The CTRL Laboratory in the Department of Electrical Engineering at POSTECH (led by Prof. Jeonghoon Kim) has had five papers accepted to the 2025 IEEE Conference on Decision and Control (CDC), which will be held in Rio de Janeiro, Brazil, from December 9 to 12, 2025. This achievement represents a world-class research output for a single laboratory and demonstrates the CTRL Laboratory’s strong research capabilities and international competitiveness.

The IEEE Conference on Decision and Control (CDC), established in 1962, is one of the most prestigious conferences in the field of control systems engineering. The conference is held annually in major cities around the world and attracts approximately 1,700 scientists and engineers each year. It is also one of the few conferences rated “A” in the CORE conference rankings, placing it within the top 15% of international conferences in computer science. In addition, CDC consistently ranks within the top 15 venues in the Google Scholar Automation & Control Theory category, reflecting its global academic impact.

The papers from the CTRL Laboratory accepted to CDC 2025 include the following:

• Dr. Hyungtae Choi, “A Barrier Function-based Approach for Nonlinear L1 Control,” which proposes a control-barrier-function-based analysis and controller design method for nonlinear L1 control.

• Haeyeon Park, “Analysis and Synthesis for the L∞/L2L_{\infty}/L_2L∞​/L2​-Induced Norms of Sampled-Data Systems via a Differential Linear Matrix Inequality Approach,” and “A Differential Linear Matrix Inequality-based Approach to the Worst-Timing-Type L2L_2L2​ Control of Sampled-Data Systems,” which introduce new differential linear matrix inequality approaches for the analysis and design of sampled-data control systems.

• Eoryeong Kang, “The L∞/L2L_{\infty}/L_2L∞​/L2​-Gain Analysis for Sampled-Data Periodic Event-Triggered Control Systems: Discretization Method with Convergence Rate Analysis,” which proposes a new quantitative analysis method and theoretical framework for event-triggered sampled-data control systems.

• Jeonghoon Kim, “A Discretization for Sampled-Data Controller Synthesis of Minimizing the L1L_1L1​-Induced Norm,” which presents a new optimal controller synthesis method for sampled-data systems.