Data-driven estimation of the lower bounds of gain and phase margins

• DOI: 10.1016/j.automatica.2023.111008
• Publication Date: 2023-04-10T22:41:19Z
• Authors: Koto Isoshima; Masaya Tanemura; Yuichi Chida
• Keywords: Margin (machine learning); Phase margin

In this paper, a data-driven method is proposed to estimate lower bounds of the gain and phase margins without mathematical model plant. To stability margins, which are defined in frequency domain, using input/output data, we describe time domain. Then, formulate an optimization problem bound each margin propose iterative algorithm solve problem.