Posts by Collection

Robust Recurrent Neural Network to Identify Ship Motion in Open Water with Performance Guarantees

Technical report, arXiv, 2022

We represent a recurrent neural network as a linear time-invariant system with nonlinear disturbances and introduce parameter constraints that guarantee finite gain stability, applied to learning ship motion in open water.

Recommended citation: Frank, D., Aspandi Latif, D., Muehlebach, M., Unger, B., & Staab, S. (2022). "Robust recurrent neural network to identify ship motion in open water with performance guarantees." Technical report, arXiv:2212.05781. https://arxiv.org/abs/2212.05781

Learning the Dynamics of Nonlinear Systems with Regional Stability Guarantees through Linear Matrix Inequality Constraints

Accepted at the IFAC World Congress 2026, Busan, South Korea (preprint on arXiv), 2026

We derive linear matrix inequality constraints on recurrent neural network parameters that certify regional stability guarantees for learned nonlinear system dynamics.

Recommended citation: Frank, D., Shakib, F., & Staab, S. (2026). "Learning the dynamics of nonlinear systems with regional stability guarantees through linear matrix inequality constraints." arXiv:2605.18292. Accepted at the IFAC World Congress 2026. https://arxiv.org/abs/2605.18292

Regularised Neural Network-Based Nonlinear System Identification with Prior System Knowledge

International Journal of Control, 2026

We propose a regularisation approach for neural network-based nonlinear system identification that incorporates prior system knowledge.

Recommended citation: Frank, D., Holicki, T., Scherer, C. W., & Staab, S. (2026). "Regularised neural network-based nonlinear system identification with prior system knowledge." International Journal of Control. https://doi.org/10.1080/00207179.2026.2679228

Constrained Residual RNN for Nonlinear System Identification

April 24, 2024

Presented joint work with Tobias Holicki, Steffen Staab, and Carsten W. Scherer at the Workshop on Nonlinear System Identification Benchmarks.

Generalized Sector Conditions for Neural Network Architectures in System Identification

May 12, 2025

Presented joint work with Tobias Holicki and Steffen Staab at the Workshop on Nonlinear System Identification Benchmarks.

Learning the Dynamics of Nonlinear Systems with a Certified Output Set through Linear Matrix Inequalities

April 15, 2026

Presented joint work with Fahim Shakib and Steffen Staab at the Workshop on Nonlinear System Identification Benchmarks.

Teaching experience 1

Undergraduate course, University 1, Department, 2014

This is a description of a teaching experience. You can use markdown like any other post.

Teaching experience 2

Workshop, University 1, Department, 2015

This is a description of a teaching experience. You can use markdown like any other post.