H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Engineering and Technology H-index 35 Citations 4,878 209 World Ranking 3571 National Ranking 3

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Control theory
  • Machine learning

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.

His most cited work include:

  • Tracking-error model-based predictive control for mobile robots in real time (299 citations)
  • IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (130 citations)
  • Time optimal path planning considering acceleration limits (110 citations)

What are the main themes of his work throughout his whole career to date?

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.

He most often published in these fields:

  • Control theory (41.18%)
  • Fuzzy logic (31.99%)
  • Model predictive control (22.79%)

What were the highlights of his more recent work (between 2015-2021)?

  • Fuzzy logic (31.99%)
  • Control theory (41.18%)
  • Algorithm (9.56%)

In recent papers he was focusing on the following fields of study:

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

  • Neuro-fuzzy most often made with reference to Machine learning,
  • Computer vision that connect with fields like Real-time computing. His research in Mobile robot intersects with topics in Robotics and Motion planning.

Between 2015 and 2021, his most popular works were:

  • Evolving fuzzy and neuro-fuzzy approaches in clustering, regression, identification, and classification: A Survey (76 citations)
  • Incremental Rule Splitting in Generalized Evolving Fuzzy Systems for Autonomous Drift Compensation (46 citations)
  • Short-Term Load Forecasting by Separating Daily Profiles and Using a Single Fuzzy Model Across the Entire Domain (37 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Control theory
  • Machine learning

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.

Top Publications

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

Gregor Klančar;Igor Škrjanc.
Robotics and Autonomous Systems (2007)

459 Citations

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS

Derong Liu;Murad Abu-Khalaf;Adel M. Alimi;Charles Anderson.
(2015)

196 Citations

Time optimal path planning considering acceleration limits

Marko Lepetič;Gregor Klančar;Igor Škrjanc;Drago Matko.
Robotics and Autonomous Systems (2003)

186 Citations

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

I. Skrjanc;D. Matko.
IEEE Transactions on Fuzzy Systems (2000)

147 Citations

Technical communique: Identification of dynamical systems with a robust interval fuzzy model

Igor ŠKrjanc;SašO Blaič;Osvaldo Agamennoni.
Automatica (2005)

140 Citations

Recursive clustering based on a Gustafson–Kessel algorithm

Dejan Dovžan;Igor Škrjanc.
Evolving Systems (2011)

117 Citations

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)

103 Citations

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)

100 Citations

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

Dejan Dovžan;Igor Škrjanc.
Isa Transactions (2011)

97 Citations

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

Igor Škrjanc;Gregor Klančar.
Robotics and Autonomous Systems (2010)

97 Citations

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.

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