collaborators

8 papers

math.OC2026

Koopman Observability of Nonlinear Systems and Data-Driven Koopman--Luenberger Observer

Wentao Tang

While nonlinear systems can be generally described as infinite-dimensional linear systems via their Koopman semigroups, the direct synthesis of state observers on the premise of le…

eess.SY2026

Stochastic MPC under Heavy-Tailed Disturbances: An Extreme Value Theory Approach

Xiuzhen Ye, Wentao Tang

Safety-critical control systems must contend with disturbances whose extreme deviations occur far more frequently than classical light-tailed models predict. Existing stochastic MP…

eess.SY2026

Data-Driven Domain of Attraction Estimation via Convergent Koopman-Zubov Approximation

Wentao Tang

The computation of a domain of attraction (DOA) around an equilibrium point is a key issue in nonlinear stability analysis, which boils down to the difficult problem of searching f…

eess.SY2026

Dissipativity Analysis of Nonlinear Systems: A Linear--Radial Kernel-based Approach

Xiuzhen Ye, Wentao Tang

Estimating the dissipativity of nonlinear systems from empirical data is useful for the analysis and control of nonlinear systems, especially when an accurate model is unavailable.…

eess.SY2025

Koopman Operator for Stability Analysis: Theory with a Linear--Radial Product Reproducing Kernel

Wentao Tang, Xiuzhen Ye

Koopman operator, as a fully linear representation of nonlinear dynamical systems, if well-defined on a reproducing kernel Hilbert space (RKHS), can be efficiently learned from dat…

eess.SY2025

Technical Report for Dissipativity Learning in Reproducing Kernel Hilbert Space

Xiuzhen Ye, Wentao Tang

This work presents a nonparametric framework for dissipativity learning in reproducing kernel Hilbert spaces, which enables data-driven certification of stability and performance p…

eess.SY2025

EDMD-Based Robust Observer Synthesis for Nonlinear Systems

Xiuzhen Ye, Wentao Tang

This paper presents a data-driven approach for designing state observers for continuous-time nonlinear systems, where an extended dynamic mode decomposition (EDMD) procedure is use…

eess.SY2025

Process Resilience under Optimal Data Injection Attacks

Xiuzhen Ye, Wentao Tang

In this paper, we study the resilience of process systems in an {\it information-theoretic framework}, from the perspective of an attacker capable of optimally constructing data in…