A neural network that learns time-varying observer gains, combined with adaptive sliding mode control, estimates states of general nonlinear systems directly from sensor measurements.
Numerical design of luenberger observers for nonlinear systems,
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Designing Robust Software Sensors for Nonlinear Systems via Neural Networks and Adaptive Sliding Mode Control
A neural network that learns time-varying observer gains, combined with adaptive sliding mode control, estimates states of general nonlinear systems directly from sensor measurements.