2011
DOI: 10.1177/1077546311419933
|View full text |Cite
|
Sign up to set email alerts
|

Diffusive wave-absorbing control: example of the boundary stabilization of a thin flexible beam

Abstract: In this paper we deal with the boundary control of the Euler-Bernoulli beam by means of wave-absorbing feedback. Such controls are based upon the reduction of reflected waves and involve long memory non-rational convolution operators resulting from specific properties of the system. These operators are reformulated under so-called diffusive input-output state-space realizations, which allow us to represent the global closed-loop system under the abstract form dX/dt ¼ AX with A the infinitesimal generator of a … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
5

Citation Types

0
9
0

Year Published

2013
2013
2020
2020

Publication Types

Select...
5
1

Relationship

0
6

Authors

Journals

citations
Cited by 6 publications
(9 citation statements)
references
References 28 publications
0
9
0
Order By: Relevance
“…The analysis and the numerical simulation of the system are considerably simplified using diffusive input/output realization of this fractional operator, which allows the diffusive closed-loop system to be represented under the traditional form dX/dt = AX, with A representing the infinitesimal generator of a semigroup on a convenient Hilbert space including a diffusive variable. Such diffusive realizations of complex non-rational operators have revealed themselves as judicious in various problems in modeling (Laudebat et al, 2004), identification (Casenave, 2011), control (Montseny, 2011), and other research thematic.…”
Section: Introductionmentioning
confidence: 99%
“…The analysis and the numerical simulation of the system are considerably simplified using diffusive input/output realization of this fractional operator, which allows the diffusive closed-loop system to be represented under the traditional form dX/dt = AX, with A representing the infinitesimal generator of a semigroup on a convenient Hilbert space including a diffusive variable. Such diffusive realizations of complex non-rational operators have revealed themselves as judicious in various problems in modeling (Laudebat et al, 2004), identification (Casenave, 2011), control (Montseny, 2011), and other research thematic.…”
Section: Introductionmentioning
confidence: 99%
“…However, the use of fractional operators leads to some di¢ culties and problems, which come mainly from the fact that these operators are hereditary with singular kernels, and hence the numerical approximation becomes very di¢ cult and requires large memory storage capacities. To remedy these problems, the fractional control will be achieved by DIFFUSIVE REPRESENTATION OF A FRACTIONAL CONTROL 169 using the di¤usive representation [9]. This representation allows the realization of the fractional operators in non-hereditary way using linear dynamical systems of di¤usive nature.…”
Section: Introductionmentioning
confidence: 99%
“…This representation allows the realization of the fractional operators in non-hereditary way using linear dynamical systems of di¤usive nature. [9] We apply this concept to the control of a DC motor of which the transfer function is uncertain. The uncertainty is carried at the mechanical load and the current loop constant time.…”
Section: Introductionmentioning
confidence: 99%
“…Thereafter, the proposed control scheme is applied to the moving Euler–Bernoulli beam under axial load, for which, to the authors’ best knowledge, alternative absorbing boundary conditions have not yet been devised. In comparison, alternative absorbing boundary conditions for the simplified nonmoving Euler–Bernoulli beam without axial load, such as the classic PML approach derived by Arbabi and Farzanian (2014) or the procedure proposed by Montseny (2011), become highly problem-specific and several auxiliary partial differential equations or additional dynamic state variables are introduced.…”
Section: Introductionmentioning
confidence: 99%