3 papers
eess.SY2026
Polynomial Constraints for Robustness Analysis of Nonlinear Systems
Neelay Junnarkar, Peter Seiler, Murat Arcak
This paper presents a framework for abstracting uncertain or non-polynomial components of dynamical systems using polynomial constraints. This enables the application of polynomial…
eess.SY2026
Learning Neural Network Controllers with Certified Robust Performance via Adversarial Training
Neelay Junnarkar, Yasin Sonmez, Murat Arcak
Neural network (NN) controllers achieve strong empirical performance on nonlinear dynamical systems, yet deploying them in safety-critical settings requires robustness to disturban…
eess.SY2024
Stability Margins of Neural Network Controllers
Neelay Junnarkar, Murat Arcak, Peter Seiler
We present a method to train neural network controllers with guaranteed stability margins. The method is applicable to linear time-invariant plants interconnected with uncertaintie…