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Journal ArticleDOI

Mathematica package for analysis and control of chaos in nonlinear systems

José M. Gutiérrez, +1 more
- 01 Nov 1998 - 
- Vol. 12, Iss: 6, pp 608-619
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TLDR
A symbolic Mathematica package for analysis and control of chaos in discrete and continuous nonlinear systems is presented and some commands with which to obtain qualitative and quantitative measures of chaos are described.
Abstract
In this article a symbolic Mathematica package for analysis and control of chaos in discrete and continuous nonlinear systems is presented. We start by presenting the main properties of chaos and describing some commands with which to obtain qualitative and quantitative measures of chaos, such as the bifurcation diagram and the Lyapunov exponents, respectively. Then we analyze the problem of chaos control and suppression, illustrating the different methodologies proposed in the literature by means of two representative algorithms (linear feedback control and suppression by perturbing the system variables). A novel analytical treatment of these algorithms using the symbolic capabilities of Mathematica is also presented. Well known one- and two-dimensional maps (the logistic and Henon maps) and flows (the Duffing and Rossler systems) are used throughout the article to illustrate the concepts and algorithms. © 1998 American Institute of Physics.

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Proceedings ArticleDOI

Matlab Toolbox and GUI for Analyzing One-Dimensional Chaotic Maps

TL;DR: A new Matlab toolbox and GUI (graphical user interface) providing the user with a suitable toolkit for a complete analysis of discrete systems by computer and its performance by applying it to the analysis of important issues regarding one-dimensional maps.
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An efficient chaotic based PSO for earliness/tardiness optimization in a batch processing flow shop scheduling problem

TL;DR: Two improved discrete particle swarm optimization (PSO) algorithms are designed where most important properties of basic PSO on velocity of particles are enhanced and the experimental results demonstrate the superiority of the algorithm against others.
Journal ArticleDOI

Automatic synthesis of chaotic attractors

TL;DR: From numerical simulations, the nonlinear system can quickly be synthesized with electronic circuits and HSPICE simulations of 9-scrolls and 4 × 3-grid scrolls by using Opamps are shown in agreement with the numerical simulations.
Journal ArticleDOI

Application of the Euler and Runge–Kutta Generalized Methods for FDE and Symbolic Packages in the Analysis of Some Fractional Attractors

TL;DR: In this article, the authors apply the Euler and the fourth-order Runge-Kutta methods in the analysis of fractional order dynamical systems, namely the Lorenz, Duffing and Liu systems.
Book ChapterDOI

Numerical-Symbolic Matlab Program for the Analysis of Three-Dimensional Chaotic Systems

TL;DR: A new numerical-symbolic Matlabprogram for the analysis of three-dimensional chaotic systems is introduced that provides the users with a GUI (Graphical User Interface) that allows us to analyze any continuous three- dimensional system with a minimal input.
References
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Journal ArticleDOI

Simple mathematical models with very complicated dynamics

TL;DR: This is an interpretive review of first-order difference equations, which can exhibit a surprising array of dynamical behaviour, from stable points, to a bifurcating hierarchy of stable cycles, to apparently random fluctuations.
Journal ArticleDOI

An equation for continuous chaos

TL;DR: A prototype equation to the Lorenz model of turbulence contains just one (second-order) nonlinearity in one variable as mentioned in this paper, which allows for a "folded" Poincare map (horseshoe map).
Journal ArticleDOI

Continuous control of chaos by self-controlling feedback

TL;DR: In this paper, the stabilization of unstable periodic orbits of a chaotic system is achieved either by combined feedback with the use of a specially designed external oscillator, or by delayed self-controlling feedback without using of any external force.
Journal ArticleDOI

A Two-dimensional Mapping with a Strange Attractor

TL;DR: In this article, the same properties can be observed in a simple mapping of the plane defined by: \({x i + 1}} = {y_i} + 1 - ax_i^2,{y i+ 1} = b{x_i}\).
Journal ArticleDOI

Spectroscopy and Imaging with Diffusing Light

Arjun G. Yodh, +1 more
- 01 Mar 1995 - 
TL;DR: Visually opaque media are ubiquitous in nature as mentioned in this paper, and light is transported through these materials in a process similar to heat diffusion, where a vanishingly small number of photons travel straight through such substances.
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