Applications of Chaos and Nonlinear Dynamics in Science and - download pdf or read online

By Bingo Wing-Kuen Ling (auth.), Santo Banerjee, Lamberto Rondoni, Mala Mitra (eds.)

ISBN-10: 364229328X

ISBN-13: 9783642293283

ISBN-10: 3642293298

ISBN-13: 9783642293290

Chaos and nonlinear dynamics before everything constructed as a brand new emergent box with its beginning in physics and utilized arithmetic. The hugely general, interdisciplinary caliber of the insights received within the previous few a long time has spawned myriad purposes in just about all branches of technology and technology—and even way past. anyplace the quantitative modeling and research of complicated, nonlinear phenomena are required, chaos idea and its equipment can play a key position.

This moment quantity concentrates on reviewing extra suitable, modern functions of chaotic nonlinear structures as they observe to a number of the state of the art branches of engineering. This encompasses, yet isn't really constrained to, subject matters reminiscent of the unfold of epidemics; digital circuits; chaos keep an eye on in mechanical units; safe conversation; and electronic watermarking.

Featuring contributions from lively and prime study teams, this assortment is perfect either as a reference paintings and as a ‘recipe ebook’ choked with attempted and verified, winning engineering applications.

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Extra info for Applications of Chaos and Nonlinear Dynamics in Science and Engineering - Vol. 2

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1 Data preparation steps Fig. 2 DEM derivative slope map (c) Moderate Vegetation. C. moderate vegetation appears dull red. (d) Agricultural Land. C. Mainly step-cultivation has been observed in this area surrounding small villages. (e) Sparse Vegetation. The landcover where the vegetation density is very low with respect to the ground surface has been selected as sparse vegetation cover. C. (f) Barren Land. C. have been chosen as barren areas. K. Ghosh et al. Fig. 3 DEM derivative relative relief map Supervised Maximum Likelihood Classifier has been used to classify the Aster image.

In Sect. 4, computer simulations are provided to demonstrate the effectiveness of the proposed synchronization scheme. Finally, conclusions are presented in Sect. 5. Notation: The notations used throughout the chapter are fairly standard. I and 0 represent identity matrix and zero matrix; the superscript 0 T0 stands for matrix transposition. k:k refers to the Euclidean vector norm or the induced matrix 2-norm. diagf:::g represents a block diagonal matrix and the operator symðAÞ represents A þ AT.

Susceptibility prevalent in the region of study, and a two-level binary map showing the entire region in two categories, susceptible or not susceptible. 2 Methodology A decision support approach called Multi-Criteria Evaluation (MCE) using fuzzy system has been used [27]. A decision is a choice between alternatives. The basis for a decision is known as a criterion. In a Multi-Criteria Evaluation, an attempt is made to combine a set of criteria to achieve a single composite basis for a decision according to a specific objective.

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Applications of Chaos and Nonlinear Dynamics in Science and Engineering - Vol. 2 by Bingo Wing-Kuen Ling (auth.), Santo Banerjee, Lamberto Rondoni, Mala Mitra (eds.)


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