A5016092617- Vehicle Dynamics and Control Systems
- Autonomous Vehicle Technology and Safety
- Hydraulic and Pneumatic Systems
- Fault Detection and Control Systems
- Control and Dynamics of Mobile Robots
- Advanced Control Systems Optimization
- Iterative Learning Control Systems
- Soil Mechanics and Vehicle Dynamics
- Sensorless Control of Electric Motors
- Real-time simulation and control systems
- Electric and Hybrid Vehicle Technologies
- Mechanical Engineering and Vibrations Research
- Traffic control and management
- Robotic Path Planning Algorithms
- Simulation and Modeling Applications
- Adaptive Control of Nonlinear Systems
- Industrial Technology and Control Systems
- Engineering Applied Research
- Electronic Packaging and Soldering Technologies
- Occupational Health and Safety Research
- Risk and Safety Analysis
- Advanced Memory and Neural Computing
- Elevator Systems and Control
- Advanced Control Systems Design
- Robotics and Automated Systems
Hankyong National University
2017-2024
Korea Research Institute of Chemical Technology
2024
Korea University of Science and Technology
2024
Chungbuk National University
2012-2023
Seoul National University
2013-2019
Honam University
2016-2018
Andong National University
2015
Hyundai Heavy Industries (South Korea)
2014
Korea Institute of Machinery and Materials
2014
Korea Institute of Maritime and Fisheries Technology
2005
Recently, in various fields, research into the path tracking of autonomous vehicles and automated guided has been conducted to improve worker safety, convenience, work efficiency. For systems applied driving technology, it is necessary recognize surrounding environment, determine technology accordingly, develop control methods. Various sensors artificial-intelligence-based perception methods have limitations that they must learn a large amount data. Therefore, particle-filter-based algorithm...
This paper presents a sliding mode control (SMC)-based path-tracking algorithm for autonomous vehicles by considering model-free adaptive feedback actions. In vehicles, safe path tracking requires and robust algorithms because driving environment vehicle conditions vary in real time. this study, the SMC was adopted as method to adjust switching gain, taking into account surface unknown uncertainty make error zero. The can be designed mathematically, but it is difficult express...
This paper presents a sliding mode-based adaptive fault detection and emergency control algorithm for implementation in fail-safe systems of autonomous vehicles. The overall is comprised part part. For the former, mode observer-based algorithms were developed environment chassis sensors, including LiDAR, Radar, acceleration sensors. Unidentified signals from sensors are reconstructed through observer. reconstruction based on MIT rule use an estimated sensitivity parameter. latter,...
Electric vehicles (EVs) use numerous Li-ion battery cells to obtain the pack voltage of hundreds volts and capacities tens kWh. EV management systems (BMSs) monitor control state-of-charge (SOC) state-of-health (SOH) each cell improve energy efficiency address safety concerns while charging discharging. To estimate SOC/SOH from open-circuit-voltage (OCV) a cell, precise measurements (V <inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">CELL</inf> )...
Senescence, a hallmark of aging, is factor in age-related diseases (ARDs). Therefore, targeting senescence widely regarded as practicable method for modulating the effects aging and ARDs. Here, we report identification regorafenib, an inhibitor multiple receptor tyrosine kinases, senescence-attenuating drug. We identified regorafenib by screening FDA-approved drug library. Treatment with at sublethal dose resulted effective attenuation phenotypes βPIX knockdown- doxorubicin-induced...
This paper presents a laser scanner–based predictive safety system for excavators. Blind spots on excavators and operators’ carelessness cause majority of fatal accidents, such as those in which deaths occur due to collisions with objects construction site. A proper can enhance the vehicles sites. In this study, control algorithm collision avoidance was developed utilizing kinematics dynamic model based working area object behavior predictions. The behaviors were predicted by considering...
The study investigates on the optimized steering wheel angle for minimum turning radius of all-terrain crane by applying a model predictive control (MPC) strategy. For this, simplified linear bicycle and error dynamic are firstly derived with multi-axle system. Then, MPC controller is designed an optimal objective function to minimize vehicle radius. corresponding at different speeds analyzed in MATLAB/Simulink environment.
Control delay phenomena, such as time delays and actuator lags, can compromise the control performance of autonomous mobility systems, leading to increased errors. Therefore, it is essential develop a compensation algorithm. This paper proposes Lyapunov-based backstepping steering algorithm compensate for in systems. To estimate system, Recursive Least Squares (RLS) was employed calculate constant real time. The estimated using an RLS designed based on first-order differential equation. A...
This paper presents a longitudinal and lateral predictive driver model. The model has been designed for closed loop simulation of vehicle-driver system. Preview, prediction, manipulation update speed planning characteristics are considered as human characteristics. Human generally decelerates when the drives on curved path not to exceed expected acceleration by driver. In this paper, Model Predictive Control (MPC) is used represent MPC design incorporates all constraints state, control...
This paper presents a data-driven adaptive steady state-integral-derivative (SS-ID) control algorithm that uses gradient descent and recursive least squares (RLS) with forgetting factor. A simplified first-order differential equation of the system was designed its parameters were estimated in real-time using RLS algorithm. The steady-state input for target-state tracking derived based on performance conditions. integrated error to gain least-squares method, saved past data finite sliding...
Emphysema is a chronic obstructive lung disease characterized by inflammation and enlargement of the air spaces. Regorafenib, potential senomorphic drug, exhibited therapeutic effect in porcine pancreatic elastase (PPE)-induced emphysema mice. In current study we examined preventive role regorafenib development emphysema. Lung function tests morphometry showed that oral administration (5 mg/kg/day) for seven days after instillation PPE resulted attenuation Mechanistically, reduced...
This paper presents a novel design and control method of an active suspension system using linear pump control–based hydraulic for cost-effective application. Various systems have been proposed applied to vehicles due its ability improve ride comfort handling performance even though these are not popular because their complexity, high cost, heavyweight, low power efficiency. A new type actuator was designed validated herein based on the methods sizing modified scheme address aforementioned...