Neural networks learn the dynamics and mapping of an extended KKL observer for nonautonomous nonlinear systems from data, enabling state observation with a proven error bound on new inputs.
arXiv preprint arXiv:2503.18269
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Neural Luenberger state observer for nonautonomous nonlinear systems
Neural networks learn the dynamics and mapping of an extended KKL observer for nonautonomous nonlinear systems from data, enabling state observation with a proven error bound on new inputs.