Abstract
AbstractIn this paper it is proposed a novel Lyapunov based design of a generalized Super- Twisting Observer for a class of 2-dimensional nonlinear system. The observer can deal with systems whose states are composed of bounded nonlineaer functions. This is the main difference with the classical Super-Twisting observer, in which the second state is only the derivative of the .rst state. Working with a Strong Lyapunov Function it can be shown sufficient conditions to properly choose the observer gains to ensure .nite time convergence to the real states. The obsrver is tested in a mathematical model regarding to the reduced Glucose-Insulin process. The numerical results have shown a better performance of the observer with lineal compensators in comparison to the classical Super-Twisting Observer. The gains for the observer are designed in order to compensate a more general class of perturbations that appear in the suggested glucose-insuline nonlinear model.
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