Luca L. Evangelisti
Papers
1
Total Citations
7
H-Index
1
About
Luca L. Evangelisti is a researcher whose work bridges robust control theory and uncertainty quantification, with a particular focus on linear time-varying (LTV) systems. His most-cited paper, "Probabilistic Robustness Analysis of Uncertain LTV Systems in Linear Fractional Representation" (2021, 7 citations), introduces a novel framework for quantifying the effects of random model uncertainty on finite-horizon LTV dynamics. Evangelisti’s key contribution lies in applying polynomial chaos expansion (PCE)—a Hilbert space technique—to approximate the mean and standard deviation of system responses with high accuracy and computational efficiency. This approach offers a powerful alternative to traditional Monte Carlo methods, enabling more tractable robustness analysis for safety-critical applications such as aerospace and autonomous systems. While his citation count is still growing, Evangelisti’s work represents a meaningful step toward integrating probabilistic methods into deterministic control frameworks. His research is particularly valuable for students and engineers seeking to understand how random uncertainties propagate through time-varying systems, and his methodological rigor positions him as an emerging voice in the field of robust and stochastic control.
Research Focus
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Top Papers
- 1