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Kyung-Soo Kim

Korea Advanced Institute of Science and Technology · Engineering

About the Lab

Professor Kyung-Soo Kim's research lab specializes in advanced control systems, intelligent sensing, and embedded systems with a focus on real-time signal processing, robust control design, and human-centered intelligent technologies. The lab develops innovative solutions in tactile perception systems, video watermarking for digital rights management, and nonlinear state estimation for energy storage systems such as lithium-ion batteries. Key research directions include sliding mode control with performance optimization, disturbance rejection in electric motor drives, and perceptually transparent multimedia security systems. The lab emphasizes practical applicability, combining theoretical rigor with real-world implementation in automotive, robotics, and multimedia applications.

robust controltactile sensingnonlinear observervideo watermarkingbattery state estimation

Research Overview

Papers
275
Total Citations
2,839
Papers (5y)
62
Primary Field
Engineering

Research Output Trend

Figures are computed from collected data and may differ slightly.

Publications per year (5y)
62total
2022
2023
2024
2025
2026
Citations per year (5y)
353total
20222023202420252026

Selected Papers

15
1
Article|144 citations·2000
Designing robust sliding hyperplanes for parametric uncertain systems: a Riccati approach
Kyung-Soo Kim, Youngjin Park, Shi-Hwan Oh
SJR Q1Automatica
Control and Systems EngineeringEngineering
2
Article|141 citations·2013
Reduced order disturbance observer for discrete-time linear systems
Kyung-Soo Kim, Keun-Ho Rew
SJR Q1Automatica
Control and Systems EngineeringEngineering
3
Article|68 citations·2021
Tactile Avatar: Tactile Sensing System Mimicking Human Tactile Cognition
Kyung-Soo Kim, Minkyung Sim, Sung‐Ho Lim, Dong‐Su Kim, Doyoung Lee, Kwonsik Shin, Cheil Moon, Ji‐Woong Choi, Jae Eun Jang
SJR Q1Advanced ScienceOA

Abstract As a surrogate for human tactile cognition, an artificial tactile perception and cognition system are proposed to produce smooth/soft and rough tactile sensations by its user's tactile feeling; and named this system as “tactile avatar”. A piezoelectric tactile sensor is developed to record dynamically various physical information such as pressure, temperature, hardness, sliding velocity, and surface topography. For artificial tactile cognition, the tactile feeling of humans to various t

Cognitive NeuroscienceNeuroscience
4
Article|35 citations·2013
An impulse-time perturbation approach for enhancing the robustness of extra-insensitive input shapers
Keun-Ho Rew, Chang-Wan Ha, Kyung-Soo Kim
SJR Q1Automatica
Control and Systems EngineeringEngineering
5
Article|34 citations·2008
Practical, Real-Time, and Robust Watermarking on the Spatial Domain for High-Definition Video Contents
Kyung-Soo Kim, Haeyeon Lee, Dong-Hyuck Im, Haeng‐Ki Lee
SJR Q3IEICE Transactions on Information and SystemsOA

Commercial markets employ digital right management (DRM) systems to protect valuable high-definition (HD) quality videos. DRM system uses watermarking to provide copyright protection and ownership authentication of multimedia contents. We propose a real-time video watermarking scheme for HD video in the uncompressed domain. Especially, our approach is in aspect of practical perspectives to satisfy perceptual quality, real-time processing, and robustness requirements. We simplify and optimize hum

Computer Vision and Pattern RecognitionComputer Science
6
Article|32 citations·2020
A new controller design method for an electric power steering system based on a target steering torque feedback controller
Dongwook Lee, Byeonggwan Jang, Minwoo Han, Kyung-Soo Kim
SJR Q1Control Engineering Practice
Automotive EngineeringEngineering
7
Article|28 citations·2004
Sliding Mode Design via Quadratic Performance Optimization with Pole-Clustering Constraint
Kyung-Soo Kim, Youngjin Park
SJR Q1SIAM Journal on Control and Optimization

We consider a novel method for designing the sliding mode that minimizes the quadratic performance while keeping a pole-clustering constraint. Our approach is based on the manipulations of linear matrix inequalities (LMIs) imposed by the design objectives. For this purpose, we newly propose LMI conditions for the quadratic performance optimization and the pole-clustering problem, respectively, in a full order state. Then they are combined in the LMI framework that is typically devised for the sl

Control and Systems EngineeringEngineering
8
Article|21 citations·2015
A novel method for device-related electroencephalography artifact suppression to explore cochlear implant-related cortical changes in single-sided deafness
Kyung-Soo Kim, Andrea Kleine Punte, Griet Mertens, Paul Van de Heyning, Kyung‐Joon Park, Hongsoo Choi, Ji‐Woong Choi, Jae‐Jin Song
SJR Q3Journal of Neuroscience Methods
Cognitive NeuroscienceNeuroscience
9
Article|21 citations·2019
A Nonlinear-Model-Based Observer for a State-of-Charge Estimation of a Lithium-Ion Battery in Electric Vehicles
Wooyong Kim, Pyeong‐Yeon Lee, Jonghoon Kim, Kyung-Soo Kim
SJR Q1EnergiesOA

This paper presents a nonlinear-model-based observer for the state of charge estimation of a lithium-ion battery cell that always exhibits a nonlinear relationship between the state of charge and the open-circuit voltage. The proposed nonlinear model for the battery cell and its observer can estimate the state of charge without the linearization technique commonly adopted by previous studies. The proposed method has the following advantages: (1) The observability condition of the proposed nonlin

Automotive EngineeringEngineering
10
Article|17 citations·2019
Practical Approach for Controlling Optical Image Stabilization System
Wooyong Kim, Hyung-Tae Seo, Soohyun Kim, Kyung-Soo Kim
SJR Q2International Journal of Control Automation and Systems
Computer Vision and Pattern RecognitionComputer Science
11
Article|14 citations·2011
A Survey of Control Issues in Optical Data Storage Systems
Kyung-Soo Kim, Seung-Hi Lee, Chung Choo Chung
IFAC Proceedings Volumes
Control and Systems EngineeringEngineering
12
Article|13 citations·2018
A Robust Current Controller for Uncertain Permanent Magnet Synchronous Motors with a Performance Recovery Property for Electric Power Steering Applications
Yong-Hun Kim, Hyung-Tae Seo, Seok‐Kyoon Kim, Kyung-Soo Kim
SJR Q1EnergiesOA

This paper presents a robust current tracking controller for permanent magnet synchronous motors (PMSMs) with a performance recovery property for electric power steering (EPS) applications. The contributions of this work are twofold. First, a disturbance observer (DOB) is designed to compensate the disturbances arising from the model–plant mismatches while reducing the closed-loop sensitivity. Second, a current controller is designed to improve the current tracking performance in the frequency d

Electrical and Electronic EngineeringEngineering
13
Article|13 citations·2023
Robust near-infrared-based plastic classification with relative spectral similarity pattern
Yoo-In Jeon, Woojin Seol, Soohyun Kim, Kyung-Soo Kim, Kyung-Soo Kim
SJR Q1Waste Management
Analytical ChemistryChemistry
14
Article|12 citations·2000
Using scales in the multiobjective approach
Kyung-Soo Kim, Faryar Jabbari
SJR Q1IEEE Transactions on Automatic Control

Scales are used to reduce the conservatism encountered in most multiobjective approaches to control design. The most general case (i.e., matrix scales) results in a nonconvex problem, though the use of scalar scales leads to convex searches in the analysis and state feedback problems. Output feedback synthesis and other extensions are discussed. Numerical examples are provided to show the effectiveness of the suggested approach. The article considers, in particular, H/sup /spl infin// control.

Control and Systems EngineeringEngineering
15
Article|12 citations·2023
Chattering Reduction of Sliding Mode Control via Nonlinear Disturbance Observer for Anti-Lock Braking System and Verification with CarSim Simulation
Minseong Choi, Kyunghwan Choi, Minsu Cho, Minyoung Lee, Kyung-Soo Kim
SJR Q2International Journal of Automotive Technology
Automotive EngineeringEngineering

Research Areas

Biomedical EngineeringControl and Systems EngineeringComputer Vision and Pattern RecognitionAutomotive EngineeringAerospace EngineeringCognitive Neuroscience

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