3D Chaotic Nonlinear Dynamic Population-Growing Mathematical System Modeling with Multiple Controllers
Modeling, stabilization, and identification processes are significant stages in the process of developing knowledge about chaotic dynamical systems which entail the effective prediction depending on the degree of uncertainty toleration in the forecast, accuracy of the current state to be measured as...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Akif AKGUL
2024-07-01
|
| Series: | Chaos Theory and Applications |
| Subjects: | |
| Online Access: | https://dergipark.org.tr/en/download/article-file/3770292 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832590374976094208 |
|---|---|
| author | Shaymaa Hussain Suzan Obaıys Nadia Al-saidi Yeliz Karaca |
| author_facet | Shaymaa Hussain Suzan Obaıys Nadia Al-saidi Yeliz Karaca |
| author_sort | Shaymaa Hussain |
| collection | DOAJ |
| description | Modeling, stabilization, and identification processes are significant stages in the process of developing knowledge about chaotic dynamical systems which entail the effective prediction depending on the degree of uncertainty toleration in the forecast, accuracy of the current state to be measured as well as a time scale resting on the dynamics of the system. Control of under-activated dynamical systems has been considered substantially, and it is for periods and is currently developing in various domains such as biology, data analysis, computing systems, and so forth. Dynamic systems of growing population signifies a model describing the way a population evolves over time during which population goes through major life events, split into discrete time periods. The size of the population at a given time period is determined by the rate of growth as well as other related factors. Most progress has been made in model-based control theory, which has drawbacks when the system under consideration is exceedingly complicated, and no model can be constructed. Accordingly, a 3D-discrete and dynamic human population growth system with many controllers is proposed by examining the stability and symmetry of controller system clarifications. The symmetric stability control results are presented by considering a special parametric dynamic system in its coefficients besides suggesting periodic functional coefficients in terms of sin and cos functions. The controllers have the ability to reduce population growth rate unpredictability or enhance system stability under various external conditions. The unique and very effective strategies in relevant domains could provide a deeper understanding of their impact as well as the theoretical or technological innovations thereof. These controllers are capable of reducing population growth rate unpredictability or improving system stability under various external conditions, and applicable strategies in the relevant domains can provide profound comprehension over the impact along with the theoretical as well as technological advancements. |
| format | Article |
| id | doaj-art-11db906d8d7746578189c217af2d9109 |
| institution | Kabale University |
| issn | 2687-4539 |
| language | English |
| publishDate | 2024-07-01 |
| publisher | Akif AKGUL |
| record_format | Article |
| series | Chaos Theory and Applications |
| spelling | doaj-art-11db906d8d7746578189c217af2d91092025-01-23T18:19:33ZengAkif AKGULChaos Theory and Applications2687-45392024-07-016321822710.51537/chaos.144663319713D Chaotic Nonlinear Dynamic Population-Growing Mathematical System Modeling with Multiple ControllersShaymaa Hussain0https://orcid.org/0000-0003-4275-0400Suzan Obaıys1https://orcid.org/0000-0003-4523-2385Nadia Al-saidi2https://orcid.org/0000-0002-7255-5246Yeliz Karaca3https://orcid.org/0000-0001-8725-6719University of TechnologyUniversity MalayaUniversity of TechnologyUniversity of Massachusetts Chan Medical SchoolModeling, stabilization, and identification processes are significant stages in the process of developing knowledge about chaotic dynamical systems which entail the effective prediction depending on the degree of uncertainty toleration in the forecast, accuracy of the current state to be measured as well as a time scale resting on the dynamics of the system. Control of under-activated dynamical systems has been considered substantially, and it is for periods and is currently developing in various domains such as biology, data analysis, computing systems, and so forth. Dynamic systems of growing population signifies a model describing the way a population evolves over time during which population goes through major life events, split into discrete time periods. The size of the population at a given time period is determined by the rate of growth as well as other related factors. Most progress has been made in model-based control theory, which has drawbacks when the system under consideration is exceedingly complicated, and no model can be constructed. Accordingly, a 3D-discrete and dynamic human population growth system with many controllers is proposed by examining the stability and symmetry of controller system clarifications. The symmetric stability control results are presented by considering a special parametric dynamic system in its coefficients besides suggesting periodic functional coefficients in terms of sin and cos functions. The controllers have the ability to reduce population growth rate unpredictability or enhance system stability under various external conditions. The unique and very effective strategies in relevant domains could provide a deeper understanding of their impact as well as the theoretical or technological innovations thereof. These controllers are capable of reducing population growth rate unpredictability or improving system stability under various external conditions, and applicable strategies in the relevant domains can provide profound comprehension over the impact along with the theoretical as well as technological advancements.https://dergipark.org.tr/en/download/article-file/3770292control systemdynamic systemdifference systemstability analysisgrowing humanpopulationstabilizationmathematical modeling3d-discrete chaoticsystemskendall coefficientdiscrete systemsdifference equationmultiple controllersjacobian matrixmodel |
| spellingShingle | Shaymaa Hussain Suzan Obaıys Nadia Al-saidi Yeliz Karaca 3D Chaotic Nonlinear Dynamic Population-Growing Mathematical System Modeling with Multiple Controllers Chaos Theory and Applications control system dynamic system difference system stability analysis growing humanpopulation stabilization mathematical modeling 3d-discrete chaoticsystems kendall coefficient discrete systems difference equation multiple controllers jacobian matrixmodel |
| title | 3D Chaotic Nonlinear Dynamic Population-Growing Mathematical System Modeling with Multiple Controllers |
| title_full | 3D Chaotic Nonlinear Dynamic Population-Growing Mathematical System Modeling with Multiple Controllers |
| title_fullStr | 3D Chaotic Nonlinear Dynamic Population-Growing Mathematical System Modeling with Multiple Controllers |
| title_full_unstemmed | 3D Chaotic Nonlinear Dynamic Population-Growing Mathematical System Modeling with Multiple Controllers |
| title_short | 3D Chaotic Nonlinear Dynamic Population-Growing Mathematical System Modeling with Multiple Controllers |
| title_sort | 3d chaotic nonlinear dynamic population growing mathematical system modeling with multiple controllers |
| topic | control system dynamic system difference system stability analysis growing humanpopulation stabilization mathematical modeling 3d-discrete chaoticsystems kendall coefficient discrete systems difference equation multiple controllers jacobian matrixmodel |
| url | https://dergipark.org.tr/en/download/article-file/3770292 |
| work_keys_str_mv | AT shaymaahussain 3dchaoticnonlineardynamicpopulationgrowingmathematicalsystemmodelingwithmultiplecontrollers AT suzanobaıys 3dchaoticnonlineardynamicpopulationgrowingmathematicalsystemmodelingwithmultiplecontrollers AT nadiaalsaidi 3dchaoticnonlineardynamicpopulationgrowingmathematicalsystemmodelingwithmultiplecontrollers AT yelizkaraca 3dchaoticnonlineardynamicpopulationgrowingmathematicalsystemmodelingwithmultiplecontrollers |