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eess.SY2026
Reachability Analysis With Probabilistic Zonotopes: Learning Realized Disturbances and Refining Aleatory Uncertainty
Amir Modares, Zhen Zhang, Themistoklis Charalambous +2
This paper develops a data-driven reachability framework for linear systems whose disturbances are modeled by probabilistic zonotopes (PZs), combining bounded deterministic and Gau…
eess.SY2026
Data-based Low-conservative Nonlinear Safe Control Learning
Amir Modares, Bahare Kiumarsi, Hamidreza Modares
This paper develops a data-driven safe control framework for nonlinear discrete-time systems with parametric uncertainty and additive disturbances. The proposed approach constructs…