Robust observers for a class of uncertainty nonlinear systems

In this paper we propose a novel nonlinear observer for the nonlinear system with disturbances and unmodelled dynamics. This observer uses Luenberger structure, and the gain matrix is calculated by solving matrix optimization problem and an inverted solution of differential matrix Riccati equation. We successfully prove the observer error is robust with respect to bounded uncertainties.