We are delighted to announce that our student's paper, "Systematic Control Design for a Half-Bridge Single-Phase Inverter Using LMI-Based Approach," received the Best Paper Award at GTSD 2026.

This work introduces a systematic control design methodology that formulates controller synthesis as an LMI optimization problem, removing the need for manual tuning while guaranteeing closed-loop stability. The proposed controller integrates state-feedback, integral action, and a digital all-pass filter to achieve precise voltage regulation and zero steady-state error in a half-bridge single-phase inverter.

The proposed approach delivers fast transient response, stable operation, and high-quality sinusoidal output voltage, demonstrating its potential for reliable and efficient power conversion in low- and medium-power applications.

We are honored to receive the Best Paper Award at ICA-SYMP 2025 for our paper “Current Balancing Control for a Grid-Connected Inverter under Grid Voltage Sag Using LMI.” The study proposes an LMI-based control strategy that ensures stable operation, fast dynamic response, and zero steady-state error in grid-connected inverters under voltage sag conditions.

The proposed method significantly improves current balancing, reducing the current unbalance factor to 0.5% compared to 15% in conventional approaches, highlighting its strong potential for enhancing power quality and reliability in smart grid and renewable energy applications.

Another proud achievement for our team, we received the Best Paper Award at ICO 2023 for our paper “Off-Board Charger for Electric Vehicle Using LMI-Based Optimizing Control.” This work presents an LMI-based optimal control framework for EV chargers, combining state feedback and integral control to ensure accurate regulation of voltage and current while maintaining system stability.

The proposed design demonstrates fast dynamic response, high efficiency, and reduced hardware complexity by eliminating the need for additional converters, highlighting its strong potential for advancing electric vehicle charging systems and smart energy applications.