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Igor Skrjanc
Igor Škrjanc
2020 – today
- 2025
- [j102]Milos Antic
, Andrej Zdesar, José Antonio Iglesias, Araceli Sanchis
Unsupervised discovery of 3D structural elements for scanned indoor scenes. Appl. Soft Comput. 170: 112680 (2025) - [i1]M. Anwar Ma'sum, Mahardhika Pratama, Igor Skrjanc:
Latest Advancements Towards Catastrophic Forgetting under Data Scarcity: A Comprehensive Survey on Few-Shot Class Incremental Learning. CoRR abs/2502.08181 (2025) - 2024
- [j101]Aljaz Blazic
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
Non-elastic time series fuzzy clustering for efficient analysis of industrial data sets. Appl. Soft Comput. 167: 112398 (2024) - [j99]Edwin Lughofer
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
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
Soft sensor for non-invasive detection of process events based on Eigenresponse Fuzzy Clustering. Appl. Soft Comput. 132: 109859 (2023) - [j96]Oscar Cartagena
Evolving fuzzy prediction interval for fault detection in a heat exchanger. Appl. Soft Comput. 145: 110625 (2023) - [j95]Daniel F. Leite
Interval incremental learning of interval data streams and application to vehicle tracking. Inf. Sci. 630: 1-22 (2023) - [j94]Gorazd Karer
Improved Individualized Patient-Oriented Depth-of-Hypnosis Measurement Based on Bispectral Index. Sensors 23(1): 293 (2023) - [j93]Ziga Strzinar
Stress Detection Using Frequency Spectrum Analysis of Wrist-Measured Electrodermal Activity. Sensors 23(2): 963 (2023) - [j92]Simon Tomazic
Halfway to Automated Feeding of Chinese Hamster Ovary Cells. Sensors 23(14): 6618 (2023) - [j91]Edwin Lughofer
Evolving Error Feedback Fuzzy Model for Improved Robustness Under Measurement Noise. IEEE Trans. Fuzzy Syst. 31(3): 997-1008 (2023) - [j90]Miha Ozbot
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
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
Evolving Fuzzy Model Identification of Nonlinear Wiener-Hammerstein Processes. IEEE Access 9: 158470-158480 (2021) - [j87]Aljaz Blazic
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
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
Nonlinear modeling and robust LMI fuzzy control of overhead crane systems. J. Frankl. Inst. 358(2): 1376-1402 (2021) - [j83]Simon Tomazic
An Automated Indoor Localization System for Online Bluetooth Signal Strength Modeling Using Visual-Inertial SLAM. Sensors 21(8): 2857 (2021) - [j82]Milos Antic
Depth-Image Segmentation Based on Evolving Principles for 3D Sensing of Structured Indoor Environments. Sensors 21(13): 4395 (2021) - [j81]Gregor Klancar
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
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
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
Optimal Rule-Based Granular Systems From Data Streams. IEEE Trans. Fuzzy Syst. 28(3): 583-596 (2020) - [j76]Saso Blazic
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
Incremental Missing-Data Imputation for Evolving Fuzzy Granular Prediction. IEEE Trans. Fuzzy Syst. 28(10): 2348-2362 (2020) - [j73]Dejan Dovzan
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
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
Detection of driver maneuvers using evolving fuzzy cloud-based system. SSCI 2020: 700-706
2010 – 2019
- 2019
- [j72]Igor Skrjanc
Inner matrix norms in evolving Cauchy possibilistic clustering for classification and regression from data streams. Inf. Sci. 478: 540-563 (2019) - [j71]Igor Skrjanc
Evolving fuzzy and neuro-fuzzy approaches in clustering, regression, identification, and classification: A Survey. Inf. Sci. 490: 344-368 (2019) - [j70]Daniel F. Leite
Ensemble of evolving optimal granular experts, OWA aggregation, and time series prediction. Inf. Sci. 504: 95-112 (2019) - [j69]Cristiano Garcia, Ahmed Esmin
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
Confidence-Interval-Fuzzy-Model-Based Indoor Localization. IEEE Trans. Ind. Electron. 66(3): 2015-2024 (2019) - [j66]Yadollah Saboohi
Optimization of the Electric Arc Furnace Process. IEEE Trans. Ind. Electron. 66(10): 8030-8039 (2019) - [c52]Daniel F. Leite
Nonlinear Fuzzy State-Space Modeling and LMI Fuzzy Control of Overhead Cranes. FUZZ-IEEE 2019: 1-6 - [c51]Daniel F. Leite
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
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
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
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
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
Evolving cloud-based system for the recognition of drivers' actions. Expert Syst. Appl. 99: 231-238 (2018) - [j59]Edwin Lughofer
Incremental Rule Splitting in Generalized Evolving Fuzzy Systems for Autonomous Drift Compensation. IEEE Trans. Fuzzy Syst. 26(4): 1854-1865 (2018) - [j58]Gregor Cerne
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
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
Robust Evolving Cloud-based Controller (RECCo). EAIS 2017: 1-6 - [c44]Edwin Lughofer, Mahardhika Pratama
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
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
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
Automated generation of feedforward control using feedback linearization of local model networks. Eng. Appl. Artif. Intell. 50: 320-330 (2016) - [j52]Robert Bazdaric
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
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
Robust evolving cloud-based control for the distributed solar collector field. FUZZ-IEEE 2016: 1570-1577 - [c37]Saso Blazic
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
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
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
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
A Robust Evolving Cloud-Based Controller. Handbook of Computational Intelligence 2015: 1435-1449 - 2014
- [j45]Alfredo Núñez
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
A robust fuzzy adaptive law for evolving control systems. Evol. Syst. 5(1): 3-10 (2014) - [j41]José Antonio Iglesias Martinez
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
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
Fuzzy Control of a Helio-Crane - Comparison of Two Control Approaches. J. Intell. Robotic Syst. 72(3-4): 497-515 (2013) - [j37]Derong Liu
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
A practical implementation of self-evolving cloud-based control of a pilot plant. CYBCONF 2013: 7-12 - [c24]Plamen Angelov
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
Solving the sales prediction problem with fuzzy evolving methods. IEEE Congress on Evolutionary Computation 2012: 1-8 - [c20]Saso Blazic
A new fuzzy adaptive law with leakage. EAIS 2012: 47-50 - [c19]Dejan Dovzan, Vito Logar
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
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
Theoretical and fuzzy modelling of a pharmaceutical batch reactor. Math. Comput. Model. 53(5-6): 637-645 (2011) - [j33]Gorazd Karer
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
Supervised Hierarchical Clustering in Fuzzy Model Identification. IEEE Trans. Fuzzy Syst. 19(6): 1163-1176 (2011) - [j31]Luka Teslic, Benjamin Hartmann, Oliver Nelles
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
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
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
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
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
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
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
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
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
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
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
Interval Fuzzy Model Identification Using l∞-Norm. IEEE Trans. Fuzzy Syst. 13(5): 561-568 (2005) - [j10]Igor Skrjanc, Saso Blazic
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
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
Globally stable direct fuzzy model reference adaptive control. Fuzzy Sets Syst. 139(1): 3-33 (2003) - [j7]Igor Skrjanc, Saso Blazic
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
Direct fuzzy model-reference adaptive control. Int. J. Intell. Syst. 17(10): 943-963 (2002) - [j3]Saso Blazic
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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