Igor Skrjanc

发表

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.

Recursive clustering based on a Gustafson–Kessel algorithm

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

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

Igor Skrjanc, Gregor Klancar, 2010, Robotics Auton. Syst..

Solving the sales prediction problem with fuzzy evolving methods

Dejan Dovzan, Igor Skrjanc, Vito Logar, 2012, 2012 IEEE International Conference on Fuzzy Systems.

Embedded Control System for Smart Walking Assistance Device

Igor Skrjanc, Matevz Bosnak, 2017, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

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).

Large-scale cyber attacks monitoring using Evolving Cauchy Possibilistic Clustering

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

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 Robust Fuzzy Adaptive Control Algorithm for a Class of Nonlinear Systems

Igor Skrjanc, Saso Blazic, 2013, ICANNGA.

Globally stable direct fuzzy model reference adaptive control

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

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

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

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

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

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).

A comparison of continuous and discrete tracking-error model-based predictive control for mobile robots

Igor Skrjanc, Gregor Klancar, 2017, Robotics Auton. Syst..

Path Optimisation Considering Dynamic Constraints

Igor Skrjanc, Drago Matko, Gregor Klancar, 2004, RoboCup.

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

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

Evolving fuzzy model based performance identification for production control

Igor Skrjanc, Saso Blazic, Goran Andonovski, 2016, 2016 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS).

Problems of Identification of Cloud-Based Fuzzy Evolving Systems

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

Interval Fuzzy Model Identification Using$l_infty$-Norm

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

New results in modelling derived from Bayesian filtering

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

Fuzzy Adaptive Control of the Highly Nonlinear Heat-Exchanger Plant

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

Incremental rule splitting in generalized evolving fuzzy regression models

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

Confidence-Interval-Fuzzy-Model-Based Indoor Localization

Dejan Dovzan, Igor Skrjanc, Simon Tomazic, 2019, IEEE Transactions on Industrial Electronics.

Evolving Cauchy possibilistic clustering based on cosine similarity for monitoring cyber systems

Dejan Dovzan, Igor Skrjanc, Araceli Sanchis, 2017, 2017 Evolving and Adaptive Intelligent Systems (EAIS).

Mobile-robot pose estimation and environment mapping using an extended Kalman filter

Igor Skrjanc, Gregor Klancar, Luka Teslic, 2014, Int. J. Syst. Sci..

A Case Study of the Collision-Avoidance Problem Based on Bernstein–Bézier Path Tracking for Multiple Robots with Known Constraints

Igor Skrjanc, Gregor Klancar, 2010, 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..

Predictive Trajectory Tracking Control for Mobile Robots

Igor Skrjanc, Gregor Klancar, 2006, 2006 12th International Power Electronics and Motion Control Conference.

Multi-Domain Modelling - An Advantage In Modelling, Simulation And Control Education

Dejan Dovzan, Igor Skrjanc, Borut Zupancic, 2009, ECMS.

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

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

Evolving Gustafson-kessel Possibilistic c-Means Clustering

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

A robust fuzzy adaptive law for evolving control systems

Igor Skrjanc, Drago Matko, Saso Blazic, 2014, Evol. Syst..

Supervised Hierarchical Clustering in Fuzzy Model Identification

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

Bluetooth localization based on fuzzy models and particle swarm optimization

Igor Skrjanc, Simon Tomazic, 2017, 2017 International Conference on Indoor Positioning and Indoor Navigation (IPIN).

Efficient Time-To-Collision Estimation for a Braking Supervision System with LIDAR

Igor Skrjanc, Matevz Bosnak, 2017, 2017 3rd IEEE International Conference on Cybernetics (CYBCON).

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).

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

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

Solving the sales prediction problem with fuzzy evolving methods

Dejan Dovzan, Igor Skrjanc, Vito Logar, 2012, 2012 IEEE Congress on Evolutionary Computation.

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).

Robust evolving cloud-based control for the distributed solar collector field

Igor Skrjanc, Saso Blazic, Goran Andonovski, 2016, 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

Multivariable Predictive Control of Air Conditioning Plant

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

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..

Vision-based Localization of a Wheeled Mobile Robot with a Stereo Camera on a Pan-tilt Unit

Andrej Zdesar, Igor Skrjanc, Gregor Klancar, 2019, ICINCO.

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.

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.

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..

Realization-preserving model reduction of object-oriented models using energy-based metrics

Igor Skrjanc, Borut Zupancic, Anton Sodja, 2019, Simul..

Theoretical and fuzzy modelling of a pharmaceutical batch reactor

Igor Skrjanc, Gorazd Karer, Alenka Znidarsic, 2011, Math. Comput. Model..

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).

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).

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).

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

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

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 uncertainty model of a magnetic suspension system

Igor Skrjanc, Drago Matko, Osvaldo E. Agamennoni, 2004, Math. Comput. Model..

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

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

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

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

Homography estimation from circular motion for use in visual control

Andrej Zdesar, Igor Skrjanc, Gregor Klancar, 2014, Robotics Auton. Syst..

Predictive Approaches to Control of Complex Systems

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

Evolving neural network with extreme learning for system modeling

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

Pitch Angle Control of Unmanned Air Vehicle with Uncertain System Parameters

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

Fuzzy Predictive Functional Control in the State Space Domain

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

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.

Tableting process optimisation with the application of fuzzy models.

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

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

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

Time optimal path planning considering acceleration limits

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

Coprime-factorized Model Predictive Control for Unstable Processes with Delay

Igor Skrjanc, 2007, J. Intell. Robotic Syst..

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..

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).

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

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

Direct fuzzy model‐reference adaptive control

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

Editorial A Successful Change From TNN to TNNLS and a Very Successful Year

Igor Skrjanc, Giorgio Battistelli, Thomas Villmann, 2013, IEEE Trans. Neural Networks Learn. Syst..

Robust Evolving Cloud-based Controller (RECCo)

Igor Skrjanc, Plamen P. Angelov, Saso Blazic, 2017, 2017 Evolving and Adaptive Intelligent Systems (EAIS).

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

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

Fuzzy-model-based hybrid predictive control.

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

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

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

Hybrid Predictive Control based on Fuzzy Model

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

Hybrid Fuzzy Modelling for Model Predictive Control

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

Fault detection for nonlinear systems with uncertain parameters based on the interval fuzzy model

Igor Skrjanc, Saso Blazic, Simon Oblak, 2007, Eng. Appl. Artif. Intell..

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..

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

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

Robot Localization Using Inertial and Wi-Fi Signal Strength Sensors

Igor Skrjanc, Gregor Klancar, 2012, SyRoCo.

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).

Hybrid-fuzzy modeling and identification

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

Identification of dynamical systems with a robust interval fuzzy model

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

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..

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.

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.

Cyber-physical modelling in Modelica with model-reduction techniques

Igor Skrjanc, Anton Sodja, Borut Zupancic, 2020, J. Syst. Softw..

A new fuzzy adaptive law with leakage

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

Fusion of visual odometry and inertial navigation system on a smartphone

Igor Skrjanc, Simon Tomazic, 2015, Comput. Ind..

A fuzzy predictive functional control approach to air-vehicle pitch-angle control

Igor Skrjanc, 2007, 2007 European Control Conference (ECC).

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.

Towards evolving fuzzy reference controller

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

A practical implementation of Robust Evolving Cloud-based Controller with normalized data space for heat-exchanger plant

Igor Skrjanc, Plamen Angelov, Saso Blazic, 2016, Appl. Soft Comput..

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).

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

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

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

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

Model-Reference Fuzzy Adaptive Control as a Framework for Nonlinear System Control

Igor Skrjanc, Drago Matko, Saso Blazic, 2003, J. Intell. Robotic Syst..

Applications, results and future direction (EAIS 12)

Igor Skrjanc, José Antonio Iglesias, 2014, Evol. Syst..

A Decomposed-model Predictive Functional Control Approach to Air-vehicle Pitch-angle Control

Igor Skrjanc, 2007, J. Intell. Robotic Syst..

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).

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

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

Special issue: applications, results & future direction (EAIS 12): 2

Igor Skrjanc, José Antonio Iglesias, 2014, Evol. Syst..

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

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

Cloud-based identification of an evolving system with supervisory mechanisms

Dejan Dovzan, Igor Skrjanc, Saso Blazic, 2014, 2014 IEEE International Symposium on Intelligent Control (ISIC).

Fuzzy Control of a Helio-Crane

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

Self-tuning Dynamic Matrix Control of two-axis autopilot for small aeroplanes

Igor Skrjanc, Drago Matko, Tine Tomazic, 2013, 2013 9th Asian Control Conference (ASCC).

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

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

A Robust Evolving Cloud-Based Controller

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

Simulation of a Mobile Robot with an LRF in a 2D Environment and Map Building

Igor Skrjanc, Gregor Klancar, Luka Teslic, 2007, RoMoCo.

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..

Evolving fuzzy model for short-term prediction of energy consumption profiles

Dejan Dovzan, Igor Skrjanc, 2016, 2016 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS).

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

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

Indoor RSSI-based Localization using Fuzzy Path Loss Models

Igor Skrjanc, Simon Tomazic, 2018, 2018 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

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

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

Design of the image-based satellite attitude control algorithm

Andrej Zdesar, Igor Skrjanc, Drago Matko, 2013, 2013 XXIV International Conference on Information, Communication and Automation Technologies (ICAT).

Inner matrix norms in evolving Cauchy possibilistic clustering for classification and regression from data streams

Dejan Dovzan, Igor Skrjanc, Edwin Lughofer, 2019, Inf. Sci..

Online bagging of evolving fuzzy systems

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

Self-tuned Model-Based Predictive Control Using Evolving Fuzzy Model of a Non-linear Dynamic Process

Igor Skrjanc, Ziga Strzinar, 2021, NAFIPS.

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

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

Obstacle Avoidance for Line-Following AGV with Local Maps

Igor Skrjanc, Matevz Bosnak, 2021, 2021 IEEE 15th International Symposium on Applied Computational Intelligence and Informatics (SACI).

Depth-Image Segmentation Based on Evolving Principles for 3D Sensing of Structured Indoor Environments

Andrej Zdesar, Igor Skrjanc, Milos Antic, 2021, Sensors.

Segmentation of Stereo-Camera Depth Image into Planar Regions based on Evolving Principal Component Clustering

Andrej Zdesar, Igor Skrjanc, Milos Antic, 2021, 2021 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI).

eGauss+ evolving clustering in classification

Igor Skrjanc, 2021, 2021 IEEE 15th International Symposium on Applied Computational Intelligence and Informatics (SACI).

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

Igor Skrjanc, Dejan Dovžan, I. Škrjanc, 2011, ISA transactions.

A new fault-detection system for nonlinear systems based on an interval fuzzy model

Igor Skrjanc, Saso Blazic, Simon Oblak, 2007, 2007 European Control Conference (ECC).