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Zhao-Sheng Xu

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Open access Jul 2026

Sparse Ergodic Control with Control-Dependent Noise via Physics-Informed Neural Networks

To address the discontinuous ℓ0-type sparsity penalty, smooth non-convex sparsity approximations are introduced that preserve differentiability while retaining sparse threshold behavior and characterize a quasi-threshold sparse structure of the resulting optimal feedback policies in non-affine stochastic systems with control-dependent noise.

Zhao-Sheng Xu, Jianbang Liu, Mei Choo Ang et al. · Electronics · 0 citations