A Numerical Analysis of Poincare Chaos

2023-01-01
Akhmet, Marat
Fen, Mehmet Onur
Tola, Astrit
This paper reveals a new way to indicate the presence of chaos in continuous-time models, beside other techniques such as the method of Lyapunov exponents and bifurcation diagrams. The sequential test confirms the existence of an unpredictable solution, and therefore, Poincaré chaos for differential equations. The main part of the study consists of the description of the novel algorithm, demonstrating its convenience for analysis of chaotic dynamics. The procedure facilities are carefully determined, and they are implemented to Lorenz and Rössler systems. The peculiarity of the method lies in the fact that in addition to the indication of just chaos, we clarify the divergence character of a single trajectory, which is based on the unpredictability feature. Potentially it can be more effective than the conventional ways for indication of chaos. The presence of chaos is also approved in the case of zero largest Lyapunov exponent
Discontinuity, Nonlinearity, and Complexity

Suggestions

Low-level multiscale image segmentation and a benchmark for its evaluation
Akbaş, Emre (Elsevier BV, 2020-10-01)
In this paper, we present a segmentation algorithm to detect low-level structure present in images. The algorithm is designed to partition a given image into regions, corresponding to image structures, regardless of their shapes, sizes, and levels of interior homogeneity. We model a region as a connected set of pixels that is surrounded by ramp edge discontinuities where the magnitude of these discontinuities is large compared to the variation inside the region. Each region is associated with a scale that d...
A neuro-fuzzy MAR algorithm for temporal rule-based systems
Sisman, NA; Alpaslan, Ferda Nur; Akman, V (1999-08-04)
This paper introduces a new neuro-fuzzy model for constructing a knowledge base of temporal fuzzy rules obtained by the Multivariate Autoregressive (MAR) algorithm. The model described contains two main parts, one for fuzzy-rule extraction and one for the storage of extracted rules. The fuzzy rules are obtained from time series data using the MAR algorithm. Time-series analysis basically deals with tabular data. It interprets the data obtained for making inferences about future behavior of the variables. Fu...
Strong vertices of doubly heavy spin- 3/2 -spin- 1/2 baryons with light mesons in light-cone QCD sum rules
Şimşek, K.; Alıyev, Tahmasıb (2021-03-30)
In this paper, we analyze the vertices of doubly heavy spin-3/2-spin-1/2 baryons with light mesons within the method of light-cone QCD sum rules. These vertices are parametrized in terms of one (three) coupling constant(s) for the pseudoscalar (vector) mesons. The said coupling constants are calculated for all possible transitions. The results presented here can serve as useful information in experimental as well as theoretical studies of the properties of doubly heavy baryons.
Identification of Physical Helicopter Models Using Subspace Identification
Avcioglu, Sevil; Kutay, Ali Türker; Leblebicioğlu, Mehmet Kemal (2020-04-01)
Subspace identification is a powerful tool due to its well-understood techniques based on linear algebra (orthogonal projections and intersections of subspaces) and numerical methods like singular value decomposition. However, the state space model matrices, which are obtained from conventional subspace identification algorithms, are not necessarily associated with the physical states. This can be an important deficiency when physical parameter estimation is essential. This holds for the area of helicopter ...
Bounded oscillation of nonlinear neutral differential equations of arbitrary order
Yilmaz, YS; Zafer, Ağacık (2001-01-01)
The paper is concerned with oscillation properties of n-th order neutral differential equations of the form
Citation Formats
M. Akhmet, M. O. Fen, and A. Tola, “A Numerical Analysis of Poincare Chaos,” Discontinuity, Nonlinearity, and Complexity, vol. 12, no. 1, pp. 183–195, 2023, Accessed: 00, 2023. [Online]. Available: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85145888867&origin=inward.