| dc.creator |
K, Muhammad Ashar |
|
| dc.date.accessioned |
2020-06-29T07:59:41Z |
|
| dc.date.available |
2020-06-29T07:59:41Z |
|
| dc.identifier |
http://eprints.ulm.ac.id/9717/1/6179591_-_Published.pdf |
|
| dc.identifier |
K, Muhammad Ashar Parameter Estimations of Fuzzy Forced Duffing Equation: Numerical Performances by the Extended Runge-Kutta Method. Abstract and Applied Analysis. |
|
| dc.identifier.uri |
https://repo-dosen.ulm.ac.id//handle/123456789/16771 |
|
| dc.description |
In this work, the forced Duffing equation with secondary resonance will be considered our subject by assuming that the initial
values has uncertainty in terms of a fuzzy number. The resulted fuzzy models will be studied by three fuzzy differential
approaches, namely, Hukuhara differential and its generalization and fuzzy differential inclusion. Applications of fuzzy
arithmetics to the models lead to a set of alpha-cut deterministic systems with some additional equations. These systems are
then solved by the extended Runge-Kutta method. The extended Runge-Kutta method is chosen as our numerical approach in
order to enhance the order of accuracy of the solutions by including both function and its first derivative values in calculations.
Among our fuzzy approaches, our simulations show that the fuzzy differential inclusion is the most appropriate approach to
capture oscillation behaviors of the model. Using the aforementioned fuzzy approach, we then demonstrate how to estimate
parameters to our generated fuzzy simulation data. |
|
| dc.format |
text |
|
| dc.relation |
https://www.hindawi.com/journals/aaa/2020/6179591/ |
|
| dc.relation |
http://eprints.ulm.ac.id/9717/ |
|
| dc.subject |
Q Science (General) |
|
| dc.subject |
QA Mathematics |
|
| dc.title |
Parameter Estimations of Fuzzy Forced Duffing Equation:
Numerical Performances by the Extended Runge-Kutta Method |
|
| dc.type |
Article |
|
| dc.type |
PeerReviewed |
|