Chaotic dynamic analysis of viscoelastic plates

2001 ◽  
Vol 43 (5) ◽  
pp. 1195-1208 ◽  
Author(s):  
Y.X. Sun ◽  
S.Y. Zhang
Keyword(s):  
Dynamic Analysis ◽  
Chaotic Dynamic

Chaotic dynamic analysis of viscoelastic shallow spherical shells

1992 ◽  
Vol 44 (4) ◽  
pp. 851-857 ◽  
Author(s):  
E. Karaesmen ◽  
L. Ileri ◽  
N. Akkas
Keyword(s):  
Dynamic Analysis ◽  
Chaotic Dynamic ◽  
Spherical Shells

scholarly journals MODIFIED PYRAGAS METHOD FOR MULTIPLE SPATIAL LIMIT SETS AND CHAOS CONTROL IN MIMO CASCADE NONLINEAR SYSTEMS

2019 ◽  
Vol 17 (3) ◽  
pp. 165
Author(s):  
Biljana Samardžić ◽  
Bojana Zlatković
Keyword(s):  
Nonlinear System ◽  
Nonlinear Systems ◽  
Dynamic Analysis ◽  
Chaos Control ◽  
Chaotic Dynamic ◽  
Phase Portraits ◽  
Bifurcation Diagrams ◽  
Limit Sets ◽  
Spatial Phase ◽  
Before And After

The modified Pyragas method for the multiple spatial limit sets and chaos control in MIMO cascade nonlinear systems is presented in this paper. Also, oscillatory and chaotic dynamic analysis of concrete MIMO3 cascade nonlinear system is performed before and after the application of control. Bifurcation diagrams and spatial phase portraits of uncontrolled and controlled MIMO3 system are used for the purposes of analysis.

scholarly journals Forecasting Agricultural Production: A Chaotic Dynamic Approach

2015 ◽  
Vol 1 (1) ◽  
pp. 65 ◽  
Author(s):  
Bunyamin Demir ◽  
Nesrin Alptekin ◽  
Yilmaz Kilicaslan ◽  
Mehmet Ergen ◽  
Nilgun Caglarirmak Uslu
Keyword(s):  
Dynamic System ◽  
Dynamic Analysis ◽  
Agricultural Production ◽  
Chaotic Dynamic ◽  
Rice Production ◽  
Agricultural Products ◽  
Agricultural Product ◽  
Dynamic Approach ◽  
Statistical Institute ◽  
Error Ratio

The aim of this study is to examine the existence of chaotic structure in agricultural production in Turkey by using Chaotic Dynamic Analysis (CDA) and to provide accurate forecasts of agricultural production. The data of wheat, barley and rice production in Turkey obtained from Turkish Statistical Institute (TURKSTAT) covers the period of 1991 to 2009. Our analysis shows that the supply of the selected agricultural products has a chaotic structure. Our dynamic system constructed predicted the supply of year 2010 with % 0.5 error for wheat, %5 error for barley, and %2.5 error ratio for rice. This study is the first attempt using CDA to forecast future agricultural product supply in Turkey. The findings of this study will help to produce effective policies to prevent supply disequilibrium, and excess price fluctuations.

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