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A lot of methods were proposed to design observer for
reconstructing the unknown input when the so-called
observer
matching condition was met. The problem of designing
observer and reconstructing the unknown input was
considered when the
system does not meet the condition. The idea of
generating auxiliary outputs was adopted to meet the
matching condition. Then the
high-gain observer was used to obtain the estimates
of auxiliary outputs by which a reduced-order
observer is designed to estimate
the unknown input. The simulation results of a real
model show that the proposed method is effective.
reconstructing the unknown input when the so-called
observer
matching condition was met. The problem of designing
observer and reconstructing the unknown input was
considered when the
system does not meet the condition. The idea of
generating auxiliary outputs was adopted to meet the
matching condition. Then the
high-gain observer was used to obtain the estimates
of auxiliary outputs by which a reduced-order
observer is designed to estimate
the unknown input. The simulation results of a real
model show that the proposed method is effective.