Smoothing for continuous dynamical state space models with sampled system coefficients based on sparse kernel learning

Research article (Nonlinear Dynamics, 2020) · cited 13× · AI/ML
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Smoothing for continuous dynamical state space models with sampled system coefficients based on sparse kernel learning

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Smoothing for continuous dynamical state space models with sampled system coefficients based on sparse kernel learning is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Smoothing for continuous dynamical state space models with sampled system coefficients based on sparse kernel learning. Retrieved May 24, 2026, from https://4ort.xyz/entity/smoothing-for-continuous-dynamical-state-space-models-with-sampled-system-coefficients-based-on-sparse-kernel-learning
MLA “Smoothing for continuous dynamical state space models with sampled system coefficients based on sparse kernel learning.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/smoothing-for-continuous-dynamical-state-space-models-with-sampled-system-coefficients-based-on-sparse-kernel-learning.
BibTeX @misc{4ortxyz_smoothing-for-continuous-dynamical-state-space-models-with-sampled-system-coefficients-based-on-sparse-kernel-learning_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Smoothing for continuous dynamical state space models with sampled system coefficients based on sparse kernel learning}}, year = {2026}, url = {https://4ort.xyz/entity/smoothing-for-continuous-dynamical-state-space-models-with-sampled-system-coefficients-based-on-sparse-kernel-learning}, note = {Accessed: 2026-05-24}}
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