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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-Driven Reachability Analysis Using Matrix Perturbation Theory

Peng Xie, Abdulla Fawzy, Zhen Zhang +1

We propose a matrix zonotope perturbation framework that leverages matrix perturbation theory to characterize how noise-induced distortions alter the dynamics within sets of models…

eess.SY2026

From Points to Sets: Set-Based Safety Verification in the Latent Space

Wenyuan Wu, Peng Xie, Zhen Zhang +3

We extend latent representation methods for safety control design to set-valued states. Recent work has shown that barrier functions designed in a learned latent space can transfer…

eess.SY2026

Bridging Data-Driven Reachability Analysis and Statistical Estimation via Constrained Matrix Convex Generators

Peng Xie, Zhen Zhang, Rolf Findeisen +1

Data-driven reachability analysis enables safety verification when first-principles models are unavailable. This requires constructing sets of system models consistent with measure…

eess.SY2026

Data-Driven Nonconvex Reachability Analysis using Exact Set Propagation

Zhen Zhang, M. Umar B. Niazi, Michelle S. Chong +2

This paper studies deterministic data-driven reachability analysis for dynamical systems with unknown dynamics and nonconvex reachable sets. Existing deterministic data-driven appr…

eess.SY2026

Transformer-Enhanced Data-Driven Output Reachability with Conformal Coverage Guarantees

Zhen Zhang, Peng Xie, Wenyuan Wu +2

This paper considers output reachability analysis for linear time-invariant systems with unknown state-space matrices and unknown observation map, given only noisy input-output mea…

eess.SY2026

Transformer-Accelerated Interpolated Data-Driven Reachability Analysis from Noisy Data

Zhen Zhang, Ahmad Hafez, Peng Xie +3

Data-driven reachability analysis provides guaranteed outer approximations of reachable sets from input-state measurements, yet each propagation step requires a matrix-zonotope mul…

eess.SY2026

Conformalized Data-Driven Reachability Analysis with PAC Guarantees

Yanliang Huang, Zhen Zhang, Peng Xie +2

Data-driven reachability analysis computes over-approximations of reachable sets directly from noisy data. Existing deterministic methods require either known noise bounds or syste…

eess.SY2025

Hybrid Polynomial Zonotopes: A Set Representation for Reachability Analysis in Hybrid Nonaffine Systems

Peng Xie, Zhen Zhang, Amr Alanwar

Reachability analysis for hybrid nonaffine systems remains computationally challenging, as existing set representations--including constrained, polynomial, and hybrid zonotopes--ei…

eess.SY2025

Data-Driven Nonconvex Reachability Analysis using Exact Multiplication

Zhen Zhang, M. Umar B. Niazi, Michelle S. Chong +2

This paper addresses a fundamental challenge in data-driven reachability analysis: accurately representing and propagating non-convex reachable sets. We propose a novel approach us…