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Maolin Wang

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Open access Aug 2026

Deep Variational System Identification for Nonlinear State-Space Models via Alternating Optimization

A deep variational identification method for nonlinear state-space models based on a structured Gaussian posterior using a non-causal dilated residual convolutional network and a Markov structure with block-tridiagonal precision is proposed to ensure linear-time inference.

Kaiqi Fang, Guijun Ma, Yasen Wang et al. · 0 citations

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