4.6 Article

Functional Observers for Descriptor Systems With Unknown Inputs

Journal

IEEE ACCESS
Volume 11, Issue -, Pages 19680-19689

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/ACCESS.2023.3249099

Keywords

Observers; Standards; Mathematical models; Matrix decomposition; Servers; Linear systems; Design methodology; Descriptor systems (differential-algebraic equations); linear systems observers; functional (partial state) observers; unknown inputs

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This paper addresses the problem of estimating a functional vector for a class of linear time-invariant descriptor systems with unknown inputs. The proposed observer has an order less than or equal to the dimension of the functional vector to be estimated. The existence of functional ODE observers is proved under simple rank conditions on the system coefficient matrices. Numerical examples are included to illustrate the proposed theory and algorithm.
This paper addresses the problem of estimating a functional vector for a class of linear time-invariant descriptor systems with unknown inputs. The unknown inputs are considered in both the system dynamics and measurement equations. The proposed observer has an order less than or equal to the dimension of the functional vector to be estimated. The existence of functional ODE observers is proved under simple rank conditions on the system coefficient matrices. A few numerical examples are included to illustrate the proposed theory and designed algorithm.

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