H-Index & Metrics Best Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Electronics and Electrical Engineering D-index 46 Citations 10,140 217 World Ranking 1389 National Ranking 3

Research.com Recognitions

Awards & Achievements

2005 - Anthony J. Hornfeck Service Award

2003 - IEEE Fellow For contributions to variable structure systems theory and its applications in mechatronics.

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Control theory
  • Machine learning

His scientific interests lie mostly in Control theory, Control engineering, Artificial neural network, Artificial intelligence and Fuzzy logic. His Control theory research focuses on Observer, Actuator, Nonlinear system, Trajectory and Tracking error. As part of his studies on Control engineering, Okyay Kaynak often connects relevant areas like Control system.

The concepts of his Artificial neural network study are interwoven with issues in Algorithm, Computation and Jacobian matrix and determinant. His Artificial intelligence research incorporates themes from Machine learning and Mathematical optimization. His work in the fields of Fuzzy logic, such as Fuzzy control system, Neuro-fuzzy and Fuzzy set, overlaps with other areas such as Heading.

His most cited work include:

  • Network-Induced Constraints in Networked Control Systems—A Survey (742 citations)
  • Data-Based Techniques Focused on Modern Industry: An Overview (664 citations)
  • On the stability of discrete-time sliding mode control systems (640 citations)

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

His main research concerns Control theory, Control engineering, Fuzzy logic, Control theory and Fuzzy control system. His Control theory research focuses on Artificial neural network and how it relates to Lyapunov stability. His study in Control engineering is interdisciplinary in nature, drawing from both Control system, Robot and Intelligent control.

The study of Fuzzy logic is intertwined with the study of Algorithm in a number of ways. As a part of the same scientific family, Okyay Kaynak mostly works in the field of Control theory, focusing on Trajectory and, on occasion, Model predictive control. His research in Sliding mode control intersects with topics in Motion control, Tracking error and Robot manipulator.

He most often published in these fields:

  • Control theory (63.01%)
  • Control engineering (28.90%)
  • Fuzzy logic (23.99%)

What were the highlights of his more recent work (between 2013-2021)?

  • Control theory (63.01%)
  • Nonlinear system (23.12%)
  • Control engineering (28.90%)

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

The scientist’s investigation covers issues in Control theory, Nonlinear system, Control engineering, Control theory and Artificial neural network. His study focuses on the intersection of Control theory and fields such as Fuzzy logic with connections in the field of Parameterized complexity. Okyay Kaynak interconnects Fault tolerance, Algorithm, Actuator and Benchmark in the investigation of issues within Nonlinear system.

Attitude control is closely connected to Robustness in his research, which is encompassed under the umbrella topic of Control engineering. His Control theory research is multidisciplinary, incorporating elements of Control system, Servomechanism, Exponential stability and Iterative method. His research links Sliding mode control with Artificial neural network.

Between 2013 and 2021, his most popular works were:

  • Data-Based Techniques Focused on Modern Industry: An Overview (664 citations)
  • Improved PLS Focused on Key-Performance-Indicator-Related Fault Diagnosis (335 citations)
  • Big Data for Modern Industry: Challenges and Trends [Point of View] (241 citations)

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

  • Artificial intelligence
  • Control theory
  • Machine learning

Okyay Kaynak mostly deals with Control theory, Control engineering, Fuzzy control system, Nonlinear system and Fuzzy logic. Actuator, Robustness, Control theory, Observer and Compensation are the subjects of his Control theory studies. The Control engineering study which covers Trajectory that intersects with System dynamics and Tractor.

His research investigates the connection with Fuzzy control system and areas like Adaptive control which intersect with concerns in Linear matrix inequality. His Nonlinear system research includes themes of Data-driven, Benchmark and Fault detection and isolation. His Fuzzy logic study integrates concerns from other disciplines, such as Particle swarm optimization and Time series.

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.

Best Publications

Network-Induced Constraints in Networked Control Systems—A Survey

Lixian Zhang;Huijun Gao;O. Kaynak.
IEEE Transactions on Industrial Informatics (2013)

904 Citations

Grey system theory-based models in time series prediction

Erdal Kayacan;Baris Ulutas;Okyay Kaynak.
Expert Systems With Applications (2010)

900 Citations

On the stability of discrete-time sliding mode control systems

S. Sarpturk;Y. Istefanopulos;O. Kaynak.
IEEE Transactions on Automatic Control (1987)

888 Citations

Data-Based Techniques Focused on Modern Industry: An Overview

Shen Yin;Xianwei Li;Huijun Gao;Okyay Kaynak.
IEEE Transactions on Industrial Electronics (2015)

751 Citations

Big Data for Modern Industry: Challenges and Trends [Point of View]

Shen Yin;Okyay Kaynak.
Proceedings of the IEEE (2015)

519 Citations

Sliding-Mode Control With Soft Computing: A Survey

Xinghuo Yu;O. Kaynak.
IEEE Transactions on Industrial Electronics (2009)

498 Citations

Robust and adaptive backstepping control for nonlinear systems using RBF neural networks

Yahui Li;Sheng Qiang;Xianyi Zhuang;O. Kaynak.
IEEE Transactions on Neural Networks (2004)

452 Citations

Improved PLS Focused on Key-Performance-Indicator-Related Fault Diagnosis

Shen Yin;Xiangping Zhu;Okyay Kaynak.
IEEE Transactions on Industrial Electronics (2015)

448 Citations

Finite Frequency $H_{\infty }$ Control for Vehicle Active Suspension Systems

Weichao Sun;Huijun Gao;O Kaynak.
IEEE Transactions on Control Systems and Technology (2011)

394 Citations

The fusion of computationally intelligent methodologies and sliding-mode control-a survey

O. Kaynak;K. Erbatur;M. Ertugnrl.
IEEE Transactions on Industrial Electronics (2001)

360 Citations

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