Abstract: In this study, the skewed and asymmetric measurement noise is considered and solved in the identification of linear parameter varying (LPV) systems and a new robust global identification ...

Abstract: The kernel-based inverse system identification framework enables accurate identification of systems with non-minimum phase dynamics, greatly expanding the potential of non-causal system ...

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This repository includes source code for training and evaluating meta-learning for system identification and control via neural state-space models, proposed in IFAC World Congress paper: ...

nSTAT is an open-source, object-oriented Matlab toolbox that implements a range of models and algorithms for neural spike train data analysis. Such data are frequently obtained from neuroscience ...