Gain Margin Analysis Based on Positive Realness of Sampled-Data Systems with Direct Feedthrough Terms

Abstract

This paper studies a robustness analysis method based on positive-realness of sampled data systems. It is demonstrated with a numerical example that robust stability margin against uncertainty of physical parameters in the plant can be analyzed easily especially because we can deal with sampled-data systems with direct feedthrough terms.