2022 - Research.com Engineering and Technology in Slovenia Leader Award
Control theory, Fuzzy logic, Model predictive control, Fuzzy control system and Nonlinear system are his primary areas of study. His Control theory study incorporates themes from Simulation and Mobile robot. Igor Škrjanc has included themes like Adaptive control and Cluster analysis in his Fuzzy logic study.
His Model predictive control research integrates issues from Stability, Control engineering, Control theory and Linear model. His Fuzzy control system research includes themes of Process control and Hybrid system. His biological study spans a wide range of topics, including Process, Fuzzy model, State space and Fault detection and isolation.
Igor Škrjanc focuses on Control theory, Fuzzy logic, Model predictive control, Nonlinear system and Fuzzy control system. In his research on the topic of Control theory, Control is strongly related with Control engineering. His Fuzzy logic research incorporates elements of Algorithm, Mathematical optimization and Cluster analysis.
His research in Model predictive control intersects with topics in Fuzzy model, Hybrid system and Control algorithm. The Nonlinear system study combines topics in areas such as Heat exchanger, Fault detection and isolation, Process and Identification. In his research, Cloud computing is intimately related to Process control, which falls under the overarching field of Control theory.
The scientist’s investigation covers issues in Fuzzy logic, Control theory, Algorithm, Artificial intelligence and Cluster analysis. Fuzzy control system is the focus of his Fuzzy logic research. The various areas that he examines in his Control theory study include Process control and Boost converter.
His Boost converter study combines topics from a wide range of disciplines, such as Fuzzy identification and Model predictive control. His Artificial intelligence research also works with subjects such as
Fuzzy logic, Data stream mining, Artificial intelligence, Cluster analysis and Control theory are his primary areas of study. His Fuzzy logic research includes themes of Nonlinear system, Cloud computing and Data mining, Identification. His biological study spans a wide range of topics, including Data modeling, Fuzzy control system, Missing data, Time series and Outlier.
The Fuzzy control system study combines topics in areas such as Covariance matrix and Errors-in-variables models. His Artificial intelligence research includes elements of Control engineering, Human–computer interaction and Pattern recognition. As part of his studies on Control theory, Igor Škrjanc often connects relevant subjects like Process control.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Tracking-error model-based predictive control for mobile robots in real time
Gregor Klančar;Igor Škrjanc.
Robotics and Autonomous Systems (2007)
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
Derong Liu;Murad Abu-Khalaf;Adel M. Alimi;Charles Anderson.
Time optimal path planning considering acceleration limits
Marko Lepetič;Gregor Klančar;Igor Škrjanc;Drago Matko.
Robotics and Autonomous Systems (2003)
Predictive functional control based on fuzzy model for heat-exchanger pilot plant
I. Skrjanc;D. Matko.
IEEE Transactions on Fuzzy Systems (2000)
Technical communique: Identification of dynamical systems with a robust interval fuzzy model
Igor ŠKrjanc;SašO Blaič;Osvaldo Agamennoni.
Recursive clustering based on a Gustafson–Kessel algorithm
Dejan Dovžan;Igor Škrjanc.
Evolving Systems (2011)
Evolving fuzzy and neuro-fuzzy approaches in clustering, regression, identification, and classification: A Survey
Igor Skrjanc;José Antonio Iglesias;Araceli Sanchis;Daniel F. Leite.
Information Sciences (2019)
Implementation of an Evolving Fuzzy Model (eFuMo) in a Monitoring System for a Waste-Water Treatment Process
Dejan Dovzan;Vito Logar;Igor Skrjanc.
IEEE Transactions on Fuzzy Systems (2015)
Recursive fuzzy c-means clustering for recursive fuzzy identification of time-varying processes
Dejan Dovžan;Igor Škrjanc.
Isa Transactions (2011)
Optimal cooperative collision avoidance between multiple robots based on Bernstein-Bézier curves
Igor Škrjanc;Gregor Klančar.
Robotics and Autonomous Systems (2010)
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