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20242026
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eess.SY2026

Uncertainty Quantification via Invariant-Measure Conformal Prediction

Mohammadhossein Bakhtiaridoust, Dominik Baumann, Shankar Deka

Uncertainty quantification for learned stochastic dynamical systems is essential in safety-critical tasks such as control and monitoring. Standard conformal prediction provides fin…

eess.SY2026

Data-driven Reachability Verification with Probabilistic Guarantees under Koopman Spectral Uncertainty

Jianqiang Ding, Shankar A. Deka

Providing rigorous reachability guarantees for unknown complex systems is a crucial and challenging task. In this paper, we present a novel data-driven framework that addresses thi…

eess.SY2025

Time-to-reach Bounds for Verification of Dynamical Systems Using the Koopman Spectrum

Jianqiang Ding, Shankar A. Deka

In this work, we present a novel Koopman spectrum-based reachability verification method for nonlinear systems. Contrary to conventional methods that focus on characterizing all po…

eess.SY2025

Backstepping Reach-avoid Controller Synthesis for Multi-input Multi-output Systems with Mixed Relative Degrees

Jianqiang Ding, Dingran Yuan, Shankar A. Deka

Designing controllers with provable formal guarantees has become an urgent requirement for cyber-physical systems in safety-critical scenarios. Beyond addressing scalability in hig…

eess.SY2024

Extensions of the Path-integral formula for computation of Koopman eigenfunctions

Shankar A. Deka, Umesh Vaidya

Representing nonlinear dynamical systems using the Koopman Operator and its spectrum has distinct advantages in terms of linear interpretability of the model as well as in analysis…