2011, IEEE Transactions on Fuzzy Systems.

SUpervised HIerarchical CLUSTering (SUHICLUST) for nonlinear system identification

Igor Skrjanc, Oliver Nelles, Benjamin Hartmann, 2009, 2009 IEEE Symposium on Computational Intelligence in Control and Automation.

Global Supervised and Local Unsupervised Learning in Local Model Networks

Oliver Nelles, Benjamin Hartmann, Anton Sodja, 2009 .

Automated generation of feedforward control using feedback linearization of local model networks

Igor Skrjanc, Stefan Jakubek, Christoph Hametner, 2016, Eng. Appl. Artif. Intell..

Predictive Functional Control Based on Fuzzy Model: Design and Stability Study

Igor Skrjanc, Saso Blazic, I. Škrjanc, 2005, J. Intell. Robotic Syst..

Predictive Control Based on a Genetic Algorithm

Igor Škrjanc, Gorazd Karer, I. Škrjanc, 2013 .

Self-tuning algorithms for predictive functional controller

Igor Škrjanc, Dejan Dovžan, I. Škrjanc, 2010 .

Evolving Fuzzy-Model-Based Design of Experiments With Supervised Hierarchical Clustering

Igor Skrjanc, I. Škrjanc, 2015, IEEE Transactions on Fuzzy Systems.

Evolving fuzzy-madel-based on c-regression clustering

Dejan Dovzan, Igor Skrjanc, Fernando A. C. Gomide, 2014, 2014 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS).

Interval fuzzy modeling applied to Wiener models with uncertainties

Igor Skrjanc, Saso Blazic, Osvaldo E. Agamennoni, 2005, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

Two Degrees of Freedom in the Control of a DC-DC Boost Converter, Fuzzy Identified Explicit Model in Feed-forward Line

Igor Skrjanc, Drago Matko, Robert Bazdaric, 2016, J. Intell. Robotic Syst..

A 2 DOF predictive control based on evolving fuzzy model

Andrej Zdesar, Dejan Dovzan, Igor Skrjanc, 2014, 2014 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS).

Introduction to Predictive Control of Complex Systems

Igor Škrjanc, Gorazd Karer, I. Škrjanc, 2013 .

Control of mineral wool thickness using predictive functional control

Igor Škrjanc, Dejan Dovan, I. Škrjanc, 2012 .

Minimisation of the capping tendency by tableting process optimisation with the application of artificial neural networks and fuzzy models.

Igor Skrjanc, Rihard Karba, Ales Belic, 2009, European journal of pharmaceutics and biopharmaceutics : official journal of Arbeitsgemeinschaft fur Pharmazeutische Verfahrenstechnik e.V.

Robust Evolving Cloud-based Controller in normalized data space for heat-exchanger plant

Igor Skrjanc, Plamen P. Angelov, Saso Blazic, 2015, 2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

A Robust Evolving Cloud-Based Controller

Igor Skrjanc, Plamen P. Angelov, Saso Blazic, 2015, Handbook of Computational Intelligence.

A robust fuzzy adaptive law for evolving control systems

I. Škrjanc, D. Matko, S. Blažič, 2014, Evol. Syst..

Robust evolving cloud-based controller for a hydraulic plant

Igor Skrjanc, Plamen P. Angelov, Saso Blazic, 2013, 2013 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS).

An overview on evolving systems and learning from stream data

I. Škrjanc, D. Leite, Fernando A. C. Gomide, 2020, Evolving Systems.

An overview on evolving systems and learning from stream data

Fernando Gomide, Igor Škrjanc, Daniel Leite, 2020, Evolving Systems.

Robust evolving controller for simulated surge tank and for real two-tank plant

Igor Skrjanc, Saso Blazic, Goran Andonovski, 2018, Autom..

Analysis of adaptation law of the robust evolving cloud-based controller

Igor Skrjanc, Plamen Angelov, Saso Blazic, 2015, 2015 IEEE International Conference on Evolving and Adaptive Intelligent Systems (EAIS).

Robust Evolving Fuzzy Adaptive Control with Input-Domain Clustering

Dejan Dovzan, Igor Škrjanc, Saso Blazic, 2014 .

A new fuzzy adaptive law with leakage

Igor Skrjanc, Drago Matko, Saso Blazic, 2012, 2012 IEEE Conference on Evolving and Adaptive Intelligent Systems.

Adaptive law with a new leakage term

Igor Škrjanc, Drago Matko, Saso Blazic, 2010 .

Globally stable direct fuzzy model reference adaptive control

Igor Skrjanc, Drago Matko, Saso Blazic, 2003, Fuzzy Sets Syst..

Soft sensor of bath temperature in an electric arc furnace based on a data-driven Takagi-Sugeno fuzzy model

Igor Škrjanc, Vito Logar, Aljaž Blažič, 2021, Appl. Soft Comput..

Direct fuzzy model‐reference adaptive control

Igor Skrjanc, Drago Matko, Saso Blazic, 2002, Int. J. Intell. Syst..

Predictive functional control based on an adaptive fuzzy model of a hybrid semi-batch reactor

Igor Škrjanc, Dejan Dovžan, I. Škrjanc, 2010 .

Self-adaptive supervisory predictive functional control of a hybrid semi-batch reactor with constraints

Igor Škrjanc, I. Škrjanc, 2008 .

Nonlinear Model-predictive Control of Wiener-type Systems in Continuous-time Domain Using a Fuzzy - system Function Approximation

Igor Skrjanc, Simon Oblak, I. Škrjanc, 2006, 2006 IEEE International Conference on Fuzzy Systems.

A Comparison of Fuzzy and CPWL Approximations in the Continuous-time Nonlinear Model-predictive Control of Time-delayed Wiener-type Systems

Igor Skrjanc, Simon Oblak, I. Škrjanc, 2006, J. Intell. Robotic Syst..

Predictive functional control based on fuzzy model: magnetic suspension system case study

Igor Škrjanc, Drago Matko, M. Lepetic, 2003 .

Predictive Functional Control Based on Fuzzy Model: Comparison with Linear Predictive Functional Control and PID Control

Igor Skrjanc, Drago Matko, Marko Lepetic, 2003, J. Intell. Robotic Syst..

FUZZY PREDICTIVE CONTROL: CONTINUOUS STIRRED–TANK REACTOR CASE STUDY

Igor Škrjanc, Drago Matko, Jose Luis Figueroa, 2002 .

Fuzzy Predictive Functional Control in the State Space Domain

Igor Skrjanc, Drago Matko, I. Škrjanc, 2001, J. Intell. Robotic Syst..

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

Igor Skrjanc, Drago Matko, I. Škrjanc, 1999, IEEE Trans. Fuzzy Syst..

Generalized predictive control of a thermal plant using fuzzy model

I. Skrjanc, D. Matko, G. Music, 2000, Proceedings of the 2000 American Control Conference. ACC (IEEE Cat. No.00CH36334).

Presentation of two optimal controllers

I. Škrjanc, D. Matko, A. Schumann, 1991, [1991 Proceedings] 6th Mediterranean Electrotechnical Conference.

Online fuzzy identification for an intelligent controller based on a simple platform

Igor Skrjanc, Stanko Strmcnik, Gregor Dolanc, 2009, Eng. Appl. Artif. Intell..

Advanced control algorithms embedded in a programmable logic controller

Igor Škrjanc, Stanko Strmčnik, Gregor Dolanc, 2006 .

Mathematical Modeling and Experimental Validation of an Electric Arc Furnace

Igor Škrjanc, Vito Logar, Dejan Dovžan, 2011 .

Modeling and Validation of an Electric Arc Furnace: Part 2, Thermo-chemistry

Igor Škrjanc, Vito Logar, Dejan Dovžan, 2012 .

A PLC-Based System for Advanced Control

Igor Škrjanc, Stanko Strmčnik, Gregor Dolanc, 2013 .

ASPECT: industrial self-tuning nonlinear controller on a PLC

I. Skrjanc, D. Vrancic, S. Gerksic, 2003, The IEEE Region 8 EUROCON 2003. Computer as a Tool..

Fuzzy Control of a Helio-Crane

Andrej Zdesar, Dejan Dovzan, Igor Skrjanc, 2013, J. Intell. Robotic Syst..

Evolving Fuzzy Model for Fault Detection and Fault Identification of Dynamic Processes

Igor Škrjanc, Sašo Blažič, Goran Andonovski, 2019, Predictive Maintenance in Dynamic Systems.

Partial cloud-based evolving method for fault detection of HVAC system

Igor Skrjanc, Saso Blazic, Goran Andonovski, 2018, 2018 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

Fault detection through evolving fuzzy cloud-based model

Igor Škrjanc, Goran Andonovski, Gašper Mušič, 2018 .

A practical implementation of self-evolving cloud-based control of a pilot plant

Igor Skrjanc, Plamen Angelov, Saso Blazic, 2013, 2013 IEEE International Conference on Cybernetics (CYBCO).

Hybrid Fuzzy Model

Igor Škrjanc, Gorazd Karer, I. Škrjanc, 2013 .

Inverse-model predictive control based on INFUMO-BB-BC optimization

Igor Skrjanc, Engin Yesil, Tufan Kumbasar, 2010, ALCOSP.

Monitoring of waste-water treatment plant using Takagi-Sugeno fuzzy model

L. Teslic, I. Skrjanc, I. Škrjanc, 2008, MELECON 2008 - The 14th IEEE Mediterranean Electrotechnical Conference.

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

Igor Škrjanc, Dejan Dovžan, Gregor Černe, 2018, IEEE Transactions on Industrial Electronics.

Evolving Neuro-Fuzzy Systems-Based Design of Experiments in Process Identification

I. Škrjanc, E. Lughofer, Miha Ozbot, 2023, IEEE Transactions on Fuzzy Systems.

Data-Driven Modelling and Optimization of Energy Consumption in EAF

I. Škrjanc, G. Andonovski, V. Logar, 2022, Metals.

An Automated Indoor Localization System for Online Bluetooth Signal Strength Modeling Using Visual-Inertial SLAM

Igor Skrjanc, Simon Tomazic, I. Škrjanc, 2021, Sensors.

Evolving principal component clustering with a low run-time complexity for LRF data mapping

Igor Skrjanc, Gregor Klancar, I. Škrjanc, 2015, Appl. Soft Comput..

Optimal Rule-Based Granular Systems From Data Streams

Fernando Gomide, Igor Škrjanc, Goran Andonovski, 2020, IEEE Transactions on Fuzzy Systems.

Ensemble of evolving optimal granular experts, OWA aggregation, and time series prediction

Igor Skrjanc, Daniel F. Leite, I. Škrjanc, 2019, Inf. Sci..

Multiobjective Optimization of Fully Autonomous Evolving Fuzzy Granular Models

Fernando Gomide, Igor Škrjanc, Daniel Leite, 2019, 2019 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

Evolving Error Feedback Fuzzy Model for Improved Robustness Under Measurement Noise

I. Škrjanc, E. Lughofer, 2023, IEEE Transactions on Fuzzy Systems.

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

Igor Skrjanc, Mahardhika Pratama, Edwin Lughofer, 2018, IEEE Transactions on Fuzzy Systems.

Evolving cloud-based system for the recognition of drivers' actions

Igor Skrjanc, Araceli Sanchis, Agapito Ledezma, 2017, Expert Syst. Appl..

Robust evolving cloud-based PID control adjusted by gradient learning method

Igor Skrjanc, Plamen P. Angelov, Saso Blazic, 2014, 2014 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS).

Nonlinear modeling and robust LMI fuzzy control of overhead crane systems

Igor Škrjanc, Goran Andonovski, Daniel Pereira, 2020, J. Frankl. Inst..

Self-adaptive predictive functional control of the temperature in an exothermic batch reactor

Igor Škrjanc, Borut Zupančič, Gorazd Karer, 2008 .

Identification of dynamical systems with a robust interval fuzzy model

Igor Skrjanc, Saso Blazic, Osvaldo E. Agamennoni, 2005, Autom..

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

Igor Skrjanc, Gregor Klancar, Luka Teslic, 2011, J. Intell. Robotic Syst..

Fuzzy Model-Based Control—Predictive and Adaptive Approaches

Igor Škrjanc, Sašo Blažič, I. Škrjanc, 2016 .

Influence of sample period variation to MPC trajectory tracking of mobile robot

Igor Škrjanc, Gregor Klančar, I. Škrjanc, 2015 .

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

Igor Skrjanc, Gregor Klancar, I. Škrjanc, 2007, Robotics Auton. Syst..

Fuzzy Adaptive Control of the Highly Nonlinear Heat-Exchanger Plant

Igor Skrjanc, Drago Matko, I. Škrjanc, 1998, IEA/AIE.

Predictive Control Based on a Fuzzy Model

Igor Škrjanc, Katarina Kavšek-Biasizzo, Drago Matko, 1998 .

Fuzzy Adaptive Control Versus Model Reference Adaptive Control of Mutable Processes

Igor Škrjanc, Drago Matko, I. Škrjanc, 1997 .

Fuzzy predictive control based on relational matrix models

Igor Škrjanc, Katarina Kavšek-Biasizzo, Drago Matko, 1996 .

Drivable Path Planning Using Hybrid Search Algorithm Based on E* and Bernstein–Bézier Motion Primitives

Igor Škrjanc, Gregor Klančar, Marija Seder, 2019, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

Optimum Velocity Profile of Multiple Bernstein-Bézier Curves Subject to Constraints for Mobile Robots

Andrej Zdesar, Igor Skrjanc, I. Škrjanc, 2018, ACM Trans. Intell. Syst. Technol..

Cooperative Collision Avoidance between Multiple Robots Based on Bézier Curves

G. Klancar, I. Skrjanc, I. Škrjanc, 2007, 2007 29th International Conference on Information Technology Interfaces.

Control of indoor CO2 concentration based on a process model

Igor Škrjanc, Barbara Šubic, I. Škrjanc, 2014 .

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

Dejan Dovzan, Igor Skrjanc, Vito Logar, 2015, IEEE Transactions on Fuzzy Systems.

Improved Individualized Patient-Oriented Depth-of-Hypnosis Measurement Based on Bispectral Index

I. Škrjanc, G. Karer, 2022, Sensors.

Fuzzy Interval Oxygen Estimation in an Electric Arc Furnace from Scarce Output Measurements

I. Škrjanc, V. Logar, Aljaž Blažič, 2022, 2022 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

Fuzzy Space Partitioning Based on Hyperplanes Defined by Eigenvectors for Takagi-Sugeno Fuzzy Model Identification

Dejan Dovzan, Igor Škrjanc, I. Škrjanc, 2020, IEEE Transactions on Industrial Electronics.

Incremental Fuzzy C-Regression Clustering From Streaming Data for Local-Model-Network Identification

Igor Škrjanc, Saso Blazic, I. Škrjanc, 2020, IEEE Transactions on Fuzzy Systems.

Evolving model identification for process monitoring and prediction of non-linear systems

Igor Skrjanc, Saso Blazic, Goran Andonovski, 2018, Eng. Appl. Artif. Intell..

Comprehensive Electric Arc Furnace Model for Simulation Purposes and Model‐Based Control

Igor Škrjanc, Amirhossein Fathi, Yadollah Saboohi, 2017 .

A Computational Model for Heat Transfer Coefficient Estimation in Electric Arc Furnace

Igor Škrjanc, Amirhossein Fathi, Vito Logar, 2016 .

Low Computational-complexity Model of EAF Arc-heat Distribution

Igor Škrjanc, Amirhossein Fathi, Yadollah Saboohi, 2015 .

Development of an Electric Arc Furnace Simulator Considering Thermal, Chemical and Electrical Aspects

Igor Škrjanc, Vito Logar, I. Škrjanc, 2012 .

Modeling and Validation of the Radiative Heat Transfer in an Electric Arc Furnace

Igor Škrjanc, Vito Logar, I. Škrjanc, 2012 .

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

Igor Škrjanc, Vito Logar, Dejan Dovžan, 2012 .

Recursive clustering based on a Gustafson–Kessel algorithm

Dejan Dovzan, Igor Skrjanc, I. Škrjanc, 2011, Evol. Syst..

Evolving Gaussian on-line clustering in social network analysis

I. Škrjanc, A. Sanchis, J. A. Iglesias, 2022, Expert Syst. Appl..

Evolving fuzzy model identification of nonlinear Wiener-Hammerstein processes

Edwin Lughofer, Igor Škrjanc, Goran Andonovski, 2021, IEEE Access.

Evolving fuzzy prediction interval for fault detection in a heat exchanger

I. Škrjanc, D. Śaez, Miha Ožbot, 2023, Appl. Soft Comput..

An evolving concept in the identification of an interval fuzzy model of Wiener-Hammerstein nonlinear dynamic systems

Igor Škrjanc, I. Škrjanc, 2021, Inf. Sci..

Fuzzy confidence interval for pH titration curve

Igor Škrjanc, I. Škrjanc, 2011 .

Online bagging of evolving fuzzy systems

Igor Skrjanc, Mahardhika Pratama, Edwin Lughofer, 2021, Inf. Sci..

Interval-model-based global optimization framework for robust stability and performance of PID controllers

Igor Skrjanc, Gorazd Karer, I. Škrjanc, 2016, Appl. Soft Comput..

Predictive Approaches to Control of Complex Systems

Igor Skrjanc, Gorazd Karer, I. Škrjanc, 2012, Studies in Computational Intelligence.

Design of fuzzy robust control strategies for a distributed solar collector field

Igor Skrjanc, Doris Sáez, Antonio Bayas, 2017, Appl. Soft Comput..

Towards evolving fuzzy reference controller

Dejan Dovzan, Igor Skrjanc, Saso Blazic, 2014, 2014 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS).

Modelling and Simulation of the Melting Process in Electric Arc Furnaces—Influence of Numerical Solution Methods

Igor Škrjanc, Vito Logar, Herbert Pfeifer, 2016 .

New results in modelling derived from Bayesian filtering

Igor Skrjanc, József K. Tar, Stefan Preitl, 2010, Knowl. Based Syst..

Incremental Missing-Data Imputation for Evolving Fuzzy Granular Prediction

Igor Škrjanc, Daniel Leite, Cristiano Garcia, 2020, IEEE Transactions on Fuzzy Systems.

Initial study on evolving state space neural networks (eSSNN)

Igor Skrjanc, Gregor Cerne, I. Škrjanc, 2018, 2018 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS).

Evolving Gustafson-kessel Possibilistic c-Means Clustering

Dejan Dovzan, Igor Skrjanc, I. Škrjanc, 2015, INNS Conference on Big Data.

Evolving cauchy possibilistic clustering and its application to large-scale cyberattack monitoring

Dejan Dovzan, Igor Skrjanc, Tao Ban, 2017, 2017 IEEE Symposium Series on Computational Intelligence (SSCI).

Detection of driver maneuvers using evolving fuzzy cloud-based system

Edwin Lughofer, Araceli Sanchis, Igor Škrjanc, 2020, 2020 IEEE Symposium Series on Computational Intelligence (SSCI).

Time optimal path planning considering acceleration limits

Igor Skrjanc, Drago Matko, Gregor Klancar, 2003, Robotics Auton. Syst..

Interval Fuzzy Model Identification Using$l_infty$-Norm

Igor Skrjanc, Saso Blazic, Osvaldo E. Agamennoni, 2005, IEEE Transactions on Fuzzy Systems.

Pitch Angle Control of Unmanned Air Vehicle with Uncertain System Parameters

Igor Skrjanc, I. Škrjanc, 2006, J. Intell. Robotic Syst..

Gripping-force identification using EEG and phase-demodulation approach

I. Škrjanc, B. Koritnik, J. Zidar, 2008, Neuroscience Research.

Identification of the phase code in an EEG during gripping-force tasks: A possible alternative approach to the development of the brain-computer interfaces

Igor Skrjanc, Vito Logar, Ales Belic, 2008, Artif. Intell. Medicine.

Tableting process optimisation with the application of fuzzy models.

Igor Skrjanc, Ales Belic, Franc Vrecer, 2010, International journal of pharmaceutics.

Minimisation of the capping tendency by tableting process optimisation with the application of artificial neural networks and fuzzy models.

I. Škrjanc, F. Vrečer, A. Belic, 2009, European journal of pharmaceutics and biopharmaceutics : official journal of Arbeitsgemeinschaft fur Pharmazeutische Verfahrenstechnik e.V.

Incremental rule splitting in generalized evolving fuzzy regression models

Igor Skrjanc, Mahardhika Pratama, Edwin Lughofer, 2017, 2017 Evolving and Adaptive Intelligent Systems (EAIS).

EAF Heat Recovery from Incident Radiation on Water‐Cooled Panels Using a Thermophotovoltaic System: A Conceptual Study

I. Škrjanc, Y. Saboohi, V. Logar, 2018 .

On-line fuzzy identification for advanced intelligent controller

I. Skrjanc, S. Gerksic, S. Strmcnik, 2003, IEEE International Conference on Industrial Technology, 2003.

ASPECT - Advanced Control Algorithms on Industrial Controllers

Igor Škrjanc, Stanko Strmčnik, Gregor Dolanc, 2003 .

Possible use of evolving c-regression clustering for energy consumption profiles classification

Dejan Dovzan, Igor Skrjanc, I. Škrjanc, 2015, 2015 IEEE International Conference on Evolving and Adaptive Intelligent Systems (EAIS).

Studying Pharmacokinetics with Partly Fuzzified Compartment Models

Maja Atanasijević-Kunc, Igor Škrjanc, Rihard Karba, 1997 .

Autonomous Guided Vehicles

Igor Škrjanc, Gregor Klančar, Sašo Blažič, 2017 .

Evolving cloud-based system for the recognition of drivers' actions

I. Škrjanc, A. Sanchis, Agapito Ledezma, 2017, Expert Syst. Appl..