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Author

Peter J. Seiler

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#machine learning Preprint Sep 2026

Scalable Incremental Robustness Analysis of Neural Network Feedback Systems

Semidefinite programming (SDP) certificates for feedback systems containing deep neural networks (NNs) typically scale with the total number of neurons, whereas small-gain tests are scalable but can be highly conservative. This paper develops a unified and scalable framework for incremental robust stability and perform...

Zi-Cheng Wang, Peter J. Seiler, G. Dullerud et al. · 0 citations
Jul 2026

Data-Driven Stability and Performance Analysis of Lurye Systems

This paper develops data-driven conditions for certifying internal stability and induced-$\ell_2$ performance of discrete-time Lurye systems. The Lurye system is an interconnection of a nominal LTI system in feedback with a static, memoryless nonlinearity. The nonlinearity satisfies a known set of quadratic constraints...

S. Noori, Peter J. Seiler · 0 citations

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