Title :
Nonlinear dynamics in addiction model of tobacco
Author :
Donghwi Bae ; Huanglin Yun ; Myung-Mi Kim ; Youngchul Bae
Author_Institution :
Dr. William M. Scholl Coll. of Podiatric Med., Rosalind Franklin Univ., North Chicago, IL, USA
Abstract :
Chaotic dynamics is an active area of research by many in fields such as biology, physics, sociology, psychology, physiology, and engineering. This interest in chaos is also expanding to the social scientific fields such as politics, economics, and argument of prediction of societal events. In this paper, we propose a dynamic model for addiction of tobacco. A proposed dynamical model is originated from the dynamics of tobacco use, recovery and relapse. In order to make an addiction model of tobacco, we try to modify and rescale the existing tobacco model and Lorenz model which is chaotic model. Then, by using this, we derive a new tobacco addiction model. Finally, we obtain periodic motion, quasi-periodic motion, quasi-chaotic motion and chaotic motion from the addiction model of tobacco that we established. We say that periodic motion and quasiperiodic motion is related to pre-addiction stage or recovery stage. The quasi-chaotic and chaotic motion is related to addiction stage and relapse stage, respectively.
Keywords :
nonlinear dynamical systems; periodic control; tobacco industry; Lorenz model; chaotic dynamics; chaotic model; nonlinear dynamics; quasi-chaotic motion; quasi-periodic motion; tobacco addiction model; tobacco dynamic model; Chaotic communication; Drugs; Intelligent systems; Mathematical model; Nonlinear dynamical systems; Synchronization; Lorenz system; chaotic dynamic; nonlinear dynamic; periodic motion; tobacco addiction;
Conference_Titel :
Fuzzy Theory and Its Applications (iFUZZY), 2014 International Conference on
Print_ISBN :
978-1-4799-4590-0
DOI :
10.1109/iFUZZY.2014.7091262