Robust state and fault estimation for descriptor systems.

What is it about?

This study considers the problem of simultaneously estimating the state and the fault of an uncertain direct current (DC) motor in light of the unknown input filtering framework. The objective is to derive an optimal filter in order to achieve a robust descriptor state and fault estimation in the presence of parameter uncertainties.

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Why is it important?

This research develops a general method to transform an uncertain descriptor system with faults into an equivalent standard state-space system with faults and unknown inputs. Then, it is shown that an optimal robust filter with the RTSKF filter form can be readily derived to completely decouple the unknown disturbances and simultaneously estimate the descriptor system state and the fault.

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