Application of Recurrence Quantification Analysis for Non-Linear Dynamical Systems
Himanshu Kumar Shekhar1, Chetan Kamble2, Ashish Thakur3, Sanjeet Kumar Bhagat4
1Himanshu Kumar Shekhar, Vignan’s Foundation for Science, Technology and Research, Guntur (Andhra Pradesh), India.
2Chetan Kamble, Vignan’s Foundation for Science, Technology and Research, Guntur (Andhra Pradesh), India.
3Ashish Thakur, Vignan’s Foundation for Science, Technology and Research, Guntur (Andhra Pradesh), India.
4Sanjeet Kumar Bhagat, Vignan’s Foundation for Science, Technology and Research, Guntur (Andhra Pradesh), India.
Manuscript received on 23 November 2019 | Revised Manuscript received on 17 December 2019 | Manuscript Published on 30 December 2019 | PP: 92-94 | Volume-9 Issue-1S5 December 2019 | Retrieval Number: A10101291S52019/19©BEIESP | DOI: 10.35940/ijeat.A1010.1291S519
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The Recurrence plots (RPs) have been introduced in several different scientific and medical disciplines. The main purpose of recurrence plot is used to of identify the higher dimensional phase space trajectories. RPs are purely graphically representation which have been designed for the detection of hidden dynamical patterns and non-linearity present in the data, the evaluation of error which is caused by observational noise can be done by Recurrence Quantification Analysis (RQA). RQA method is initially used to minimize the error present in the given signals. RQA method is a basically a technique for the analysis of nonlinear data to quantify the number and duration of a dynamical systems. The recurrence plot is used for time series domain for multidimensional signal also. Recurrence is the property of non-stationary and dynamical system to characteristics the time series analysis in phase space trajectories. Recurrence Quantification Analysis is used to derive from recurrence plots, which are based upon distances matrices of time series.
Keywords: Recurrence Quantification Analysis (RQA), Dynamical Systems.
Scope of the Article: Predictive Analysis