H-Index & Metrics Best Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Electronics and Electrical Engineering D-index 123 Citations 46,750 472 World Ranking 15 National Ranking 3

Research.com Recognitions

Awards & Achievements

2014 - IEEE Fellow For contributions to the theory and industrial applications of networked control systems

Overview

What is he best known for?

The fields of study he is best known for:

  • Control theory
  • Artificial intelligence
  • Statistics

The scientist’s investigation covers issues in Control theory, Linear matrix inequality, Nonlinear system, Fuzzy control system and Lyapunov function. His Control theory research is multidisciplinary, incorporating elements of Stochastic process and Filter. His studies in Linear matrix inequality integrate themes in fields like Control system, Linear system and Markov process.

Huijun Gao has researched Nonlinear system in several fields, including Network packet, Stability, Bounded function, Function and Adaptive system. Huijun Gao interconnects Fuzzy set and Mathematical optimization in the investigation of issues within Fuzzy control system. The various areas that Huijun Gao examines in his Lyapunov function study include Artificial neural network and Parametric statistics.

His most cited work include:

  • A new delay system approach to network-based control (979 citations)
  • Network-Induced Constraints in Networked Control Systems—A Survey (742 citations)
  • Data-Based Techniques Focused on Modern Industry: An Overview (664 citations)

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

Huijun Gao mainly investigates Control theory, Nonlinear system, Linear matrix inequality, Control theory and Mathematical optimization. His Control theory study combines topics from a wide range of disciplines, such as Control engineering and Filter. His research integrates issues of Random variable and Applied mathematics in his study of Filter.

His Nonlinear system research includes themes of Adaptive system, Actuator and Fuzzy control system, Fuzzy logic. His research in Linear matrix inequality focuses on subjects like Discrete time and continuous time, which are connected to State. His Control theory study frequently draws parallels with other fields, such as Control system.

He most often published in these fields:

  • Control theory (70.17%)
  • Nonlinear system (20.33%)
  • Linear matrix inequality (17.33%)

What were the highlights of his more recent work (between 2016-2021)?

  • Control theory (70.17%)
  • Nonlinear system (20.33%)
  • Artificial intelligence (9.33%)

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

His main research concerns Control theory, Nonlinear system, Artificial intelligence, Control theory and Computer vision. His Actuator, Adaptive system, Backstepping, Sliding mode control and Control system study are his primary interests in Control theory. His work deals with themes such as Artificial neural network and Fuzzy control system, Fuzzy logic, which intersect with Nonlinear system.

In his research on the topic of Control theory, Algorithm is strongly related with Stability. The Computer vision study combines topics in areas such as Robot and Visualization. His Support vector machine research is multidisciplinary, relying on both Classifier and Segmentation.

Between 2016 and 2021, his most popular works were:

  • Extended State Observer-Based Sliding-Mode Control for Three-Phase Power Converters (293 citations)
  • Observer-Based Fuzzy Adaptive Event-Triggered Control for Pure-Feedback Nonlinear Systems With Prescribed Performance (233 citations)
  • Adaptive Fuzzy Control for Nontriangular Structural Stochastic Switched Nonlinear Systems With Full State Constraints (184 citations)

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

  • Artificial intelligence
  • Control theory
  • Statistics

Huijun Gao spends much of his time researching Control theory, Nonlinear system, Actuator, Control theory and Adaptive system. His Control theory study combines topics in areas such as Artificial neural network, Estimator and Control engineering. His work carried out in the field of Nonlinear system brings together such families of science as Compensation and Fuzzy control system.

His Actuator study integrates concerns from other disciplines, such as Sampling, Fault tolerance, Residual, Filter and Noise measurement. His Control theory study incorporates themes from Data-driven, Information technology, Lyapunov function and Synchronization. His work on Robust control as part of general Control system research is often related to Class, thus linking different fields of science.

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

A new delay system approach to network-based control

Huijun Gao;Tongwen Chen;James Lam.
Automatica (2008)

1273 Citations

Network-Induced Constraints in Networked Control Systems—A Survey

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

904 Citations

${\cal H}_{\infty}$ Estimation for Uncertain Systems With Limited Communication Capacity

Huijun Gao;Tongwen Chen.
IEEE Transactions on Automatic Control (2007)

816 Citations

Technical communique: Asynchronously switched control of switched linear systems with average dwell time

Lixian Zhang;Huijun Gao.
Automatica (2010)

780 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

New Results on Stability of Discrete-Time Systems With Time-Varying State Delay

Huijun Gao;Tongwen Chen.
IEEE Transactions on Automatic Control (2007)

729 Citations

A Combined Adaptive Neural Network and Nonlinear Model Predictive Control for Multirate Networked Industrial Process Control

Tong Wang;Huijun Gao;Jianbin Qiu.
IEEE Transactions on Neural Networks (2016)

655 Citations

State Estimation and Sliding-Mode Control of Markovian Jump Singular Systems

Ligang Wu;Peng Shi;Huijun Gao.
IEEE Transactions on Automatic Control (2010)

596 Citations

New Delay-Dependent Exponential $H_{\infty}$ Synchronization for Uncertain Neural Networks With Mixed Time Delays

H.R. Karimi;Huijun Gao.
systems man and cybernetics (2010)

574 Citations

Robust $H_{\infty }$ Fuzzy Output-Feedback Control With Multiple Probabilistic Delays and Multiple Missing Measurements

Hongli Dong;Zidong Wang;Daniel W C Ho;Huijun Gao.
IEEE Transactions on Fuzzy Systems (2010)

528 Citations

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Best Scientists Citing Huijun Gao

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Wei Xing Zheng

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Zheng-Guang Wu

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