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.
· International Journal of Net... · 0 citations