This chapter deals with a class of nonlinear high-gain observers referred to as “low-power” due to the fact that the high-gain parameter is powered only up to 2 regardless the dimension of the observed system, on the contrary of conventional high-gain observers in which the high-gain parameter is powered up to the dimension of the observed system. This kind of observers preserves the main properties of conventional high-gain observers in terms of tunability of the speed of convergence and robustness to exogenous disturbances, by outperforming those in terms numerical implementation and sensitivity to high-frequency measurement noise. The drawback of low-power high-gain observers over the conventional ones is given by the dimension of its dynamics that is larger.
Low-Power High-Gain Observers
L. Marconi
2019
Abstract
This chapter deals with a class of nonlinear high-gain observers referred to as “low-power” due to the fact that the high-gain parameter is powered only up to 2 regardless the dimension of the observed system, on the contrary of conventional high-gain observers in which the high-gain parameter is powered up to the dimension of the observed system. This kind of observers preserves the main properties of conventional high-gain observers in terms of tunability of the speed of convergence and robustness to exogenous disturbances, by outperforming those in terms numerical implementation and sensitivity to high-frequency measurement noise. The drawback of low-power high-gain observers over the conventional ones is given by the dimension of its dynamics that is larger.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.