Alfredo Germani

A Luenberger-like observer for nonlinear systems

A state observer is proposed for nonlinear continuous time systems which extends the well known Luenberger observer. In particular, on the basis of simple assumptions on the regularity of the system equations (observability and the global Holder condition for suitable functions), which are generally satisfied for physically meaningful dynamic systems, the global asymptotic convergence of the estimated state towards the true state is shown. Finally, some examples of applications are also reported showing the effectiveness of the proposed observer.

A new approach to state observation of nonlinear systems with delayed output

The article presents a new approach for the construction of a state observer for nonlinear systems when the output measurements are available for computations after a nonnegligible time delay. The proposed observer consists of a chain of observation algorithms reconstructing the system state at different delayed time instants (chain observer). Conditions are given for ensuring global exponential convergence to zero of the observation error for any given delay in the measurements. The implementation of the observer is simple and computer simulations demonstrate its effectiveness.

Polynomial Filtering for Linear Discrete Time Non-Gaussian Systems

In this work we propose a new filtering approach for linear discrete time non-Gaussian systems that generalizes a previous result concerning quadratic filtering [A. De Santis, A. Germani, and M. Raimondi, IEEE Trans. Automat. Control, 40 (1995) pp. 1274--1278]. A recursive

Polynomial filtering of discrete-time stochastic linear systems with multiplicative state noise

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An observer for a class of nonlinear systems with time varying observation delay

th-order polynomial estimate of finite memory

A robust observer for discrete time nonlinear systems

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Polynomial extended Kalman filter

is achieved by defining a suitable extended state which allows one to solve the filtering problem via the classical Kalman linear scheme. The resulting estimate will be the mean square optimal one among those estimators that take into account

Design of state observers from a drift-observability property

\nu

Observers for discrete-time nonlinear systems

-polynomials of the last

Local asymptotic stability for nonlinear state feedback delay systems

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