Null Controllability of a Nonlinear Dissipative System and Application to the Detection of the Incomplete Parameter for a Nonlinear Population Dynamics Model

We first prove a null controllability result for a nonlinear system derived from a nonlinear population dynamics model. In order to tackle the controllability problem we use an adapted Carleman inequality. Next we consider the nonlinear population dynamics model with a source term called the polluti...

Full description

Saved in:
Bibliographic Details
Main Authors: Yacouba Simporé, Oumar Traoré
Format: Article
Language:English
Published: Wiley 2016-01-01
Series:International Journal of Mathematics and Mathematical Sciences
Online Access:http://dx.doi.org/10.1155/2016/2820613
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1832566874755301376
author Yacouba Simporé
Oumar Traoré
author_facet Yacouba Simporé
Oumar Traoré
author_sort Yacouba Simporé
collection DOAJ
description We first prove a null controllability result for a nonlinear system derived from a nonlinear population dynamics model. In order to tackle the controllability problem we use an adapted Carleman inequality. Next we consider the nonlinear population dynamics model with a source term called the pollution term. In order to obtain information on the pollution term we use the method of sentinel.
format Article
id doaj-art-01b84db94c764444b678717303e154fa
institution Kabale University
issn 0161-1712
1687-0425
language English
publishDate 2016-01-01
publisher Wiley
record_format Article
series International Journal of Mathematics and Mathematical Sciences
spelling doaj-art-01b84db94c764444b678717303e154fa2025-02-03T01:02:52ZengWileyInternational Journal of Mathematics and Mathematical Sciences0161-17121687-04252016-01-01201610.1155/2016/28206132820613Null Controllability of a Nonlinear Dissipative System and Application to the Detection of the Incomplete Parameter for a Nonlinear Population Dynamics ModelYacouba Simporé0Oumar Traoré1LAMI, Universite de Ouagadougou, 01 BP 7021, Ouaga 01, Burkina FasoLAMI, Universite de Ouagadougou, 12 BP 417, Ouaga 12, Burkina FasoWe first prove a null controllability result for a nonlinear system derived from a nonlinear population dynamics model. In order to tackle the controllability problem we use an adapted Carleman inequality. Next we consider the nonlinear population dynamics model with a source term called the pollution term. In order to obtain information on the pollution term we use the method of sentinel.http://dx.doi.org/10.1155/2016/2820613
spellingShingle Yacouba Simporé
Oumar Traoré
Null Controllability of a Nonlinear Dissipative System and Application to the Detection of the Incomplete Parameter for a Nonlinear Population Dynamics Model
International Journal of Mathematics and Mathematical Sciences
title Null Controllability of a Nonlinear Dissipative System and Application to the Detection of the Incomplete Parameter for a Nonlinear Population Dynamics Model
title_full Null Controllability of a Nonlinear Dissipative System and Application to the Detection of the Incomplete Parameter for a Nonlinear Population Dynamics Model
title_fullStr Null Controllability of a Nonlinear Dissipative System and Application to the Detection of the Incomplete Parameter for a Nonlinear Population Dynamics Model
title_full_unstemmed Null Controllability of a Nonlinear Dissipative System and Application to the Detection of the Incomplete Parameter for a Nonlinear Population Dynamics Model
title_short Null Controllability of a Nonlinear Dissipative System and Application to the Detection of the Incomplete Parameter for a Nonlinear Population Dynamics Model
title_sort null controllability of a nonlinear dissipative system and application to the detection of the incomplete parameter for a nonlinear population dynamics model
url http://dx.doi.org/10.1155/2016/2820613
work_keys_str_mv AT yacoubasimpore nullcontrollabilityofanonlineardissipativesystemandapplicationtothedetectionoftheincompleteparameterforanonlinearpopulationdynamicsmodel
AT oumartraore nullcontrollabilityofanonlineardissipativesystemandapplicationtothedetectionoftheincompleteparameterforanonlinearpopulationdynamicsmodel