Synthesizing Asymptotic Observers for Hyperoutput Systems with Uncertainty upon Transfer Matrix Degeneracy
The problem of synthesizing an asymptotic observer for a linear system with measurable outputs and unknown inputs acting on the system through the matrix is considered. A case of hyperoutput systems is examined; such systems have output dimensions larger than that of an unknown input ( ). Ways of co...
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Veröffentlicht in: | Moscow University computational mathematics and cybernetics 2020, Vol.44 (1), p.44-52 |
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Hauptverfasser: | , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
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Zusammenfassung: | The problem of synthesizing an asymptotic observer for a linear system with
measurable outputs
and
unknown inputs
acting on the system through the matrix
is considered. A case of hyperoutput systems is examined; such systems have output dimensions larger than that of an unknown input (
). Ways of constructing observers are well-known for such systems when matrix
(the transfer matrix from input
to output
) is of full rank. The case
is considered. To solve the problem, the concept of relative order is generalized to the case of non-quadratic systems. Using this concept, a sufficient condition for the existence of an observer is formulated, and an algorithm for synthesizing the observer is proposed. |
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ISSN: | 0278-6419 1934-8428 |
DOI: | 10.3103/S0278641919040058 |