Efficient computation for sample-based state estimators using deep neural networks

Abhilash Dev

doi:10.1016/j.jprocont.2025.103591

Efficient computation for sample-based state estimators using deep neural networks

2025-11-25

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Sachin C. Patwardhan *

DOI：10.1016/j.jprocont.2025.103591

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• Neural networks as nonlinear state estimators to reduce online computation time. • NN as proposal density of particle filter for nonlinear state estimation • NN estimator as internal model in internal model control to track setpoints • NN estimator is two orders of magnitude faster than sample-based state estimator.

Efficient computation for sample-based state estimators using deep neural networks

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