System Identification

Direct Data-Driven Design of LPV Controllers and Polytopic Invariant Sets with Cross-Covariance Noise Bounds
Direct Data-Driven Computation of Polytopic Robust Control Invariant Sets and State-Feedback Controllers
Direct identification of continuous-time linear switched state-space models
Variational autoencoder for the identification of piecewise models
Variational autoencoder for the identification of piecewise models
Learning neural state-space models: do we need a state estimator?
Direct identification of continuous-time LPV state-space models via an integral architecture
Maximum—A-Posteriori Estimation of Linear Time-Invariant State-Space Models via Efficient Monte-Carlo Sampling
Learning dynamical systems from quantized observations: a Bayesian perspective
An integral architecture for identification of continuous-time state-space LPV models