A Novel Schur-Decomposition-Based Weight Projection Method for Stable State-Space Neural-Network Architectures
The paper introduces a new method to build stable black-box models for neural networks representing dynamical systems. It uses a projection scheme based on Schur decomposition to ensure that the resulting state-space layers maintain asymptotic stability, which is crucial for reliable system dynamics.