単振動の結合確率密度関数を用いて構成した尤度関数を用いたシステム同定

Key Points

• To address the system identification problem in mechanical and structural monitoring when the response is a probabilistic process.
• Utilized a likelihood function constructed from probability density functions of simple harmonic motion.
• Considered effects of varying sampling periods on the identification process.
• Investigated the case where responses deviate from ideal sinusoidal patterns.
• Demonstrated a method to extend traditional system identification approaches under variable sampling conditions.
• Provided insights on how probabilistic responses can be analyzed for accurate parameter estimation.