H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Electronics and Electrical Engineering H-index 93 Citations 28,481 590 World Ranking 67 National Ranking 1

Overview

What is he best known for?

The fields of study he is best known for:

  • Control theory
  • Artificial intelligence
  • Mathematical analysis

The scientist’s investigation covers issues in Control theory, Artificial neural network, Linear matrix inequality, Control theory and Exponential stability. His Control theory study frequently involves adjacent topics like Stability criterion. His Artificial neural network research includes elements of Stability, Symmetric matrix, Interval and Synchronization.

His studies deal with areas such as Norm, Lyapunov stability and Convex optimization as well as Linear matrix inequality. His biological study deals with issues like Control, which deal with fields such as Markov jump. His biological study spans a wide range of topics, including Zero and State.

His most cited work include:

  • Extended Dissipative State Estimation for Markov Jump Neural Networks With Unreliable Links (336 citations)
  • Stability of time-delay systems via Wirtinger-based double integral inequality (259 citations)
  • Reliable mixed passive and ℋ∞ filtering for semi‐Markov jump systems with randomly occurring uncertainties and sensor failures (246 citations)

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

His main research concerns Control theory, Control theory, Nonlinear system, Artificial neural network and Exponential stability. His study in Control theory is interdisciplinary in nature, drawing from both Interval and Fuzzy logic. The Nonlinear system study combines topics in areas such as Function, Bounded function and Filter.

The concepts of his Artificial neural network study are interwoven with issues in Stability, State and Synchronization. His Exponential stability research focuses on Stability criterion and how it connects with Circle criterion. He studied Linear matrix inequality and Convex optimization that intersect with Mathematical optimization.

He most often published in these fields:

  • Control theory (78.16%)
  • Control theory (21.70%)
  • Nonlinear system (21.56%)

What were the highlights of his more recent work (between 2019-2021)?

  • Control theory (78.16%)
  • Nonlinear system (21.56%)
  • Control theory (21.70%)

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

Ju H. Park focuses on Control theory, Nonlinear system, Control theory, Fuzzy logic and Artificial neural network. His study ties his expertise on Bounded function together with the subject of Control theory. His studies in Nonlinear system integrate themes in fields like Function, Multi-agent system and Fault tolerance.

In Control theory, he works on issues like Exponential stability, which are connected to Applied mathematics. The various areas that Ju H. Park examines in his Fuzzy logic study include Observer, Control system, Convex combination and Asynchronous communication. His Artificial neural network study combines topics from a wide range of disciplines, such as Memristor, Reaction–diffusion system and Synchronization.

Between 2019 and 2021, his most popular works were:

  • Hidden Markov Model-Based Nonfragile State Estimation of Switched Neural Network With Probabilistic Quantized Outputs (92 citations)
  • Quantized Nonstationary Filtering of Networked Markov Switching RSNSs: A Multiple Hierarchical Structure Strategy (74 citations)
  • Reliable Event-Triggered Asynchronous Extended Passive Control for Semi-Markov Jump Fuzzy Systems and Its Application (55 citations)

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

  • Control theory
  • Artificial intelligence
  • Mathematical analysis

Ju H. Park mainly focuses on Control theory, Control theory, Fuzzy logic, Nonlinear system and Fuzzy control system. Ju H. Park works on Control theory which deals in particular with Actuator. His work carried out in the field of Control theory brings together such families of science as Upper and lower bounds, State, Interval and Stability theory.

His research integrates issues of Observer, Convex combination, Discrete time and continuous time and Applied mathematics in his study of Fuzzy logic. His Nonlinear system study incorporates themes from Norm, Bounded function and Filter. His Artificial neural network research is multidisciplinary, relying on both Stability, Memristor and Synchronization.

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

Synchronization of Genesio chaotic system via backstepping approach

Ju H. Park.
Chaos Solitons & Fractals (2006)

354 Citations

Extended Dissipative State Estimation for Markov Jump Neural Networks With Unreliable Links

Hao Shen;Yanzheng Zhu;Lixian Zhang;Ju H. Park.
IEEE Transactions on Neural Networks (2017)

342 Citations

A novel criterion for delayed feedback control of time-delay chaotic systems

J.H. Park;O.M. Kwon.
Chaos Solitons & Fractals (2005)

313 Citations

Stability of time-delay systems via Wirtinger-based double integral inequality

MyeongJin Park;OhMin Kwon;Ju H. Park;SangMoon Lee.
Automatica (2015)

293 Citations

Reliable mixed passive and ℋ∞ filtering for semi‐Markov jump systems with randomly occurring uncertainties and sensor failures

Hao Shen;Hao Shen;Zheng-Guang Wu;Ju H. Park.
International Journal of Robust and Nonlinear Control (2015)

239 Citations

Adaptive synchronization of hyperchaotic Chen system with uncertain parameters

Ju H. Park.
Chaos Solitons & Fractals (2005)

206 Citations

LMI optimization approach on stability for delayed neural networks of neutral-type

Ju H. Park;O. M. Kwon;Sang-Moon Lee.
Applied Mathematics and Computation (2008)

202 Citations

Robust extended dissipative control for sampled-data Markov jump systems

Hao Shen;Ju H. Park;Lixian Zhang;Zheng-Guang Wu.
International Journal of Control (2014)

199 Citations

Adaptive synchronization of fractional-order memristor-based neural networks with time delay

Haibo Bao;Haibo Bao;Ju H. Park;Jinde Cao;Jinde Cao.
Nonlinear Dynamics (2015)

192 Citations

Finite-time H∞ fuzzy control of nonlinear Markovian jump delayed systems with partly uncertain transition descriptions

Jun Cheng;Ju H. Park;Yajuan Liu;Zhijun Liu.
Fuzzy Sets and Systems (2017)

192 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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