Affiliation:
1. Research Unit of Mechanics and Modeling of Physical Systems (UR-2MSP), Department of Physics, Faculty of Science, University of Dschang, P.O. Box: 69, Dschang, Cameroon
Abstract
New complex features of a Pinus family plant subjected to wind load by proposing an analog electronic simulator with an active
realization that mimics the real-time dynamics of the system was examined in this paper. Findings reveal that the periodic or chaotic dynamics of the system depends on the favored initial conditions. We see the dynamical behavior of the plant showing transition from periodic to chaotic states. This is very beneficial because it allows for the observation that when the value of the wind amplitude ratio changes continuously, the plant behavior may change in a discontinuous way. It also helps to understand the impact of wind on the plant dynamics, in particular, and in forest in general, which is very crucial for understanding several plant communities. We show that plants exhibit multiple forms (periodic/chaotic) of repetitive spiking oscillations reflecting the phenomenon of bursting. For the periodic bursting oscillations, we observe that after each peak of excitation due to the wind load, the plant returns directly to its state of rest, whereas the chaotic bursting oscillations break the energy of the wind into decreasing value packets and its occurrence has the merit of reducing the effects of wind energy on the plant; this action ensures the stability of the plant even in chaotic cases. We also observe that the numerical study based on the isospike technique permits efficient discovery and separation between periodic and chaotic orbits visited during the temporal evolution. We also establish through the chaos phase-control techniques that various chaotic oscillations disappeared after applying the chaos phase control strategy in the system compared to the uncontrolled case. Moreover, the chaos phase-control strategy to the system is introduced to instantly inform how the correct choice of the phase minimizes the effects of the wind and thus eliminates chaotic behavior of the plant by simply driving it towards a variety of periodic orbits.
Subject
Multidisciplinary,General Computer Science
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