Chaos and System dynamics Leon Chang. Edward Lorenz In the early 1960's using a simple system of equations to model convection in the atmosphere, Edward.

Slides:



Advertisements
Similar presentations
The flapping of a single butterfly's wing today produces a tiny change in the state of the atmosphere. Over a period of time, what the atmosphere actually.
Advertisements

More on Julia & Mandelbrot Sets, Chaos
MATLAB Ordinary Differential Equations – Part II Greg Reese, Ph.D Research Computing Support Group Academic Technology Services Miami University September.
Pendulum without friction
7.4 Predator–Prey Equations We will denote by x and y the populations of the prey and predator, respectively, at time t. In constructing a model of the.
Predictability and Chaos EPS and Probability Forecasting.
CHAOS THEORY and the butterfly effect English presentation By: Assaad Moawad.
Dynamics, Chaos, and Prediction. Aristotle, 384 – 322 BC.
Lab 8: The onset of chaos Unpredictable dynamics of deterministic systems, often found in non-linear systems. Background of chaos Logistic Equation Non-linear.
1. 2 Class #26 Nonlinear Systems and Chaos Most important concepts  Sensitive Dependence on Initial conditions  Attractors Other concepts  State-space.
Nonlinear Dynamics Laboratory Equipment Andrew DickJoe Houtz Jeremy RedleckiAshley Rice James Streeter Client: Mechanical Engineering Dept. at RITFaculty.
Chaos in Dynamical Systems Baoqing Zhou Summer 2006.
EG1204: Earth Systems: an introduction Meteorology and Climate Lecture 7 Climate: prediction & change.
1 : Handout #20 Nonlinear Systems and Chaos Most important concepts  Sensitive Dependence on Initial conditions  Attractors Other concepts 
A PowerPoint presentation brought to you by Christian Malone and Alissa Ousley.
AJITESH VERMA 1.  Dictionary meaning of chaos- state of confusion lack of any order or control.  Chaos theory is a branch of mathematics which studies.
Chaos Theory and Fractals By Tim Raine and Kiara Vincent.
Strange Attractors and Lorenz Equations
The Lorenz Equations Erik Ackermann & Emma Crow- Willard.
Strategies and Rubrics for Teaching Chaos and Complex Systems Theories as Elaborating, Self-Organizing, and Fractionating Evolutionary Systems Fichter,
Chaos and Strange Attractors
Renormalization and chaos in the logistic map. Logistic map Many features of non-Hamiltonian chaos can be seen in this simple map (and other similar one.
1 GEM2505M Frederick H. Willeboordse Taming Chaos.
Details for Today: DATE:9 th December 2004 BY:Mark Cresswell FOLLOWED BY:Nothing Chaos 69EG3137 – Impacts & Models of Climate Change.
Fractal Dynamics in Physiology Alterations with Disease and Aging Presentation by Furkan KIRAÇ.
Chaos: The enemy of seasonal forecasting! Richard Washington University of Oxford
Strange Attractors From Art to Science J. C. Sprott Department of Physics University of Wisconsin - Madison Presented to the Society for chaos theory in.
Introduction to Quantum Chaos
Ch 9.8: Chaos and Strange Attractors: The Lorenz Equations
Chaos, Communication and Consciousness Module PH19510 Lecture 16 Chaos.
Chaos Theory MS Electrical Engineering Department of Engineering
Alfred Lotka (top) Vito Volterra Predator-Prey Systems.
Santa Fe Institute Complex Systems Summer School 2003.
Deterministic Chaos and the Chao Circuit
Chaos Theory Lorenz AttractorTurbulence from an aeroplane wing.
Fractional Dimensions, Strange Attractors & Chaos
Some figures adapted from a 2004 Lecture by Larry Liebovitch, Ph.D. Chaos BIOL/CMSC 361: Emergence 1/29/08.
Introduction to Chaos by: Saeed Heidary 29 Feb 2013.
Introduction to Chaos Clint Sprott Department of Physics University of Wisconsin - Madison Presented to Physics 311 at University of Wisconsin in Madison,
Numerical Solutions and chaotic behavior 1 Numerical Solutions and Chaos.
Dynamical Systems 4 Deterministic chaos, fractals Ing. Jaroslav Jíra, CSc.
Strategies and Rubrics for Teaching Chaos and Complex Systems Theories as Elaborating, Self-Organizing, and Fractionating Evolutionary Systems Fichter,
Seminar on the Secondary Mathematics Curriculum at Key Stage 4 CHIANG Kin-nam February 2004.
1 Challenge the future Chaotic Invariants for Human Action Recognition Ali, Basharat, & Shah, ICCV 2007.
Chaos : Making a New Science
Models pretend that nature is simple, predictable and unchanging:
Controlling Chaos Journal presentation by Vaibhav Madhok.
Management in complexity The exploration of a new paradigm Complexity theory and the Quantum Interpretation Walter Baets, PhD, HDR Associate Dean for Innovation.
Semester 1 Final Review D Plot the point (4, -2) in the coordinate plane. (Lesson 4.1) Name the quadrant the point is in.
Things are not what they appear to be, nor they are otherwise. Chaos- Rowan Mohamed & Mazen Mohamed.
T306 managing complexity: a systems approach TUTORIAL 7 BLOCK 1 – PART 4.
Chaos and the Butterfly Effect Presented by S. Yuan.
Spencer Hart Advisor: Gus Hart
Introduction to Chaos Clint Sprott

Model Initialization Spring 2016 Kyle Imhoff.
Gloria Mayorga-Garcia Erin Kim Noorsher Ahmed
Handout #21 Nonlinear Systems and Chaos Most important concepts
Equations of straight lines
تهیه شده توسط: شعله خداداد
Modeling of Biological Systems
نگاهی به تئوری های معاصر در مدیریت با تاکید بر کاربرد تئوری آشوب در پرستاری دکتر اکرم ثناگو، دکتر لیلا جویباری دانشگاه علوم پزشکی گرگان
By: Bahareh Taghizadeh
Introduction to chaos Sarah Keeley
Objective: To know the equations of simple straight lines.
Capacity Dimension of The Hénon Attractor
Find the y-intercept and slope
Localizing the Chaotic Strange Attractors of Multiparameter Nonlinear Dynamical Systems using Competitive Modes A Literary Analysis.
Lorenz System Vanessa Salas
Objective: To know the equations of simple straight lines.
Presentation transcript:

Chaos and System dynamics Leon Chang

Edward Lorenz In the early 1960's using a simple system of equations to model convection in the atmosphere, Edward Lorenz, an MIT meteorologist, ran headlong into "sensitivity to initial conditions". In the process he sketched the outlines of one of the first recognized chaotic attractors.

The Butterfly Effect The "Butterfly Effect" is the propensity of a system to be sensitive to initial conditions.Such systems over time become unpredictable,this idea gave rise to the notion of a butterfly flapping it's wings in one area of the world,causing a tornado or some such weather event to occur in another remote area of the world

Lorenz model

Lorenz waterwheel

Lorenz model by system dynamics

Lorenz result r=28.00

1: r= : r= : r=28.03 Lorenz result comparison

Strange attractor by X-Y

Strange attractor by Y-Z

Strange attractor by X-dX/dt

Lorenz attractor

成長上限

成本與投資不足

Using system dynamics to analyse interactions in duopoly competition Petia Sicea, Erik Mosekildeb, Alfredo Moscardinic, Kevin Lawlerc and Ian Frenchd* System Dynamics Review Vol. 16, No. 2, (Summer 2000): 113–133

Phase plane portrait (FQ against CQ) illustrating the singleperiod limit cycle behaviour observed for a = 2 and c = 0.1

Phase plane portrait (FQ against CQ) illustrating the chaotic behaviour for a = 2 and c = 0.4

Plot of D over the period 750 to 7000 months; the straight line, which has slope 0.005, represents the ‘best fit’ over the period 1500 to 4500

Fractal