Novel nonlinear predictors are studied for nonlinear systems with delayed measurements without assuming globally Lipschitz conditions or a known predictor map but requiring instead bounded state trajectories. The delay is constant and known. These nonlinear predictors consists of a series of dynamic filters that generate estimates of the state vector (and its maximum magnitude) at different delayed time instants which differ from one another by a small fraction of the overall delay.
Nonlinear predictors for systems with bounded trajectories and delayed measurements / Battilotti, Stefano. - In: AUTOMATICA. - ISSN 0005-1098. - STAMPA. - 59:(2015), pp. 127-138. [10.1016/j.automatica.2015.06.007]
Nonlinear predictors for systems with bounded trajectories and delayed measurements
BATTILOTTI, Stefano
2015
Abstract
Novel nonlinear predictors are studied for nonlinear systems with delayed measurements without assuming globally Lipschitz conditions or a known predictor map but requiring instead bounded state trajectories. The delay is constant and known. These nonlinear predictors consists of a series of dynamic filters that generate estimates of the state vector (and its maximum magnitude) at different delayed time instants which differ from one another by a small fraction of the overall delay.File | Dimensione | Formato | |
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Note: https://doi.org/10.1016/j.automatica.2015.06.007
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