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ORCIDIgor Skrjanc
Igor Škrjanc
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- unicode name: Igor Škrjanc
- affiliation: University of Ljubljana, Faculty of Electrical Engineering, Slovenia
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2020 – today
- 2025
[j102]Milos Antic, Andrej Zdesar, José Antonio Iglesias, Araceli Sanchis, Igor Skrjanc:
Unsupervised discovery of 3D structural elements for scanned indoor scenes. Appl. Soft Comput. 170: 112680 (2025)- 2024
- [j101]Aljaz Blazic
, Igor Skrjanc, Vito Logar:
Prediction interval soft sensor for dissolved oxygen content estimation in an electric arc furnace. Appl. Soft Comput. 167: 112246 (2024) - [j100]Ziga Strzinar, Bostjan Pregelj, Igor Skrjanc:
Non-elastic time series fuzzy clustering for efficient analysis of industrial data sets. Appl. Soft Comput. 167: 112398 (2024) - [j99]Edwin Lughofer, Igor Skrjanc:
Robust Evolving Fuzzy Classifier Integrating Noise Smoothing and Soft Dimension Reduction. IEEE Trans. Emerg. Top. Comput. Intell. 8(5): 3628-3642 (2024) - [j98]Edwin Lughofer, Igor Skrjanc:
Online Active Learning for Evolving Error Feedback Fuzzy Models Within a Multi-Innovation Context. IEEE Trans. Fuzzy Syst. 32(11): 5998-6011 (2024) - [c70]Miha Ozbot, Igor Skrjanc:
Online Design of Experiments with Fuzzy Confidence Interval for Identification of Nonlinear Dynamical Processes. EAIS 2024: 1-8 - [c69]Oscar Cartagena, Doris Sáez, Igor Skrjanc:
Two-Stages Interval Fuzzy Model for Forecasting Wind Power in Microgrids. FUZZ 2024: 1-8 - [c68]Miha Ozbot, Seiichi Ozawa, Igor Skrjanc:
eFedGauss: A Federated Approach to Fuzzy Multivariate Gaussian Clustering. FUZZ 2024: 1-8 - [c67]Gorazd Karer, Darko Vrecko, Nadja Hvala, Igor Skrjanc:
Development and Implementation of a Wastewater-Treatement-Plant Model for Optimization Purposes. ICCA 2024: 115-120 - [c66]Aleksander Vegelj, Igor Skrjanc:
Optimization Based MPC Concept for Plate Heat Exchanger Plant. ICCA 2024: 258-263 - 2023
- [j97]Ziga Strzinar, Bostjan Pregelj, Igor Skrjanc:
Soft sensor for non-invasive detection of process events based on Eigenresponse Fuzzy Clustering. Appl. Soft Comput. 132: 109859 (2023) - [j96]Oscar Cartagena, Miha Ozbot, Doris Sáez, Igor Skrjanc:
Evolving fuzzy prediction interval for fault detection in a heat exchanger. Appl. Soft Comput. 145: 110625 (2023) - [j95]Daniel F. Leite, Igor Skrjanc, Saso Blazic, Andrej Zdesar, Fernando A. C. Gomide:
Interval incremental learning of interval data streams and application to vehicle tracking. Inf. Sci. 630: 1-22 (2023) - [j94]Gorazd Karer, Igor Skrjanc:
Improved Individualized Patient-Oriented Depth-of-Hypnosis Measurement Based on Bispectral Index. Sensors 23(1): 293 (2023) - [j93]Ziga Strzinar, Araceli Sanchis, Agapito Ledezma, Oscar Sipele, Bostjan Pregelj, Igor Skrjanc:
Stress Detection Using Frequency Spectrum Analysis of Wrist-Measured Electrodermal Activity. Sensors 23(2): 963 (2023) - [j92]Simon Tomazic, Igor Skrjanc:
Halfway to Automated Feeding of Chinese Hamster Ovary Cells. Sensors 23(14): 6618 (2023) - [j91]Edwin Lughofer, Igor Skrjanc:
Evolving Error Feedback Fuzzy Model for Improved Robustness Under Measurement Noise. IEEE Trans. Fuzzy Syst. 31(3): 997-1008 (2023) - [j90]Miha Ozbot, Edwin Lughofer, Igor Skrjanc:
Evolving Neuro-Fuzzy Systems-Based Design of Experiments in Process Identification. IEEE Trans. Fuzzy Syst. 31(6): 1995-2005 (2023) - [c65]Igor Skrjanc:
Evolving Cauchy Possibilistic Clustering for Data Stream Modeling and Classification. AFRICON 2023: 1-6 - [c64]Aljaz Blazic, Igor Skrjanc:
Gaussian Process to Takagi-Sugeno Fuzzy Model Using Supervised Clustering. FUZZ 2023: 1-7 - [c63]Gregor Cerne, Igor Skrjanc:
Proof of Accuracy-Transparency Trade-Off in Takagi-Sugeno Model and its Implications. FUZZ 2023: 1-6 - 2022
- [j89]Igor Skrjanc, Goran Andonovski, José Antonio Iglesias, María Paz Sesmero, Araceli Sanchis:
Evolving Gaussian on-line clustering in social network analysis. Expert Syst. Appl. 207: 117881 (2022) - [c62]Goran Andonovski, Igor Skrjanc:
Evolving clustering algorithm based on average cluster distance - eCAD. EAIS 2022: 1-5 - [c61]Aljaz Blazic, Vito Logar, Igor Skrjanc:
Fuzzy Interval Oxygen Estimation in an Electric Arc Furnace from Scarce Output Measurements. FUZZ-IEEE 2022: 1-8 - 2021
- [j88]Goran Andonovski, Edwin Lughofer, Igor Skrjanc:
Evolving Fuzzy Model Identification of Nonlinear Wiener-Hammerstein Processes. IEEE Access 9: 158470-158480 (2021) - [j87]Aljaz Blazic, Igor Skrjanc, Vito Logar:
Soft sensor of bath temperature in an electric arc furnace based on a data-driven Takagi-Sugeno fuzzy model. Appl. Soft Comput. 113(Part): 107949 (2021) - [j86]Edwin Lughofer, Mahardhika Pratama, Igor Skrjanc:
Online bagging of evolving fuzzy systems. Inf. Sci. 570: 16-33 (2021) - [j85]Igor Skrjanc:
An evolving concept in the identification of an interval fuzzy model of Wiener-Hammerstein nonlinear dynamic systems. Inf. Sci. 581: 73-87 (2021) - [j84]Charles Aguiar, Daniel F. Leite, Daniel Pereira, Goran Andonovski, Igor Skrjanc:
Nonlinear modeling and robust LMI fuzzy control of overhead crane systems. J. Frankl. Inst. 358(2): 1376-1402 (2021) - [j83]Simon Tomazic, Igor Skrjanc:
An Automated Indoor Localization System for Online Bluetooth Signal Strength Modeling Using Visual-Inertial SLAM. Sensors 21(8): 2857 (2021) - [j82]Milos Antic, Andrej Zdesar, Igor Skrjanc:
Depth-Image Segmentation Based on Evolving Principles for 3D Sensing of Structured Indoor Environments. Sensors 21(13): 4395 (2021) - [j81]Gregor Klancar, Marija Seder, Saso Blazic, Igor Skrjanc, Ivan Petrovic:
Drivable Path Planning Using Hybrid Search Algorithm Based on E* and Bernstein-Bézier Motion Primitives. IEEE Trans. Syst. Man Cybern. Syst. 51(8): 4868-4882 (2021) - [c60]Milos Antic, Andrej Zdesar, Igor Skrjanc:
Segmentation of Stereo-Camera Depth Image into Planar Regions based on Evolving Principal Component Clustering. MFI 2021: 1-5 - [c59]Ziga Strzinar, Igor Skrjanc:
Self-tuned Model-Based Predictive Control Using Evolving Fuzzy Model of a Non-linear Dynamic Process. NAFIPS 2021: 406-421 - [c58]Matevz Bosnak, Igor Skrjanc:
Obstacle Avoidance for Line-Following AGV with Local Maps. SACI 2021: 193-198 - [c57]Igor Skrjanc:
eGauss+ evolving clustering in classification. SACI 2021: 533-538 - 2020
- [j80]Fabricio P. Lucas, Pyramo Costa, Rose M. S. Batalha, Daniel F. Leite, Igor Skrjanc:
Fault detection in smart grids with time-varying distributed generation using wavelet energy and evolving neural networks. Evol. Syst. 11(2): 165-180 (2020) - [j79]Daniel F. Leite, Igor Skrjanc, Fernando A. C. Gomide:
An overview on evolving systems and learning from stream data. Evol. Syst. 11(2): 181-198 (2020) - [j78]Anton Sodja, Igor Skrjanc, Borut Zupancic:
Cyber-physical modelling in Modelica with model-reduction techniques. J. Syst. Softw. 163: 110517 (2020) - [j77]Daniel F. Leite, Goran Andonovski, Igor Skrjanc, Fernando A. C. Gomide:
Optimal Rule-Based Granular Systems From Data Streams. IEEE Trans. Fuzzy Syst. 28(3): 583-596 (2020) - [j76]Saso Blazic, Igor Skrjanc:
Incremental Fuzzy C-Regression Clustering From Streaming Data for Local-Model-Network Identification. IEEE Trans. Fuzzy Syst. 28(4): 758-767 (2020) - [j75]Igor Skrjanc:
Cluster-Volume-Based Merging Approach for Incrementally Evolving Fuzzy Gaussian Clustering - eGAUSS+. IEEE Trans. Fuzzy Syst. 28(9): 2222-2231 (2020) - [j74]Cristiano Garcia, Daniel F. Leite, Igor Skrjanc:
Incremental Missing-Data Imputation for Evolving Fuzzy Granular Prediction. IEEE Trans. Fuzzy Syst. 28(10): 2348-2362 (2020) - [j73]Dejan Dovzan, Igor Skrjanc:
Fuzzy Space Partitioning Based on Hyperplanes Defined by Eigenvectors for Takagi-Sugeno Fuzzy Model Identification. IEEE Trans. Ind. Electron. 67(6): 5144-5153 (2020) - [c56]Saso Blazic, Igor Skrjanc:
Hybrid System Identification by Incremental Fuzzy C-regression Clustering. FUZZ-IEEE 2020: 1-7 - [c55]Diego Muñoz-Carpintero, Sebastián Parra, Oscar Cartagena, Doris Sáez, Luis G. Marin, Igor Skrjanc:
Fuzzy Interval Modelling based on Joint Supervision. FUZZ-IEEE 2020: 1-8 - [c54]Igor Skrjanc:
Interval Fuzzy Models Based on Evolving Gaussian Clustering - eGauss+. NAFIPS 2020: 41-56 - [c53]Goran Andonovski, Oscar Sipele, José Antonio Iglesias, Araceli Sanchis, Edwin Lughofer, Igor Skrjanc:
Detection of driver maneuvers using evolving fuzzy cloud-based system. SSCI 2020: 700-706
2010 – 2019
- 2019
- [j72]Igor Skrjanc, Saso Blazic, Edwin Lughofer, Dejan Dovzan:
Inner matrix norms in evolving Cauchy possibilistic clustering for classification and regression from data streams. Inf. Sci. 478: 540-563 (2019) - [j71]Igor Skrjanc, José Antonio Iglesias, Araceli Sanchis, Daniel F. Leite, Edwin Lughofer, Fernando A. C. Gomide:
Evolving fuzzy and neuro-fuzzy approaches in clustering, regression, identification, and classification: A Survey. Inf. Sci. 490: 344-368 (2019) - [j70]Daniel F. Leite, Igor Skrjanc:
Ensemble of evolving optimal granular experts, OWA aggregation, and time series prediction. Inf. Sci. 504: 95-112 (2019) - [j69]Cristiano Garcia, Ahmed Esmin, Daniel F. Leite, Igor Skrjanc:
Evolvable fuzzy systems from data streams with missing values: With application to temporal pattern recognition and cryptocurrency prediction. Pattern Recognit. Lett. 128: 278-282 (2019) - [j68]Anton Sodja, Igor Skrjanc, Borut Zupancic:
Realization-preserving model reduction of object-oriented models using energy-based metrics. Simul. 95(7) (2019) - [j67]Simon Tomazic, Dejan Dovzan, Igor Skrjanc:
Confidence-Interval-Fuzzy-Model-Based Indoor Localization. IEEE Trans. Ind. Electron. 66(3): 2015-2024 (2019) - [j66]Yadollah Saboohi, Amirhossein Fathi, Igor Skrjanc, Vito Logar:
Optimization of the Electric Arc Furnace Process. IEEE Trans. Ind. Electron. 66(10): 8030-8039 (2019) - [c52]Daniel F. Leite, Charles Aguiar, Daniel Pereira, Gustavo Souza, Igor Skrjanc:
Nonlinear Fuzzy State-Space Modeling and LMI Fuzzy Control of Overhead Cranes. FUZZ-IEEE 2019: 1-6 - [c51]Daniel F. Leite, Fernando A. C. Gomide, Igor Skrjanc:
Multiobjective Optimization of Fully Autonomous Evolving Fuzzy Granular Models. FUZZ-IEEE 2019: 1-7 - [c50]Andrej Zdesar, Gregor Klancar, Igor Skrjanc:
Vision-based Localization of a Wheeled Mobile Robot with a Stereo Camera on a Pan-tilt Unit. ICINCO (2) 2019: 544-551 - 2018
- [j65]Igor Skrjanc, Seiichi Ozawa, Tao Ban, Dejan Dovzan:
Large-scale cyber attacks monitoring using Evolving Cauchy Possibilistic Clustering. Appl. Soft Comput. 62: 592-601 (2018) - [j64]Antonio Bayas, Igor Skrjanc, Doris Sáez:
Design of fuzzy robust control strategies for a distributed solar collector field. Appl. Soft Comput. 71: 1009-1019 (2018) - [j63]Mahardhika Pratama, Edwin Lughofer, Suresh Sundaram, Moamar Sayed Mouchaweh, Igor Skrjanc, Fahed Mostafa:
Editorial: Special issue on Advanced Soft Computing for Prognostic Health Management. Appl. Soft Comput. 72: 552-554 (2018) - [j62]Goran Andonovski, Bruno Sielly Jales Costa, Saso Blazic, Igor Skrjanc:
Robust evolving controller for simulated surge tank and for real two-tank plant. Autom. 66(9): 725-734 (2018) - [j61]Goran Andonovski, Gasper Music, Saso Blazic, Igor Skrjanc:
Evolving model identification for process monitoring and prediction of non-linear systems. Eng. Appl. Artif. Intell. 68: 214-221 (2018) - [j60]Igor Skrjanc, Goran Andonovski, Agapito Ledezma, Oscar Sipele, José Antonio Iglesias, Araceli Sanchis:
Evolving cloud-based system for the recognition of drivers' actions. Expert Syst. Appl. 99: 231-238 (2018) - [j59]Edwin Lughofer, Mahardhika Pratama, Igor Skrjanc:
Incremental Rule Splitting in Generalized Evolving Fuzzy Systems for Autonomous Drift Compensation. IEEE Trans. Fuzzy Syst. 26(4): 1854-1865 (2018) - [j58]Gregor Cerne, Dejan Dovzan, Igor Skrjanc:
Short-Term Load Forecasting by Separating Daily Profiles and Using a Single Fuzzy Model Across the Entire Domain. IEEE Trans. Ind. Electron. 65(9): 7406-7415 (2018) - [j57]Andrej Zdesar, Igor Skrjanc:
Optimum Velocity Profile of Multiple Bernstein-Bézier Curves Subject to Constraints for Mobile Robots. ACM Trans. Intell. Syst. Technol. 9(5): 56:1-56:23 (2018) - [c49]Gregor Cerne, Igor Skrjanc:
Initial study on evolving state space neural networks (eSSNN). EAIS 2018: 1-8 - [c48]Goran Andonovski, Saso Blazic, Igor Skrjanc:
Partial cloud-based evolving method for fault detection of HVAC system. FUZZ-IEEE 2018: 1-6 - [c47]Simon Tomazic, Igor Skrjanc:
Indoor RSSI-based Localization using Fuzzy Path Loss Models. FUZZ-IEEE 2018: 1-8 - 2017
- [j56]Igor Skrjanc, Gregor Klancar:
A comparison of continuous and discrete tracking-error model-based predictive control for mobile robots. Robotics Auton. Syst. 87: 177-187 (2017) - [c46]Matevz Bosnak, Igor Skrjanc:
Efficient Time-To-Collision Estimation for a Braking Supervision System with LIDAR. CYBCONF 2017: 1-6 - [c45]Goran Andonovski, Plamen Angelov, Saso Blazic, Igor Skrjanc:
Robust Evolving Cloud-based Controller (RECCo). EAIS 2017: 1-6 - [c44]Edwin Lughofer, Mahardhika Pratama, Igor Skrjanc:
Incremental rule splitting in generalized evolving fuzzy regression models. EAIS 2017: 1-8 - [c43]Igor Skrjanc, Araceli Sanchis de Miguel, José Antonio Iglesias, Agapito Ledezma, Dejan Dovzan:
Evolving Cauchy possibilistic clustering based on cosine similarity for monitoring cyber systems. EAIS 2017: 1-5 - [c42]Simon Tomazic, Igor Skrjanc:
Bluetooth localization based on fuzzy models and particle swarm optimization. IPIN 2017: 1-8 - [c41]Igor Skrjanc, Seiichi Ozawa, Dejan Dovzan, Tao Ban, Junji Nakazato, Jumpei Shimamura:
Evolving cauchy possibilistic clustering and its application to large-scale cyberattack monitoring. SSCI 2017: 1-7 - [e1]Igor Skrjanc, Saso Blazic:
2017 Evolving and Adaptive Intelligent Systems, EAIS 2017, Ljubljana, Slovenia, May 31 - June 2, 2017. IEEE 2017, ISBN 978-1-5090-6444-1 [contents] - 2016
- [j55]Gorazd Karer, Igor Skrjanc:
Interval-model-based global optimization framework for robust stability and performance of PID controllers. Appl. Soft Comput. 40: 526-543 (2016) - [j54]Goran Andonovski, Plamen Angelov, Saso Blazic, Igor Skrjanc:
A practical implementation of Robust Evolving Cloud-based Controller with normalized data space for heat-exchanger plant. Appl. Soft Comput. 48: 29-38 (2016) - [j53]Nikolaus Euler-Rolle, Igor Skrjanc, Christoph Hametner, Stefan Jakubek:
Automated generation of feedforward control using feedback linearization of local model networks. Eng. Appl. Artif. Intell. 50: 320-330 (2016) - [j52]Robert Bazdaric, Igor Skrjanc, Drago Matko:
Two Degrees of Freedom in the Control of a DC-DC Boost Converter, Fuzzy Identified Explicit Model in Feed-forward Line. J. Intell. Robotic Syst. 82(3-4): 479-493 (2016) - [j51]Dejan Dovzan, Vito Logar, Igor Skrjanc:
Evolving Fuzzy Model (eFuMo) Method for On-line Fuzzy Model Learning with Application to Monitoring System. Simul. Notes Eur. 26(4): 205-220 (2016) - [c40]Goran Andonovski, Gasper Music, Saso Blazic, Igor Skrjanc:
Evolving fuzzy model based performance identification for production control. EAIS 2016: 85-91 - [c39]Dejan Dovzan, Igor Skrjanc:
Evolving fuzzy model for short-term prediction of energy consumption profiles. EAIS 2016: 98-102 - [c38]Goran Andonovski, Antonio Bayas, Doris Sáez, Saso Blazic, Igor Skrjanc:
Robust evolving cloud-based control for the distributed solar collector field. FUZZ-IEEE 2016: 1570-1577 - [c37]Saso Blazic, Igor Skrjanc:
Problems of Identification of Cloud-Based Fuzzy Evolving Systems. ICAISC (1) 2016: 173-182 - 2015
- [j50]Gregor Klancar, Igor Skrjanc:
Evolving principal component clustering with a low run-time complexity for LRF data mapping. Appl. Soft Comput. 35: 349-358 (2015) - [j49]Simon Tomazic, Igor Skrjanc:
Fusion of visual odometry and inertial navigation system on a smartphone. Comput. Ind. 74: 119-134 (2015) - [j48]Marko Hancic, Gorazd Karer, Igor Skrjanc:
Modeling, Simulation and Control of a Loading Bridge. Simul. Notes Eur. 25(3-4): 165-170 (2015) - [j47]Igor Skrjanc:
Evolving Fuzzy-Model-Based Design of Experiments With Supervised Hierarchical Clustering. IEEE Trans. Fuzzy Syst. 23(4): 861-871 (2015) - [j46]Dejan Dovzan, Vito Logar, Igor Skrjanc:
Implementation of an Evolving Fuzzy Model (eFuMo) in a Monitoring System for a Waste-Water Treatment Process. IEEE Trans. Fuzzy Syst. 23(5): 1761-1776 (2015) - [c36]Goran Andonovski, Saso Blazic, Plamen Angelov, Igor Skrjanc:
Analysis of adaptation law of the robust evolving cloud-based controller. EAIS 2015: 1-7 - [c35]Dejan Dovzan, Igor Skrjanc:
Possible use of evolving c-regression clustering for energy consumption profiles classification. EAIS 2015: 1-6 - [c34]Goran Andonovski, Saso Blazic, Plamen Angelov, Igor Skrjanc:
Robust Evolving Cloud-based Controller in normalized data space for heat-exchanger plant. FUZZ-IEEE 2015: 1-7 - [c33]Igor Skrjanc, Dejan Dovzan:
Evolving Gustafson-kessel Possibilistic c-Means Clustering. INNS Conference on Big Data 2015: 191-198 - [p1]Plamen P. Angelov, Igor Skrjanc, Saso Blazic:
A Robust Evolving Cloud-Based Controller. Handbook of Computational Intelligence 2015: 1435-1449 - 2014
- [j45]Alfredo Núñez, Bart De Schutter, Doris Sáez, Igor Skrjanc:
Hybrid-fuzzy modeling and identification. Appl. Soft Comput. 17: 67-78 (2014) - [j44]Andrej Zdesar, Dejan Dovzan, Igor Skrjanc:
Self-tuning of 2 DOF control based on evolving fuzzy model. Appl. Soft Comput. 19: 403-418 (2014) - [j43]José Antonio Iglesias, Igor Skrjanc:
Applications, results and future direction (EAIS 12). Evol. Syst. 5(1): 1-2 (2014) - [j42]Saso Blazic, Igor Skrjanc, Drago Matko:
A robust fuzzy adaptive law for evolving control systems. Evol. Syst. 5(1): 3-10 (2014) - [j41]José Antonio Iglesias Martinez, Igor Skrjanc:
Special issue: applications, results & future direction (EAIS 12): 2. Evol. Syst. 5(2): 73-74 (2014) - [j40]Gregor Klancar, Luka Teslic, Igor Skrjanc:
Mobile-robot pose estimation and environment mapping using an extended Kalman filter. Int. J. Syst. Sci. 45(12): 2603-2618 (2014) - [j39]Andrej Zdesar, Igor Skrjanc, Gregor Klancar:
Homography estimation from circular motion for use in visual control. Robotics Auton. Syst. 62(10): 1486-1496 (2014) - [c32]Saso Blazic, Dejan Dovzan, Igor Skrjanc:
Cloud-based identification of an evolving system with supervisory mechanisms. ISIC 2014: 1906-1911 - [c31]Dejan Dovzan, Saso Blazic, Igor Skrjanc:
Towards evolving fuzzy reference controller. EAIS 2014: 1-8 - [c30]Raul Rosa, Fernando A. C. Gomide, Dejan Dovzan, Igor Skrjanc:
Evolving neural network with extreme learning for system modeling. EAIS 2014: 1-7 - [c29]Igor Skrjanc, Saso Blazic, Plamen Angelov:
Robust evolving cloud-based PID control adjusted by gradient learning method. EAIS 2014: 1-8 - [c28]Igor Skrjanc, Dejan Dovzan, Fernando A. C. Gomide:
Evolving fuzzy-madel-based on c-regression clustering. EAIS 2014: 1-7 - [c27]Andrej Zdesar, Dejan Dovzan, Igor Skrjanc:
A 2 DOF predictive control based on evolving fuzzy model. EAIS 2014: 1-6 - 2013
- [b1]Gorazd Karer, Igor Skrjanc:
Predictive Approaches to Control of Complex Systems. Studies in Computational Intelligence 454, Springer 2013, ISBN 978-3-642-33946-2, pp. 3-256 - [j38]Andrej Zdesar, Otto Cerman, Dejan Dovzan, Petr Husek, Igor Skrjanc:
Fuzzy Control of a Helio-Crane - Comparison of Two Control Approaches. J. Intell. Robotic Syst. 72(3-4): 497-515 (2013) - [j37]Derong Liu, Charles Anderson, Ahmad Taher Azar, Giorgio Battistelli, Eduardo Bayro-Corrochano, Cristiano Cervellera, David A. Elizondo, Maurizio Filippone, Giorgio Gnecco, Xiaolin Hu, Tingwen Huang, Weifeng Liu, Wenlian Lu, Ana Maria Madureira, Igor Skrjanc, Thomas Villmann, Q. M. Jonathan Wu, Shengli Xie, Dong Xu:
Editorial A Successful Change From TNN to TNNLS and a Very Successful Year. IEEE Trans. Neural Networks Learn. Syst. 24(1): 1-7 (2013) - [c26]Drago Matko, Matija Arh, Igor Skrjanc, Tine Tomazic:
Self-tuning Dynamic Matrix Control of two-axis autopilot for small aeroplanes. ASCC 2013: 1-6 - [c25]Bruno Sielly Jales Costa, Igor Skrjanc, Saso Blazic, Plamen Angelov:
A practical implementation of self-evolving cloud-based control of a pilot plant. CYBCONF 2013: 7-12 - [c24]Plamen Angelov, Igor Skrjanc, Saso Blazic:
Robust evolving cloud-based controller for a hydraulic plant. EAIS 2013: 1-8 - [c23]Saso Blazic, Igor Skrjanc:
A Robust Fuzzy Adaptive Control Algorithm for a Class of Nonlinear Systems. ICANNGA 2013: 297-306 - [c22]Andrej Zdesar, Gregor Klancar, Gasper Music, Drago Matko, Igor Skrjanc:
Design of the image-based satellite attitude control algorithm. ICAT 2013: 1-8 - 2012
- [c21]Dejan Dovzan, Vito Logar, Igor Skrjanc:
Solving the sales prediction problem with fuzzy evolving methods. IEEE Congress on Evolutionary Computation 2012: 1-8 - [c20]Saso Blazic, Igor Skrjanc, Drago Matko:
A new fuzzy adaptive law with leakage. EAIS 2012: 47-50 - [c19]Dejan Dovzan, Vito Logar, Igor Skrjanc:
Solving the sales prediction problem with fuzzy evolving methods. FUZZ-IEEE 2012: 1-8 - [c18]Gregor Klancar, Igor Skrjanc:
Robot Localization Using Inertial and Wi-Fi Signal Strength Sensors. SyRoCo 2012: 139-144 - 2011
- [j36]Dejan Dovzan, Igor Skrjanc:
Recursive clustering based on a Gustafson-Kessel algorithm. Evol. Syst. 2(1): 15-24 (2011) - [j35]Luka Teslic, Igor Skrjanc, Gregor Klancar:
EKF-Based Localization of a Wheeled Mobile Robot in Structured Environments. J. Intell. Robotic Syst. 62(2): 187-203 (2011) - [j34]Simon Stampar, Sasa Sokolic, Gorazd Karer, Alenka Znidarsic, Igor Skrjanc:
Theoretical and fuzzy modelling of a pharmaceutical batch reactor. Math. Comput. Model. 53(5-6): 637-645 (2011) - [j33]Gorazd Karer, Gasper Music, Igor Skrjanc, Borut Zupancic:
Feedforward control of a class of hybrid systems using an inverse model. Math. Comput. Simul. 82(3): 414-427 (2011) - [j32]Benjamin Hartmann, Oliver Bänfer, Oliver Nelles, Anton Sodja, Luka Teslic, Igor Skrjanc:
Supervised Hierarchical Clustering in Fuzzy Model Identification. IEEE Trans. Fuzzy Syst. 19(6): 1163-1176 (2011) - [j31]Luka Teslic, Benjamin Hartmann, Oliver Nelles, Igor Skrjanc:
Nonlinear System Identification by Gustafson-Kessel Fuzzy Clustering and Supervised Local Model Network Learning for the Drug Absorption Spectra Process. IEEE Trans. Neural Networks 22(12): 1941-1951 (2011) - 2010
- [j30]Gregor Klancar, Igor Skrjanc:
A Case Study of the Collision-Avoidance Problem Based on Bernstein-Bézier Path Tracking for Multiple Robots with Known Constraints. J. Intell. Robotic Syst. 60(2): 317-337 (2010) - [j29]Claudiu Pozna, Radu-Emil Precup, József K. Tar, Igor Skrjanc, Stefan Preitl:
New results in modelling derived from Bayesian filtering. Knowl. Based Syst. 23(2): 182-194 (2010) - [j28]Igor Skrjanc, Gregor Klancar:
Optimal cooperative collision avoidance between multiple robots based on Bernstein-Bézier curves. Robotics Auton. Syst. 58(1): 1-9 (2010) - [c17]Simon Oblak, Tufan Kumbasar, Igor Skrjanc, Engin Yesil:
Inverse-model predictive control based on INFUMO-BB-BC optimization. ALCOSP 2010: 294-299 - [c16]Diego Muñoz-Carpintero, Doris Sáez, Igor Skrjanc:
Hybrid predictive control design with mixed inputs based on PSO and its application for control of a Batch Reactor. IEEE Congress on Evolutionary Computation 2010: 1-8
2000 – 2009
- 2009
- [j27]Saso Blazic, Igor Skrjanc, Samo Gerksic, Gregor Dolanc, Stanko Strmcnik, Mincho Bankov Hadjiski, Anna Stathaki:
Online fuzzy identification for an intelligent controller based on a simple platform. Eng. Appl. Artif. Intell. 22(4-5): 628-638 (2009) - [c15]Benjamin Hartmann, Oliver Nelles, Igor Skrjanc, Anton Sodja:
SUpervised HIerarchical CLUSTering (SUHICLUST) for nonlinear system identification. CICA 2009: 41-48 - [c14]Dejan Dovzan, Borut Zupancic, Gorazd Karer, Igor Skrjanc:
Multi-Domain Modelling - An Advantage In Modelling, Simulation And Control Education. ECMS 2009: 606-612 - 2008
- [j26]Vito Logar, Igor Skrjanc, Ales Belic, Simon Brezan, Blaz Koritnik, Janez Zidar:
Identification of the phase code in an EEG during gripping-force tasks: A possible alternative approach to the development of the brain-computer interfaces. Artif. Intell. Medicine 44(1): 41-49 (2008) - [j25]Javier Causa, Gorazd Karer, Alfredo Núñez, Doris Sáez, Igor Skrjanc, Borut Zupancic:
Hybrid fuzzy predictive control based on genetic algorithms for the temperature control of a batch reactor. Comput. Chem. Eng. 32(12): 3254-3263 (2008) - [j24]Emilio Frazzoli, Gregor Klancar, Igor Skrjanc:
Discussion on: "Optimality Properties and Driver Input Parameterization for Trail-braking Cornering". Eur. J. Control 14(4): 321-328 (2008) - [j23]Bostjan Potocnik, Gasper Music, Igor Skrjanc, Borut Zupancic:
Model-based Predictive Control of Hybrid Systems: A Probabilistic Neural-network Approach to Real-time Control. J. Intell. Robotic Syst. 51(1): 45-63 (2008) - 2007
- [j22]Gorazd Karer, Gasper Music, Igor Skrjanc, Borut Zupancic:
Hybrid fuzzy model-based predictive control of temperature in a batch reactor. Comput. Chem. Eng. 31(12): 1552-1564 (2007) - [j21]Simon Oblak, Igor Skrjanc, Saso Blazic:
Fault detection for nonlinear systems with uncertain parameters based on the interval fuzzy model. Eng. Appl. Artif. Intell. 20(4): 503-510 (2007) - [j20]Igor Skrjanc:
A Decomposed-model Predictive Functional Control Approach to Air-vehicle Pitch-angle Control. J. Intell. Robotic Syst. 48(1): 115-127 (2007) - [j19]Igor Skrjanc:
Coprime-factorized Model Predictive Control for Unstable Processes with Delay. J. Intell. Robotic Syst. 49(3): 237-251 (2007) - [j18]Saso Blazic, Igor Skrjanc:
Design and Stability Analysis of Fuzzy Model-based Predictive Control - A Case Study. J. Intell. Robotic Syst. 49(3): 279-292 (2007) - [j17]Gorazd Karer, Gasper Music, Igor Skrjanc, Borut Zupancic:
Hybrid Fuzzy Modelling for Model Predictive Control. J. Intell. Robotic Syst. 50(3): 297-319 (2007) - [j16]Gregor Klancar, Igor Skrjanc:
Tracking-error model-based predictive control for mobile robots in real time. Robotics Auton. Syst. 55(6): 460-469 (2007) - [c13]Luka Teslic, Gregor Klancar, Igor Skrjanc:
Simulation of a Mobile Robot with an LRF in a 2D Environment and Map Building. RoMoCo 2007: 239-246 - 2006
- [j15]Simon Oblak, Igor Skrjanc:
A Comparison of Fuzzy and CPWL Approximations in the Continuous-time Nonlinear Model-predictive Control of Time-delayed Wiener-type Systems. J. Intell. Robotic Syst. 47(2): 125-137 (2006) - [j14]Igor Skrjanc:
Pitch Angle Control of Unmanned Air Vehicle with Uncertain System Parameters. J. Intell. Robotic Syst. 47(3): 285-297 (2006) - [c12]Alfredo Núñez, Doris Sáez, Simon Oblak, Igor Skrjanc:
Hybrid Predictive Control based on Fuzzy Model. FUZZ-IEEE 2006: 1947-1953 - [c11]Simon Oblak, Igor Skrjanc:
Nonlinear Model-predictive Control of Wiener-type Systems in Continuous-time Domain Using a Fuzzy-system Function Approximation. FUZZ-IEEE 2006: 2203-2208 - 2005
- [j13]Igor Skrjanc, Saso Blazic, Osvaldo E. Agamennoni:
Identification of dynamical systems with a robust interval fuzzy model. Autom. 41(2): 327-332 (2005) - [j12]Igor Skrjanc, Saso Blazic:
Predictive Functional Control Based on Fuzzy Model: Design and Stability Study. J. Intell. Robotic Syst. 43(2-4): 283-299 (2005) - [j11]Igor Skrjanc, Saso Blazic, Osvaldo E. Agamennoni:
Interval Fuzzy Model Identification Using l∞-Norm. IEEE Trans. Fuzzy Syst. 13(5): 561-568 (2005) - [j10]Igor Skrjanc, Saso Blazic, Osvaldo E. Agamennoni:
Interval fuzzy modeling applied to Wiener models with uncertainties. IEEE Trans. Syst. Man Cybern. Part B 35(5): 1092-1095 (2005) - [c10]Simon Oblak, Igor Skrjanc, Saso Blazic:
On applying interval fuzzy model to fault detection and isolation for nonlinear input-output systems with uncertain parameters. CCA 2005: 465-470 - [c9]Saso Blazic, Igor Skrjanc, Drago Matko:
A Simple Approach to Multivariable Control of Plants with Considerable Time Delay. ISIC 2005: 866-871 - [c8]Simon Oblak, Igor Skrjanc:
Multivariable Fuzzy Predictive Functional Control of a MIMO Nonlinear System. ISIC 2005: 1029-1034 - 2004
- [j9]Osvaldo E. Agamennoni, Igor Skrjanc, Marko Lepetic, Héctor G. Chiacchiarini, Drago Matko:
Nonlinear uncertainty model of a magnetic suspension system. Math. Comput. Model. 40(9-10): 1075-1087 (2004) - [c7]Marko Lepetic, Gregor Klancar, Igor Skrjanc, Drago Matko, Bostjan Potocnik:
Path Optimisation Considering Dynamic Constraints. RoboCup 2004: 574-585 - 2003
- [j8]Saso Blazic, Igor Skrjanc, Drago Matko:
Globally stable direct fuzzy model reference adaptive control. Fuzzy Sets Syst. 139(1): 3-33 (2003) - [j7]Igor Skrjanc, Saso Blazic, Drago Matko:
Model-Reference Fuzzy Adaptive Control as a Framework for Nonlinear System Control. J. Intell. Robotic Syst. 36(3): 331-347 (2003) - [j6]Marko Lepetic, Igor Skrjanc, Héctor G. Chiacchiarini, Drago Matko:
Predictive Functional Control Based on Fuzzy Model: Comparison with Linear Predictive Functional Control and PID Control. J. Intell. Robotic Syst. 36(4): 467-480 (2003) - [j5]Marko Lepetic, Gregor Klancar, Igor Skrjanc, Drago Matko, Bostjan Potocnik:
Time optimal path planning considering acceleration limits. Robotics Auton. Syst. 45(3-4): 199-210 (2003) - [c6]Saso Blazic, Drago Matko, Igor Skrjanc:
ICAD based control of a pressure-level pilot plant. ECC 2003: 3442-3447 - [c5]Igor Skrjanc, Saso Blazic, J. Richalet, Drago Matko:
Multivariable Predictive Control of Air Conditioning Plant. Modelling, Identification and Control 2003: 332-336 - 2002
- [j4]Igor Skrjanc, Saso Blazic, Drago Matko:
Direct fuzzy model-reference adaptive control. Int. J. Intell. Syst. 17(10): 943-963 (2002) - [j3]Saso Blazic, Igor Skrjanc, Drago Matko:
Globally stable model reference adaptive control based on fuzzy description of the plant. Int. J. Syst. Sci. 33(12): 995-1012 (2002) - 2001
- [j2]Igor Skrjanc, Drago Matko:
Fuzzy Predictive Functional Control in the State Space Domain. J. Intell. Robotic Syst. 31(1-3): 283-297 (2001) - [c4]Igor Skrjanc, Saso Blazic, Drago Matko:
Direct Adaptive Control of Nonlinear Process Based on Fuzzy Model. FUZZ-IEEE 2001: 497-500 - [c3]Marko Lepetic, Igor Skrjanc, Héctor G. Chiacchiarini, Drago Matko:
Predictive Control Based Fuzzy Model: A Case Study. FUZZ-IEEE 2001: 868-871 - 2000
- [j1]Igor Skrjanc, Drago Matko:
Predictive functional control based on fuzzy model for heat-exchanger pilot plant. IEEE Trans. Fuzzy Syst. 8(6): 705-712 (2000) - [c2]Drago Matko, Katarina Kavsek-Biasizzo, Igor Skrjanc, Gasper Music:
Generalized predictive control of a thermal plant using fuzzy model. ACC 2000: 2053-2057
1990 – 1999
- 1998
- [c1]Igor Skrjanc, Drago Matko:
Fuzzy Adaptive Control of the Highly Nonlinear Heat-Exchanger Plant. IEA/AIE (Vol. 2) 1998: 928-937
Coauthor Index
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