Generalized observer design of index one for descriptor systems with unknown inputs

Reduced-order observer design for descriptor systems with unknown inputs

A new method for the design of reduced-order observers for descriptor systems with unknown inputs is presented. The approach is based on the generalized constrained Sylvester equation. Sufficient conditions for the existence of the observer are given.

Full- and reduced-order observer design for rectangular descriptor systems with unknown inputs

In this paper, methods are proposed to design Luenberger type fulland reduced-order observers for rectangular descriptor systems with unknown inputs. These methods are based on the effect of preand post-multiplicative operation of a linear transformation, derived here by means of simple matrix theory. Sufficient conditions for the existence of observers are given and proved. Numerical examples ...

Design of proportional-integral observer for unknown input descriptor systems

This note presents simple methods to design fulland reducedorder proportional integral observer for unknown inputs (UI) descriptor systems. Sufficient conditions for the existence of the observer are given and proven. The observer is solvable by any pole placement algorithm, it achieves a posteriori robustness state and UI estimation versus to time varying parameters and bounded nonlinear UI. A...

Design of observer for Tagaki Sugeno Descriptor with Unknown inputs: application to fault diagnosis

H∞ Kalman filtering for rectangular descriptor systems with unknown inputs

This paper considers H∞ filtering for rectangular descriptor systems with unknown inputs that affect both the system and the output. An optimal H∞ filter is developed based on the maximum likelihood descriptor Kalman filtering (DKF) method. The developed H∞ filter serves as a unified solution to solve H∞ and Kalman filtering for descriptor systems and standard systems with or without unknown in...