Mixed order fractional observers for minimal realizations of linear time-invariant systems
Author
dc.contributor.author
Duarte-Mermoud, Manuel
Author
dc.contributor.author
Gallegos, Javier
Author
dc.contributor.author
Aguila Camacho, Norelys
Author
dc.contributor.author
Castro-Linares, Rafael
Admission date
dc.date.accessioned
2019-05-31T15:21:16Z
Available date
dc.date.available
2019-05-31T15:21:16Z
Publication date
dc.date.issued
2018
Cita de ítem
dc.identifier.citation
Algorithms, Volumen 11, Issue 9, 2018
Identifier
dc.identifier.issn
19994893
Identifier
dc.identifier.other
10.3390/a11090136
Identifier
dc.identifier.uri
https://repositorio.uchile.cl/handle/2250/169556
Abstract
dc.description.abstract
Adaptive and non-adaptive minimal realization (MR) fractional order observers (FOO) for
linear time-invariant systems (LTIS) of a possibly different derivation order (mixed order observers,
MOO) are studied in this paper. Conditions on the convergence and robustness are provided using
a general framework which allows observing systems defined with any type of fractional order
derivative (FOD). A qualitative discussion is presented to show that the derivation orders of the
observer structure and for the parameter adjustment are relevant degrees of freedom for performance
optimization. A control problem is developed to illustrate the application of the proposed observers.
Gallegos, Javier A.; Duarte Mermoud, Manuel(Elsevier, 2016)
We establish conditions to guarantee boundedness and convergence of signals described
by non integer order equations using Caputo derivatives. The case of linear time-varying
unforced equations is first studied, and ...
This work presents strategies for fractional order model reference adaptive control (FOMRAC) and fractional order proportional-integral-derivative control (FOPID) applied to an automatic voltage regulator (AVR). The paper ...
Travieso Torres, Juan Carlos; Duarte Mermoud, Manuel; Beytia, O.(Romanian Society of Control Engineering and Technical Informatics, 2017)
In this paper, fractional order (FO) operators and adaptive passivity-based controllers (APBC) are combined. The main aim is to explore possible advantages of combining FO operators and APBC over the use of integer order ...