Development of Data-Collection Algorithms and Data-Driven Control Methods for Guaranteed Stabilization of Nonlinear Systems with Uncertain Equilibria and Orbits

• Project/Area Number: 23K03913
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Review Section: Basic Section 21040:Control and system engineering-related
• Research Institution: Shibaura Institute of Technology
• Principal Investigator: CETINKAYA AHMET 芝浦工業大学, 工学部, 准教授 (60851730)
• Project Period (FY): 2023-04-01 – 2026-03-31
• Project Status: Granted (Fiscal Year 2023)
• Budget Amount: ¥2,600,000 (Direct Cost: ¥2,000,000、Indirect Cost: ¥600,000); Fiscal Year 2025: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000); Fiscal Year 2024: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000); Fiscal Year 2023: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000)
• Keywords: Control systems / Data-driven control / Nonlinear control / Machine learning / Stochastic systems

Outline of Research at the Start

This project aims to utilize switched stochastic systems theory, data-driven control theory, and nonlinear functional analysis to develop new data-collection algorithms and data-driven control methods that provide mathematical guarantees for stabilization of nonlinear systems.