S. Sabarathinam Research Scholar Under the guidance of

Slides:



Advertisements
Similar presentations
PLOTTING PHASE PORTRAITS WITH MATLAB:
Advertisements

Chua's Circuit and Conditions of Chaotic Behavior Caitlin Vollenweider.
Hamiltonian Chaos and the standard map Poincare section and twist maps. Area preserving mappings. Standard map as time sections of kicked oscillator (link.
II.A Business cycle Model A forced van der Pol oscillator model of business cycle was chosen as a prototype model to study the complex economic dynamics.
Summary N-body problem Globular Clusters Jackiw-Teitelboim Theory Poincare plots Chaotic Observables Symbolic Dynamics Some quick math Different Orbits.
3-D State Space & Chaos Fixed Points, Limit Cycles, Poincare Sections Routes to Chaos –Period Doubling –Quasi-Periodicity –Intermittency & Crises –Chaotic.
Introduction to chaotic dynamics
Mechanics.
Deterministic Chaos PHYS 306/638 University of Delaware ca oz.
II. Towards a Theory of Nonlinear Dynamics & Chaos 3. Dynamics in State Space: 1- & 2- D 4. 3-D State Space & Chaos 5. Iterated Maps 6. Quasi-Periodicity.
Chaos Control (Part III) Amir massoud Farahmand Advisor: Caro Lucas.
Vibrational power flow analysis of nonlinear dynamic systems and applications Jian Yang. Supervisors: Dr. Ye Ping Xiong and Prof. Jing Tang Xing Faculty.
Predicting the Future of the Solar System: Nonlinear Dynamics, Chaos and Stability Dr. Russell Herman UNC Wilmington.
10/2/2015Electronic Chaos Fall Steven Wright and Amanda Baldwin Special Thanks to Mr. Dan Brunski.
Concluding Remarks about Phys 410 In this course, we have … The physics of small oscillations about stable equilibrium points Driven damped oscillations,
Dynamics of Coupled Oscillators-Theory and Applications
Concluding Remarks about Phys 410 In this course, we have … The physics of small oscillations about stable equilibrium points Re-visited Newtonian mechanics.
High Dimensional Chaos Tutorial Session IASTED International Workshop on Modern Nonlinear Theory (Bifurcation and Chaos) ~Montreal 2007~ Zdzislaw Musielak,
BME 6938 Neurodynamics Instructor: Dr Sachin S Talathi.
THE ANDERSON LOCALIZATION PROBLEM, THE FERMI - PASTA - ULAM PARADOX AND THE GENERALIZED DIFFUSION APPROACH V.N. Kuzovkov ERAF project Nr. 2010/0272/2DP/ /10/APIA/VIAA/088.
Introduction to Quantum Chaos
Ch 9.8: Chaos and Strange Attractors: The Lorenz Equations
Synchronization State Between Pre-turbulent Hyperchaotic Attractors G. Vidal H. Mancini Universidad de Navarra.
Chaos Theory MS Electrical Engineering Department of Engineering
Pavel Stránský Complexity and multidiscipline: new approaches to health 18 April 2012 I NTERPLAY BETWEEN REGULARITY AND CHAOS IN SIMPLE PHYSICAL SYSTEMS.
Synchronization in complex network topologies
Double RF system at IUCF Shaoheng Wang 06/15/04. Contents 1.Introduction of Double RF System 2.Phase modulation  Single cavity case  Double cavity case.
Figure 3: Initial conditions: x=0.4m, y=0m, z=0.37m. v ⊥ =60000m/s. v II varies from 30000m/s, 35000m/s, 40000m/s to 45000m/s (inner to outer). Modelling.
Novel Cascaded Chaotic Masking for Secure Communications
1 Challenge the future Chaotic Invariants for Human Action Recognition Ali, Basharat, & Shah, ICCV 2007.
Classical Chaos in Geometric Collective Model Pavel Stránský, Pavel Cejnar, Matúš Kurian Institute of Particle and Nuclear Phycics Faculty of Mathematics.
Control and Synchronization of Chaos Li-Qun Chen Department of Mechanics, Shanghai University Shanghai Institute of Applied Mathematics and Mechanics Shanghai.
Daniel Dobos Seminar: Chaos, Prof. Markus
1 Quasiperiodic Dynamics in Coupled Period-Doubling Systems Sang-Yoon Kim Department of Physics Kangwon National University Korea Nonlinear Systems with.
Controlling Chaos Journal presentation by Vaibhav Madhok.
Chaos in Electronic Circuits K. THAMILMARAN Centre for Nonlinear Dynamics School of Physics, Bharathidasan University Tiruchirapalli
Chaos Control in Nonlinear Dynamical Systems Nikolai A. Magnitskii Institute for Systems Analysis of RAS, Moscow,Russia.
H ÉNON -H EILES H AMILTONIAN – C HAOS I N 2-D M ODELING C HAOS & C OMPLEXITY – 2008 Y OUVAL D AR UCD P HYSICS D EPT. PHYSICS. UCDAVIS. EDU
Arthur Straube PATTERNS IN CHAOTICALLY MIXING FLUID FLOWS Department of Physics, University of Potsdam, Germany COLLABORATION: A. Pikovsky, M. Abel URL:
Celestial Mechanics VI The N-body Problem: Equations of motion and general integrals The Virial Theorem Planetary motion: The perturbing function Numerical.
Celestial Mechanics VII
General Considerations
V.V. Emel’yanov, S.P. Kuznetsov, and N.M. Ryskin* Saratov State University, , Saratov, Russia * GENERATION OF HYPERBOLIC.
Stability and instability in nonlinear dynamical systems
Chaos in general relativity
The Cournot duopoly Kopel Model
Chaos Control (Part III)
Chaotic systems and Chua’s Circuit
Date of download: 11/5/2017 Copyright © ASME. All rights reserved.
Blair Ebeling MATH441: Spring 2017
§7-4 Lyapunov Direct Method
High Dimensional Chaos
Handout #21 Nonlinear Systems and Chaos Most important concepts
Introduction to chaotic dynamics
Autonomous Cyber-Physical Systems: Dynamical Systems
Outline We examine the existence of parabolic resonances and various regimes of instabilities in the perturbed Nonlinear Shrödinger equation (NLS). Model:
Modeling of Biological Systems
Synchronization in Coupled Chaotic Oscillators
Introduction of Chaos in Electric Drive Systems
Modern Control Systems (MCS)
Qiudong Wang, University of Arizona (Joint With Kening Lu, BYU)
Introduction to chaotic dynamics
PLOTTING PHASE PORTRAITS WITH MATLAB:
Chaos Synchronization in Coupled Dynamical Systems
Noise Induces Hopping between NF-κB Entrainment Modes
Periodic Orbit Theory for The Chaos Synchronization
Hamiltonian Chaos and the Ergodic Hypothesis
Accelerator Physics Statistical Effects
Accelerator Physics G. A. Krafft, A. Bogacz, and H. Sayed
Accelerator Physics G. A. Krafft, A. Bogacz, and H. Sayed
Presentation transcript:

Transient chaos in two coupled, dissipatively perturbed Hamiltonian Duffing oscillators S. Sabarathinam Research Scholar Under the guidance of Prof. K. Thamilmaran Centre for Nonlinear Dynamics School of Physics Bharathidasan university Tiruchirappalli-620 024 Collaborators Prof. T. Kapitaniak , Dr P. Perlikowski A. Stefanski, L. Borkowski, P. Brzeski. Division of Dynamics Lodz University of Technology Lodz, Poland

Plan of talk Introduction Transient Chaos Model Stability Analysis Numerical Analysis Experimental Setup Experimental Results Conclusion

Chaos Chaos is characterized by Lyapunov Exponent Spectrum 0 - 1 Test Chaos is a phenomena of appearance of bounded, non periodic evolution, in a completely deterministic nonlinear dynamical system with high sensitivity dependence on initial condition. Chaos is characterized by Lyapunov Exponent Spectrum 0 - 1 Test FFT spectrum …

A question is, then, can chaos be transient? Transient Chaos The system trajectory evolves on a strange chaotic repeller (chaotic saddle) for significantly long period of time, t* say and afterward, for t > t*, converges to the regular attractor. The value of t* will of course vary from trajectory to trajectory and may be very sensitive to the initial conditions, but representative average of t* can be used to describe the phenomena of transient chaos. t* t

Transient Chaos Arises….. • Chemical reactions in closed containers can lead to thermal equilibrium only. However, the transients can be chaotic if one begins sufficiently far from equilibrium states. • Certain epidemiological data, e.g., on the spread of chickenpox, can be consistently and meaningfully interpreted only in terms of transient chaos. • The so-called shimmy (an irregular dancing motion) of the front wheels of motorcycles and airplanes, which can lead to disastrous incidents, turns out to be a manifestation of transient chaos. • Satellite encounters and the escapes from major planets are chaotic transients. • The trapping of advected material or pollutant around obstacles, often seen in the wake of pillars or piers, is a consequence of transient chaos. • In nanostructures, today a cutting-edge field of science and engineering, the classical dynamics of electrons bear the signature of transient chaos.

Applications The main application is control and maintenance of transient chaos for desirable system performance. The collection and analysis of transient chaotic time series for probing the system also applicable in many areas of science and Engineering.

The Non-Autonomous Duffing Oscillator -----------------(1) y x

Autonomous Duffing Equation ---------------------------------------------------- (2) Here the potential ------------------------------- (3) Kinetic Energy then ----------------------------- (4) So the total Energy of our model can be written as.. -------------------------------- (5)

Two mutually coupled autonomous Duffing Equation ---------------- (6) --------------- (7) Potential for two coupled autonomous Duffing Oscillators ---- (8) Kinetic Energy then ---------------------------------- (9)

Kolmogorov Arnold Moser (KAM) theorem The motion of an integrable system is confined to a doughnut shaped surface, an invariant torus. Different initial conditions of the integrable Hamiltonian system will trace different invariant tori in phase space. Plotting any of the coordinates of an integrable system would show that they are quasi-periodic. (i) For H = 0.105156 Source: https://en.wikipedia.org/wiki/Kolmogorov-Arnold-Moser_theorem

(ii) For H = 0.167042 (iii) For H = 4.87512 Fig.: Surface of section in different energy levels of four to six hundred sets of randomly generated initial conditions shows the KAM island exists in the quasiperiodic motions of k=0.08.

Non-Conservative System ------------------ (9) ----------------(10) b – damping co-efficient ---------------- (11)

Stability Analysis

Locally linearized the above equation Model Equation --------------------------------------------------------------- (12) -------------- (13) --------------------------------------------------------------- (14) ------------- (15) Locally linearized the above equation ---------------- (16)

Eigen Values at (1) b=0 (2) b=0.0001 (Positive Damping) (3) b=-0.0001 (Negative Damping)

Numerical observations

Numerical Analysis (1) For b=0.0 (a) (b) (a) Time series of (t-x) plane, (b) Blow up of the colored region (Red)

(a) (b) (1) For b=0.0001 (Positive Damping) (a) Time series of (t-x) plane, (b) Extended time series of the colored area

(a) (b) (1) For b= -0.0001 (Negative Damping) (a) Time series of (t-x) plane, (b) Extended time series of the colored area

Experimental Analysis

Mutually coupled Duffing oscillator Equations are the Control parameters.

Fig. : Schematic diagram of two mutually coupled autonomous Duffing oscillator

a b Fig. : Real time Hardware experimental construction of mutually coupled Duffing oscillator. Blue wire indicating the coupling between the Duffing oscillators, (a,b) are the negative damping resistors.

Circuit Equation Parameters

(1) Zero Damping Fig.: Numerical and Experimental comparison of Phase Portraits and Time series for Zero damping case.

(ii) For positive damping Fig.: Experimentally observed Time series : The data acquisition is made using Agilent U2531A -4 GS/s.

(ii) For negative damping Fig.: Experimentally observed Time series : The data acquisition is made using Agilent U2531A -4 GS/s.

We have investigated the Surface of Section (SOS) of the Hamiltonian system (Duffing oscillator) with different energy levels. Small perturbation (-,+) in the Hamiltonian system makes the system’s phase space into non-conservative. So the phase space may be stable or unstable depends on its perturbations. The transient dynamics of two coupled nearly Hamiltonian Duffing oscillators is studied by numerical and hardware electronic circuit. The coupled Duffing oscillator exhibits transient chaos in both positive and negative damping.

References S. Sabarathinam, K. Thamilmaran L. Borkowski, P. Perlikowski, A. Stefanski, T. Kapitaniak, "Transient chaos in two coupled, dissipatively perturbed Hamiltonian Duffing oscillators." Communications in Nonlinear Science and Numerical Simulation 18, (2013) 3098. M. A. Lieberman and K. Y. Tsang,“Transient Chaos in Dissipatively Perturbed, Near-Integrable Hamiltonian Systems” , Phys. Rev. Lett. 55, 1985. P. Perlikowski, S. Yanchuk, M. Wolfrum, A. Stefanski, P. Mosiolek, T. Kapitaniak, ’’Routed to complex dynamics in a ring of unidirectionally coupled systems ’’ Chaos, 20 (1), 2010. P. Perlikowski, B. Jagiello, A. Stefanski, T. Kapitaniak, ‘Experimental observation of ragged synchronizability’’ Phys. Rev E –Statistical Nonlinear,and soft matter Physics, 78, 2008. A. S. Pikovsky, ”Escape exponent for transient chaos and chaotic scattering in nonhyperbolic Hamiltonian systems”, J. Phys -A Math Gen, 25 , 1992. U. E. Vincent, A. Kenfack, “Synchronization and bifurcation structures in coupled periodically forced non-identical Duffing oscillators” Phys Scr, 77, 2008.