Asst.Prof.Dr. SUDCHAI BOONTO
| Email: sudchai.boo@kmutt.ac.th Phone: 024709091 |
Work Affiliations
Strategic Research Themes
- Automation (Innovative Materials, Manufacturing and Construction)
- Data Science (Internet of Things)
- Embedded System (Internet of Things)
- Innovative Materials, Manufacturing and Construction (Strategic Research Themes)
- Manufacturing Automation (Automation)
- Modeling Design and Optimization (Computational Science and Engineering)
- Process Automation (Automation)
- Robot and Control (Quality and Life cycle management)
Publications
2 of 2
- ● Robust repetitive control with feedforward scheme for stand-alone inverter; Sintanavevong W., Boonto S., Naetiladdanon S.; 2016; Conference proceedings article
- ● Grid connected inverter control by two-degree-of-freedom robust H ∞ repetitive; Sriart W., Boonto S., Lenwari W., et al.; 2014; Conference proceedings article
- ● Two-degree-of-freedom robust H- repetitive control for grid-connected inverter; Sriart W., Boonto S., Naetiladdanon S., et al.; 2014; Conference proceedings article
- ● Low-complexity LPV input-output identification and control of a turbocharged combustion engine; Kominek A., Remolina S., Boonto S., et al.; 2012; Conference proceedings article
- ● Two-degree-of-freedom H∞ control design for harmonic current control of shunt active filters; Boonto S., Lenwari W.; 2012; Conference proceedings article
- ● Two-degree-of-freedom LPV control for a through-the-road hybrid electric vehicle via torque vectoring; Liu Q., Kaiser G., Boonto S., et al.; 2011; Conference proceedings article
Expertise
- Control System
- Convex Optimization for Control Applications
- Koopman Operator for Dynamical Systems
- Linear Parameter-Varying Control
- Machine Learning
- Machine Learning for Control Applications
- Nonlinear and Linear Time-Varying Systems
- Optimization
- Physical-Informed Neural Network
- Power Electronics Control
- Robust and Gain-Scheduled Control System
- Robust Control
- System Identification
Contact Information
Research, Innovation and Partnerships Office
Working: Monday - Friday time 08:30 - 16:30am.
Email :
research@kmutt.ac.th
Website :
https://ripo.kmutt.ac.th