DocumentCode
826886
Title
Sufficient conditions for function space controllability and feedback stabilizability of linear retarded systems
Author
Manitius, A. ; Triggiani, R.
Author_Institution
Université de Montréal, Montreal, Canada
Volume
23
Issue
4
fYear
1978
fDate
8/1/1978 12:00:00 AM
Firstpage
659
Lastpage
665
Abstract
New sufficient conditions for function space controllability and hence feedback stabilizability of linear retarded systems are presented. These conditions were obtained by treating the retarded systems as a special case of an abstract equation in Hilbert space
(denoted as
}). For systems of type
, it is shown that most of controllability properties are described by a certain polynomial matrix
, whose columns can be generated by an algorithm comparing
and mixed powers of A0 and A1 multiplied by
It is shown that the M2 -approximate controllability of the system is guaranteed by certain triangularity properties of
. By using the Luenberger canonical form, it is shown that the system is M2 -approximately controllable if the pair
is controllable and if each of the spaces spanned by columns of
, is invariant under transformation A0 . Other conditions of this type are also given. Since the M2 -approximate controllability implies controllability of all the eigenmodes of the system, the feedback stabilizability with an arbitrary exponential decay rate is guaranteed under hypotheses leading to M2 -approximate controllability. Some examples are given.
(denoted as
}). For systems of type
, it is shown that most of controllability properties are described by a certain polynomial matrix
, whose columns can be generated by an algorithm comparing
and mixed powers of A
It is shown that the M
. By using the Luenberger canonical form, it is shown that the system is M
is controllable and if each of the spaces spanned by columns of
, is invariant under transformation AKeywords
Controllability; Delay systems; Linear systems, time-invariant continuous-time; Stability; Controllability; Filtering algorithms; Helium; Nonlinear filters; Recursive estimation; Riccati equations; Signal processing; Signal processing algorithms; State feedback; Sufficient conditions;
fLanguage
English
Journal_Title
Automatic Control, IEEE Transactions on
Publisher
ieee
ISSN
0018-9286
Type
jour
DOI
10.1109/TAC.1978.1101796
Filename
1101796
Link To Document