Young Hoon Joo
Kunsan National University, Yonsei University
Research areas: Engineering · Control and Systems Engineering · Stability and Control of Uncertain Systems · Fuzzy Logic and Control Systems · Advanced Control Systems Design
About
Young Hoon Joo received the B.S., M.S., and Ph.D. degrees in electrical engineering from Yonsei University, Seoul, South Korea, in 1982, 1984, and 1995, respectively.
He was a Project Manager with Samsung Electronics Company, Seoul, from 1986 to 1995. He was a Visiting Professor with the Department of Electrical and Computer Engineering, University of Houston, Houston, TX, USA, from 1998 to 1999. He is currently a Professor with the School of IT Information and Control Engineering, Kunsan National University, Gunsan, South Korea. His current research interests include intelligent robot, intelligent control, wind energy systems, and com- puter vision.
Prof. Joo has served as an Editor-in-Chief for the Intelligent Journal of Control, Automation, and Systems from 2014 to 2017 (IJCAS, IF: 3.143), the President for the Korea Institute of Intelligent Systems in 2009 (KIIS), the Vice-President for the Institute of Control, Robot and Systems from 2016 to 2017 (ICROS), and the President for the Korean Institute of Electrical Engineers in 2019 (KIEE). He is serving as the Director for the Research Center of Wind Energy Systems funded by the Korean Government in Kunsan National University from 2016 to 2024. (E-mail: [email protected])
Employment
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Kunsan National University Professor1995 - Present
Education
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Yonsei University Ph.D1991 - 1995
Projects & Funding
Projects & funding information is unavailable.
Publications (486)
- Cascade-Based Distributed Estimator Tracking Control for Swarm of Multiple Nonholonomic Wheeled Mobile Robots via Leader–Follower Approach Save
- Distributed Observer-Based Adaptive Trajectory Tracking and Formation Control for the Swarm of Nonholonomic Mobile Robots with Unknown Wheel Slippage Save
- Fatigue Load Modeling of Floating Wind Turbines Based on Vine Copula Theory and Machine Learning Save
- Learning a Context-Aware Environmental Residual Correlation Filter via Deep Convolution Features for Visual Object Tracking Save
- The Stabilization of a Nonlinear Permanent-Magnet- Synchronous-Generator-Based Wind Energy Conversion System via Coupling-Memory-Sampled Data Control with a Membership-Function-Dependent H∞ Approach Save
- Fuzzy-Based Integral Sliding Mode Control for PMSM With Fractional Stochastic Disturbances Save
- Three-Level NPC Converter Switch-Open-Circuit Fault Localization for PMSG-Based WTS Using Estimated Phase Angle Deviation Scheme Save
- A Review of State Estimation Techniques for Grid-Connected PMSG-Based Wind Turbine Systems Save
- A note concerning to approximate controllability of Atangana-Baleanu fractional neutral stochastic integro-differential system with infinite delay Save
- Adaptive neural networks-based integral sliding mode control for T-S fuzzy model of delayed nonlinear systems Save
- Adaptive spatial-temporal surrounding-aware correlation filter tracking via ensemble learning Save
- Decentralized observer-based integral sliding mode control design of large-scale interconnected systems and its application to doubly fed induction generator-based wind farm model Save
- Deep optimization of model predictive control performance for wind turbine yaw system based on intelligent fuzzy deduction Save
- Dissipative-based sampled-data control for T-S fuzzy wind turbine system via fragmented-delayed state looped functional approach Save
- Efficiency Enhancement Using Fault-tolerant Sliding Mode Control for PMVG-based WTS Under Actuator Faults Save
- Fault Ride-Through for PMVG-Based Wind Turbine System Using Coordinated Active and Reactive Power Control Strategy Save
- Formation Control and Tracking of Mobile Robots using Distributed Estimators and A Biologically Inspired Approach Save
- Fuzzy sampled-data control of PMSG-based wind turbine systems with random occurring uncertainties Save
- Fuzzy-dependent switched fault-tolerant tracking control for permanent magnet synchronous generator-based wind energy conversion system Save
- H∞ Control design for discrete-time nonlinear delayed systems Save