# Non-linear State-space Model Identification from Video Data using Deep Encoders

@article{Beintema2021NonlinearSM, title={Non-linear State-space Model Identification from Video Data using Deep Encoders}, author={Gerben Izaak Beintema and Roland T{\'o}th and Maarten Schoukens}, journal={ArXiv}, year={2021}, volume={abs/2012.07721} }

## 3 Citations

On compression rate of quantum autoencoders: Control design, numerical and experimental realization

- Computer ScienceArXiv
- 2020

The upper bound of the compression rate is theoretically proven using eigen-decomposition and matrix differentiation, which is determined by the eigenvalues of the density matrix representation of the input states.

Deep Identification of Nonlinear Systems in Koopman Form

- Computer Science2021 60th IEEE Conference on Decision and Control (CDC)
- 2021

The present paper treats the identification of nonlinear dynamical systems using Koopman-based deep state-space encoders using the the deepSI toolbox in Python to lower the computational need of the simulation error-based training.

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