Observer design for a class of nonlinear systems driven by stochastic process with bounded covariance

This paper presents an observer design method for Lipschitz nonlinear systems driven by stochastic processes with bounded covariances. A linear matrix inequality for searching an observer gain that guarantees the ultimate boundedness of the estimation error is derived. The proposed method is illustrated through an example in robotic applications.