Prescribed-time observer for nonlinear systems is shown to naturally reject bounded disturbances and uncertainties, with proof and simulations demonstrating accurate estimation and superiority over high-gain observers.
Continuous–discrete time neural network observer for nonlinear dynamic systems application to vehicle systems,
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Prescribed-Time Observer Is Naturally Robust Against Disturbances and Uncertainties
Prescribed-time observer for nonlinear systems is shown to naturally reject bounded disturbances and uncertainties, with proof and simulations demonstrating accurate estimation and superiority over high-gain observers.