Abstract: Identifying the state space representation of a dynamical system during usage enables a controller to adapt quickly in a changing environment. We propose a new method for identifying linear ...
Variational Bayesian Inference for Linear State Space Models with Multivariate Laplace Distributions
Abstract: This paper presents a robust variational Bayesian (VB) method for identifying linear state space models (LSSM) with non-Gaussian observational noise. Appropriate prior information is ...
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