The paper provides the first controllability and observability analysis for structured state-space models, enabling LMI-based controller synthesis via contraction theory and a separation principle for observers and state feedback.
On the stability properties of gated recurrent units neural networks,
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Controller Design for Structured State-space Models via Contraction Theory
The paper provides the first controllability and observability analysis for structured state-space models, enabling LMI-based controller synthesis via contraction theory and a separation principle for observers and state feedback.