Nonlinear systems, chaos and control in Engineering
|
|
- Samson Boyd
- 6 years ago
- Views:
Transcription
1 Nonlinear systems, chaos and control in Engineering Module 1 block 3 One-dimensional nonlinear systems Cristina Masoller Cristina.masoller@upc.edu
2 Schedule Flows on the line (Strogatz ch.1 & 2) (5 hs) Introduction Fixed points and linear stability Examples Solving equations with computer Bifurcations (Strogatz ch. 3) (3 hs) Introduction Saddle-node Transcritical Pitchfork Examples Flows on the circle (Strogatz ch. 4) (2 hs) Introduction to phase oscillators Nonlinear oscillator Fireflies and entrainment
3 Outline Introduction to phase oscillators Nonlinear oscillator (Adler equation) Example: overdamped pendulum Entrainment and locking Example: fireflies
4 Phase oscillator Flow on a circle: a function that assigns a unique velocity vector to each point on the circle. Example:
5 Linear oscillator: Two non-interacting oscillators periodically go in and out of phase Beat frequency = 1/T lap
6 Example of a phase oscillator
7 Interacting oscillators
8 In phase vs out of phase oscillation
9 Example: Integrate (accumulate) and fire oscillator
10 Other examples: heart beats, neuronal spikes
11 Nonlinear oscillator (Adler equation) Simple model for many nonlinear phase oscillators (neurons, circadian rhythms, overdamped driven pendulum), etc. Robert Adler ( ) is best known as the co-inventor of the television remote control using ultrasonic waves. But in the 1940s, he and others at Zenith Corporation were interested in reducing the number of vacuum tubes in an FM radio. The possibility that a locked oscillator might offer a solution inspired his 1946 paper A Study of Locking Phenomena in Oscillators.
12 For <1: simple model of an excitable system: With a small perturbation: fast return to the stable state But if the perturbation in larger than a threshold, then, long excursion before returning to the stable state.
13
14 Fixed points when a > Linear stability: The FP with cos *>0 is the stable one.
15 Oscillation period when a < a=0: uniform oscillator T when a :
16 Bottleneck Period grows to infinite as critical slowing down : early warning signal of a critical transition ahead. Generic feature at a saddle-node bifurcation
17 Example: overdamped pendulum driven by a constant torque b very large: Dimension-less equation:
18 Gravity helps the external torque Gravity opposes the external torque
19 Strogatz video Synchronous rhythmic flashing of fireflies
20 Model (Ermentrout and Rinzel 1984) There is a external periodic stimulus with frequency : Response of a firefly ( ) to the stimulus ( ): if the stimulus is ahead on the firefly cycle, the firefly tries to speed up to synchronize; But if the firefly is flashing too early, then slows down If is ahead [0 < - < ] then sin( - )>0 and the firefly speeds up [d /dt > ] The parameter A measures the capacity of the firefly to adapt its flashing frequency.
21 Analysis Dimensionless model: detuning parameter (Adler equation)
22 The firefly and the stimulus flash simultaneously The firefly and the stimulus are phase locked (entrainment): there is a stable and constant phase difference The firefly and the stimulus are unlocked: phase drift
23 Entrainment is possible only if the frequency of the external stimulus,, is close to the firefly frequency, A
24 Potential interpretation V( ) cos Small detuning Large detuning
25 Arnold tongues If the external frequency is not close to the firefly frequency,, then, a different type of synchronization is possible: the firefly can fire m pulses each n pulses of the external signal. A
26 Summary A vector field on a circle is a rule that assigns a unique velocity vector to each point on the circle simple model to describe phaselocking of a nonlinear oscillator to an external periodic signal. In the phase-locked state, the oscillator maintains a constant phase difference relative to the signal. An oscillator can be entrained to an external periodic signal if the frequencies are similar.
27 x Period T Class / Home work Solve Adler s equation with =1, A=0.99 and (0)= /2 With =1, calculate the average oscillation period and compare with the analytical expression With =1/sqrt(2), calculate the trajectory for an arbitrary initial condition t A (t) Time
28 Bibliography Steven H. Strogatz: Nonlinear dynamics and chaos, with applications to physics, biology, chemistry and engineering (Addison-Wesley Pub. Co., 1994). Ch. 4 A. Pikovsky, M. Rosenblum and J. Kurths, Synchronization, a universal concept in nonlinear science (Cambridge University Press 2001). Chapters 1-3
Firefly Synchronization
Firefly Synchronization Hope Runyeon May 3, 2006 Imagine an entire tree or hillside of thousands of fireflies flashing on and off all at once. Very few people have been fortunate enough to see this synchronization
More informationNonlinear Systems, Chaos and Control in Engineering
Coordinating unit: Teaching unit: Academic year: Degree: ECTS credits: 2018 205 - ESEIAAT - Terrassa School of Industrial, Aerospace and Audiovisual Engineering 748 - FIS - Department of Physics BACHELOR'S
More informationSynchronization and Phase Oscillators
1 Synchronization and Phase Oscillators Richard Bertram Department of Mathematics and Programs in Neuroscience and Molecular Biophysics Florida State University Tallahassee, Florida 32306 Synchronization
More informationEntrainment Alex Bowie April 7, 2004
Entrainment Alex Bowie April 7, 2004 Abstract The driven Van der Pol oscillator displays entrainment, quasiperiodicity, and chaos. The characteristics of these different modes are discussed as well as
More informationPhase Oscillators. and at r, Hence, the limit cycle at r = r is stable if and only if Λ (r ) < 0.
1 Phase Oscillators Richard Bertram Department of Mathematics and Programs in Neuroscience and Molecular Biophysics Florida State University Tallahassee, Florida 32306 2 Phase Oscillators Oscillations
More informationInternal and external synchronization of self-oscillating oscillators with non-identical control parameters
Internal and external synchronization of self-oscillating oscillators with non-identical control parameters Emelianova Yu.P., Kuznetsov A.P. Department of Nonlinear Processes, Saratov State University,
More informationSaturation of Information Exchange in Locally Connected Pulse-Coupled Oscillators
Saturation of Information Exchange in Locally Connected Pulse-Coupled Oscillators Will Wagstaff School of Computer Science, Georgia Institute of Technology, Atlanta, Georgia 30332, USA (Dated: 13 December
More informationFirefly Synchronization. Morris Huang, Mark Kingsbury, Ben McInroe, Will Wagstaff
Firefly Synchronization Morris Huang, Mark Kingsbury, Ben McInroe, Will Wagstaff Biological Inspiration Why do fireflies flash? Mating purposes Males flash to attract the attention of nearby females Why
More informationNonlinear Dynamics: Synchronisation
Nonlinear Dynamics: Synchronisation Bristol Centre for Complexity Sciences Ian Ross BRIDGE, School of Geographical Sciences, University of Bristol October 19, 2007 1 / 16 I: Introduction 2 / 16 I: Fireflies
More informationProblem Set Number 02, j/2.036j MIT (Fall 2018)
Problem Set Number 0, 18.385j/.036j MIT (Fall 018) Rodolfo R. Rosales (MIT, Math. Dept., room -337, Cambridge, MA 0139) September 6, 018 Due October 4, 018. Turn it in (by 3PM) at the Math. Problem Set
More informationPhase Locking. 1 of of 10. The PRC's amplitude determines which frequencies a neuron locks to. The PRC's slope determines if locking is stable
Printed from the Mathematica Help Browser 1 1 of 10 Phase Locking A neuron phase-locks to a periodic input it spikes at a fixed delay [Izhikevich07]. The PRC's amplitude determines which frequencies a
More informationPredicting Synchrony in Heterogeneous Pulse Coupled Oscillators
Predicting Synchrony in Heterogeneous Pulse Coupled Oscillators Sachin S. Talathi 1, Dong-Uk Hwang 1, Abraham Miliotis 1, Paul R. Carney 1, and William L. Ditto 1 1 J Crayton Pruitt Department of Biomedical
More informationDynamical Systems and Chaos Part II: Biology Applications. Lecture 10: Coupled Systems. Ilya Potapov Mathematics Department, TUT Room TD325
Dynamical Systems and Chaos Part II: Biology Applications Lecture 10: Coupled Systems. Ilya Potapov Mathematics Department, TUT Room TD325 Foreword In order to model populations of physical/biological
More informationStochastic Oscillator Death in Globally Coupled Neural Systems
Journal of the Korean Physical Society, Vol. 52, No. 6, June 2008, pp. 19131917 Stochastic Oscillator Death in Globally Coupled Neural Systems Woochang Lim and Sang-Yoon Kim y Department of Physics, Kangwon
More informationLecture 5. Outline: Limit Cycles. Definition and examples How to rule out limit cycles. Poincare-Bendixson theorem Hopf bifurcations Poincare maps
Lecture 5 Outline: Limit Cycles Definition and examples How to rule out limit cycles Gradient systems Liapunov functions Dulacs criterion Poincare-Bendixson theorem Hopf bifurcations Poincare maps Limit
More informationModelling biological oscillations
Modelling biological oscillations Shan He School for Computational Science University of Birmingham Module 06-23836: Computational Modelling with MATLAB Outline Outline of Topics Van der Pol equation Van
More informationPhase Model for the relaxed van der Pol oscillator and its application to synchronization analysis
Phase Model for the relaxed van der Pol oscillator and its application to synchronization analysis Mimila Prost O. Collado J. Automatic Control Department, CINVESTAV IPN, A.P. 4 74 Mexico, D.F. ( e mail:
More informationPhase Synchronization of Coupled Rossler Oscillators: Amplitude Effect
Commun. Theor. Phys. (Beijing, China) 47 (2007) pp. 265 269 c International Academic Publishers Vol. 47, No. 2, February 15, 2007 Phase Synchronization of Coupled Rossler Oscillators: Amplitude Effect
More informationProblem Set Number 2, j/2.036j MIT (Fall 2014)
Problem Set Number 2, 18.385j/2.036j MIT (Fall 2014) Rodolfo R. Rosales (MIT, Math. Dept.,Cambridge, MA 02139) Due Mon., September 29, 2014. 1 Inverse function problem #01. Statement: Inverse function
More informationChapter 24 BIFURCATIONS
Chapter 24 BIFURCATIONS Abstract Keywords: Phase Portrait Fixed Point Saddle-Node Bifurcation Diagram Codimension-1 Hysteresis Hopf Bifurcation SNIC Page 1 24.1 Introduction In linear systems, responses
More informationReceived 15 October 2004
Brief Review Modern Physics Letters B, Vol. 18, No. 23 (2004) 1135 1155 c World Scientific Publishing Company COUPLING AND FEEDBACK EFFECTS IN EXCITABLE SYSTEMS: ANTICIPATED SYNCHRONIZATION MARZENA CISZAK,,
More informationExploring experimental optical complexity with big data nonlinear analysis tools. Cristina Masoller
Exploring experimental optical complexity with big data nonlinear analysis tools Cristina Masoller Cristina.masoller@upc.edu www.fisica.edu.uy/~cris 4 th International Conference on Complex Dynamical Systems
More informationarxiv: v1 [nlin.ao] 21 Feb 2018
Global synchronization of partially forced Kuramoto oscillators on Networks Carolina A. Moreira and Marcus A.M. de Aguiar Instituto de Física Física Gleb Wataghin, Universidade Estadual de Campinas, Unicamp
More informationTWO DIMENSIONAL FLOWS. Lecture 5: Limit Cycles and Bifurcations
TWO DIMENSIONAL FLOWS Lecture 5: Limit Cycles and Bifurcations 5. Limit cycles A limit cycle is an isolated closed trajectory [ isolated means that neighbouring trajectories are not closed] Fig. 5.1.1
More informationExternal Periodic Driving of Large Systems of Globally Coupled Phase Oscillators
External Periodic Driving of Large Systems of Globally Coupled Phase Oscillators T. M. Antonsen Jr., R. T. Faghih, M. Girvan, E. Ott and J. Platig Institute for Research in Electronics and Applied Physics
More informationAn analysis of how coupling parameters influence nonlinear oscillator synchronization
An analysis of how coupling parameters influence nonlinear oscillator synchronization Morris Huang, 1 Ben McInroe, 2 Mark Kingsbury, 2 and Will Wagstaff 3 1) School of Mechanical Engineering, Georgia Institute
More informationPhysics of the rhythmic applause
PHYSICAL REVIEW E VOLUME 61, NUMBER 6 JUNE 2000 Physics of the rhythmic applause Z. Néda and E. Ravasz Department of Theoretical Physics, Babeş-Bolyai University, strada Kogălniceanu nr.1, RO-3400, Cluj-Napoca,
More informationOn the Response of Neurons to Sinusoidal Current Stimuli: Phase Response Curves and Phase-Locking
On the Response of Neurons to Sinusoidal Current Stimuli: Phase Response Curves and Phase-Locking Michael J. Schaus and Jeff Moehlis Abstract A powerful technique for analyzing mathematical models for
More informationPhase Synchronization
Phase Synchronization Lecture by: Zhibin Guo Notes by: Xiang Fan May 10, 2016 1 Introduction For any mode or fluctuation, we always have where S(x, t) is phase. If a mode amplitude satisfies ϕ k = ϕ k
More informationDynamical Systems in Neuroscience: The Geometry of Excitability and Bursting
Dynamical Systems in Neuroscience: The Geometry of Excitability and Bursting Eugene M. Izhikevich The MIT Press Cambridge, Massachusetts London, England Contents Preface xv 1 Introduction 1 1.1 Neurons
More informationexponents and mode-locked solutions for integrate-and-fire dynamical systems
Loughborough University Institutional Repository Liapunov exponents and mode-locked solutions for integrate-and-fire dynamical systems This item was submitted to Loughborough University's Institutional
More informationA Bead on a Rotating Hoop
Ryan Seng and Michael Meeks May 15, 2008 Outline Table of Contents Figure: Hoop Diagram Introduction Introduction & Background The behavior of the bead will vary as it travels along the hoop, the dependent
More informationChapter 1. Introduction
Chapter 1 Introduction 1.1 What is Phase-Locked Loop? The phase-locked loop (PLL) is an electronic system which has numerous important applications. It consists of three elements forming a feedback loop:
More informationPredicting Phase Synchronization for Homoclinic Chaos in a CO 2 Laser
Predicting Phase Synchronization for Homoclinic Chaos in a CO 2 Laser Isao Tokuda, Jürgen Kurths, Enrico Allaria, Riccardo Meucci, Stefano Boccaletti and F. Tito Arecchi Nonlinear Dynamics, Institute of
More informationChimera states in networks of biological neurons and coupled damped pendulums
in neural models in networks of pendulum-like elements in networks of biological neurons and coupled damped pendulums J. Hizanidis 1, V. Kanas 2, A. Bezerianos 3, and T. Bountis 4 1 National Center for
More informationarxiv:nlin/ v1 [nlin.cd] 4 Oct 2005
Synchronization of Coupled Chaotic Dynamics on Networks R. E. Amritkar and Sarika Jalan Physical Research Laboratory, Navrangpura, Ahmedabad 380 009, India. arxiv:nlin/0510008v1 [nlin.cd] 4 Oct 2005 Abstract
More informationHuijgens synchronization: a challenge
Huijgens synchronization: a challenge H. Nijmeijer, A. Y. Pogromsky Department of Mechanical Engineering Eindhoven University of Technology P.O. Box 513, 5600 MB Eindhoven, The Netherlands Oscillations
More informationDynamical phase transitions in periodically driven model neurons
Dynamical phase transitions in periodically driven model neurons Jan R. Engelbrecht 1 and Renato Mirollo 2 1 Department of Physics, Boston College, Chestnut Hill, Massachusetts 02467, USA 2 Department
More informationUNIVERSITY OF CALIFORNIA SANTA BARBARA. Neural Oscillator Identification via Phase-Locking Behavior. Michael J. Schaus
UNIVERSITY OF CALIFORNIA SANTA BARBARA Neural Oscillator Identification via Phase-Locking Behavior by Michael J. Schaus A thesis submitted in partial satisfaction of the requirements for the degree of
More informationUSING COUPLED OSCILLATORS TO MODEL THE SINO-ATRIAL NODE IN THE HEART
USING COUPLED OSCILLATORS TO MODEL THE SINO-ATRIAL NODE IN THE HEART A Thesis Presented to the Faculty of the Graduate School of Cornell University in Partial Fulfillment of the Requirements for the Degree
More informationUniversity of Colorado. The Kuramoto Model. A presentation in partial satisfaction of the requirements for the degree of MSc in Applied Mathematics
University of Colorado The Kuramoto Model A presentation in partial satisfaction of the requirements for the degree of MSc in Applied Mathematics Jeff Marsh 2008 April 24 1 The Kuramoto Model Motivation:
More informationNeural Excitability in a Subcritical Hopf Oscillator with a Nonlinear Feedback
Neural Excitability in a Subcritical Hopf Oscillator with a Nonlinear Feedback Gautam C Sethia and Abhijit Sen Institute for Plasma Research, Bhat, Gandhinagar 382 428, INDIA Motivation Neural Excitability
More informationNonlinear Dynamics and Chaos Summer 2011
67-717 Nonlinear Dynamics and Chaos Summer 2011 Instructor: Zoubir Benzaid Phone: 424-7354 Office: Swart 238 Office Hours: MTWR: 8:30-9:00; MTWR: 12:00-1:00 and by appointment. Course Content: This course
More informationDynamics of delayed-coupled chaotic logistic maps: Influence of network topology, connectivity and delay times
PRAMANA c Indian Academy of Sciences Vol. 7, No. 6 journal of June 28 physics pp. 1 9 Dynamics of delayed-coupled chaotic logistic maps: Influence of network topology, connectivity and delay times ARTURO
More informationHysteretic Transitions in the Kuramoto Model with Inertia
Rostock 4 p. Hysteretic Transitions in the uramoto Model with Inertia A. Torcini, S. Olmi, A. Navas, S. Boccaletti http://neuro.fi.isc.cnr.it/ Istituto dei Sistemi Complessi - CNR - Firenze, Italy Istituto
More informationSynchrony in Neural Systems: a very brief, biased, basic view
Synchrony in Neural Systems: a very brief, biased, basic view Tim Lewis UC Davis NIMBIOS Workshop on Synchrony April 11, 2011 components of neuronal networks neurons synapses connectivity cell type - intrinsic
More informationNonlinear systems, chaos and control in Engineering
Nonlinear systems, chaos and control in Engineering Module 1 One-dimensional systems Cristina Masoller Cristina.masoller@upc.edu http://www.fisica.edu.uy/~cris/ Schedule Flows on the line (Strogatz ch.1
More informationCollective and Stochastic Effects in Arrays of Submicron Oscillators
DYNAMICS DAYS: Long Beach, 2005 1 Collective and Stochastic Effects in Arrays of Submicron Oscillators Ron Lifshitz (Tel Aviv), Jeff Rogers (HRL, Malibu), Oleg Kogan (Caltech), Yaron Bromberg (Tel Aviv),
More informationarxiv: v1 [nlin.ao] 3 May 2015
UNI-DIRECTIONAL SYNCHRONIZATION AND FREQUENCY DIFFERENCE LOCKING INDUCED BY A HETEROCLINIC RATCHET arxiv:155.418v1 [nlin.ao] 3 May 215 Abstract A system of four coupled oscillators that exhibits unusual
More information7 Two-dimensional bifurcations
7 Two-dimensional bifurcations As in one-dimensional systems: fixed points may be created, destroyed, or change stability as parameters are varied (change of topological equivalence ). In addition closed
More informationSynchronization: Bringing Order to Chaos
Synchronization: Bringing Order to Chaos A. Pikovsky Institut for Physics and Astronomy, University of Potsdam, Germany Florence, May 14, 2014 1/68 Historical introduction Christiaan Huygens (1629-1695)
More informationSynchronization plateaus in a lattice of coupled sine-circle maps
PHYSICAL REVIEW E VOLUME 61, NUMBER 5 MAY 2000 Synchronization plateaus in a lattice of coupled sine-circle maps Sandro E. de S. Pinto and Ricardo L. Viana Departamento de Física, Universidade Federal
More informationCanonical Neural Models 1
Canonical Neural Models 1 Frank Hoppensteadt 1 and Eugene zhikevich 2 ntroduction Mathematical modeling is a powerful tool in studying fundamental principles of information processing in the brain. Unfortunately,
More informationEntrainment and Chaos in the Hodgkin-Huxley Oscillator
Entrainment and Chaos in the Hodgkin-Huxley Oscillator Kevin K. Lin http://www.cims.nyu.edu/ klin Courant Institute, New York University Mostly Biomath - 2005.4.5 p.1/42 Overview (1) Goal: Show that the
More informationSYNCHRONIZATION IN CHAINS OF VAN DER POL OSCILLATORS
SYNCHRONIZATION IN CHAINS OF VAN DER POL OSCILLATORS Andreas Henrici ZHAW School of Engineering Technikumstrasse 9 CH-8401 Winterthur, Switzerland andreas.henrici@zhaw.ch Martin Neukom ZHdK ICST Toni-Areal,
More informationThe influence of noise on two- and three-frequency quasi-periodicity in a simple model system
arxiv:1712.06011v1 [nlin.cd] 16 Dec 2017 The influence of noise on two- and three-frequency quasi-periodicity in a simple model system A.P. Kuznetsov, S.P. Kuznetsov and Yu.V. Sedova December 19, 2017
More informationChaos. Lendert Gelens. KU Leuven - Vrije Universiteit Brussel Nonlinear dynamics course - VUB
Chaos Lendert Gelens KU Leuven - Vrije Universiteit Brussel www.gelenslab.org Nonlinear dynamics course - VUB Examples of chaotic systems: the double pendulum? θ 1 θ θ 2 Examples of chaotic systems: the
More informationSynchronization in delaycoupled bipartite networks
Synchronization in delaycoupled bipartite networks Ram Ramaswamy School of Physical Sciences Jawaharlal Nehru University, New Delhi February 20, 2015 Outline Ø Bipartite networks and delay-coupled phase
More informationBursting Oscillations of Neurons and Synchronization
Bursting Oscillations of Neurons and Synchronization Milan Stork Applied Electronics and Telecommunications, Faculty of Electrical Engineering/RICE University of West Bohemia, CZ Univerzitni 8, 3064 Plzen
More informationChapter 14 Semiconductor Laser Networks: Synchrony, Consistency, and Analogy of Synaptic Neurons
Chapter 4 Semiconductor Laser Networks: Synchrony, Consistency, and Analogy of Synaptic Neurons Abstract Synchronization among coupled elements is universally observed in nonlinear systems, such as in
More informationME 680- Spring Geometrical Analysis of 1-D Dynamical Systems
ME 680- Spring 2014 Geometrical Analysis of 1-D Dynamical Systems 1 Geometrical Analysis of 1-D Dynamical Systems Logistic equation: n = rn(1 n) velocity function Equilibria or fied points : initial conditions
More informationNeuronal Dynamics: Computational Neuroscience of Single Neurons
Week 4 part 5: Nonlinear Integrate-and-Fire Model 4.1 From Hodgkin-Huxley to 2D Neuronal Dynamics: Computational Neuroscience of Single Neurons Week 4 Recing detail: Two-dimensional neuron models Wulfram
More informationPhase synchronization of an ensemble of weakly coupled oscillators: A paradigm of sensor fusion
Phase synchronization of an ensemble of weakly coupled oscillators: A paradigm of sensor fusion Ariën J. van der Wal Netherlands Defence Academy (NLDA) 15 th ICCRTS Santa Monica, CA, June 22-24, 2010 Copyright
More informationA Glance at the Standard Map
A Glance at the Standard Map by Ryan Tobin Abstract The Standard (Chirikov) Map is studied and various aspects of its intricate dynamics are discussed. Also, a brief discussion of the famous KAM theory
More informationarxiv: v3 [nlin.cd] 26 Oct 2015
International Journal of Bifurcation and Chaos c World Scientific Publishing Company Periodic forcing of a 555-IC based electronic oscillator in the strong coupling limit arxiv:1407.6763v3 [nlin.cd] 26
More informationDesign of an Intelligent Control Scheme for Synchronizing Two Coupled Van Der Pol Oscillators
International Journal of ChemTech Research CODEN (USA): IJCRGG ISSN : 974-49 Vol.6, No., pp 533-548, October 4 CBSE4 [ nd and 3 rd April 4] Challenges in Biochemical Engineering and Biotechnology for Sustainable
More informationIntroduction to Applied Nonlinear Dynamical Systems and Chaos
Stephen Wiggins Introduction to Applied Nonlinear Dynamical Systems and Chaos Second Edition With 250 Figures 4jj Springer I Series Preface v L I Preface to the Second Edition vii Introduction 1 1 Equilibrium
More informationDynamics of a mass-spring-pendulum system with vastly different frequencies
Dynamics of a mass-spring-pendulum system with vastly different frequencies Hiba Sheheitli, hs497@cornell.edu Richard H. Rand, rhr2@cornell.edu Cornell University, Ithaca, NY, USA Abstract. We investigate
More informationLearning Cycle Linear Hybrid Automata for Excitable Cells
Learning Cycle Linear Hybrid Automata for Excitable Cells Sayan Mitra Joint work with Radu Grosu, Pei Ye, Emilia Entcheva, I V Ramakrishnan, and Scott Smolka HSCC 2007 Pisa, Italy Excitable Cells Outline
More informationHilbert analysis unveils inter-decadal changes in large-scale patterns of surface air temperature variability
Hilbert analysis unveils inter-decadal changes in large-scale patterns of surface air temperature variability Dario A. Zappala 1, Marcelo Barreiro 2 and Cristina Masoller 1 (1) Universitat Politecnica
More informationA damped pendulum forced with a constant torque
A damped pendulum forced with a constant torque P. Coullet, a J. M. Gilli, M. Monticelli, and N. Vandenberghe b Institut Non Linéaire de Nice, UMR 6618 CNRS - UNSA, 1361 Route des Lucioles, 06560, Valbonne,
More informationPHYSICS 110A : CLASSICAL MECHANICS
PHYSICS 110A : CLASSICAL MECHANICS 1. Introduction to Dynamics motion of a mechanical system equations of motion : Newton s second law ordinary differential equations (ODEs) dynamical systems simple 2.
More informationDynamical behaviour of multi-particle large-scale systems
Dynamical behaviour of multi-particle large-scale systems António M. Lopes J.A. Tenreiro Machado Abstract Collective behaviours can be observed in both natural and man-made systems composed of a large
More informationB5.6 Nonlinear Systems
B5.6 Nonlinear Systems 5. Global Bifurcations, Homoclinic chaos, Melnikov s method Alain Goriely 2018 Mathematical Institute, University of Oxford Table of contents 1. Motivation 1.1 The problem 1.2 A
More informationPCMI Project: Resetting Reentrant Excitation Oscillations in Different Geometries
PCMI Project: Resetting Reentrant Excitation Oscillations in Different Geometries Elizabeth Doman mentor: John Milton summer 2005 PCMI Project:Resetting Reentrant ExcitationOscillations in Different Geometries
More informationDRIVEN and COUPLED OSCILLATORS. I Parametric forcing The pendulum in 1:2 resonance Santiago de Compostela
DRIVEN and COUPLED OSCILLATORS I Parametric forcing The pendulum in 1:2 resonance Santiago de Compostela II Coupled oscillators Resonance tongues Huygens s synchronisation III Coupled cell system with
More informationPhase Response. 1 of of 11. Synaptic input advances (excitatory) or delays (inhibitory) spiking
Printed from the Mathematica Help Browser 1 1 of 11 Phase Response Inward current-pulses decrease a cortical neuron's period (Cat, Layer V). [Fetz93] Synaptic input advances (excitatory) or delays (inhibitory)
More informationarxiv: v1 [physics.class-ph] 5 Jan 2012
Damped bead on a rotating circular hoop - a bifurcation zoo Shovan Dutta Department of Electronics and Telecommunication Engineering, Jadavpur University, Calcutta 700 032, India. Subhankar Ray Department
More informationDYNAMICS OF THREE COUPLED VAN DER POL OSCILLATORS WITH APPLICATION TO CIRCADIAN RHYTHMS
Proceedings of IDETC/CIE 2005 ASME 2005 International Design Engineering Technical Conferences & Computers and Information in Engineering Conference September 24-28, 2005, Long Beach, California USA DETC2005-84017
More informationUniversity of Bristol - Explore Bristol Research. Early version, also known as pre-print
Erzgraber, H, Krauskopf, B, & Lenstra, D (2004) Compound laser modes of mutually delay-coupled lasers : bifurcation analysis of the locking region Early version, also known as pre-print Link to publication
More informationStochastic resonance in the absence and presence of external signals for a chemical reaction
JOURNAL OF CHEMICAL PHYSICS VOLUME 110, NUMBER 7 15 FEBRUARY 1999 Stochastic resonance in the absence and presence of external signals for a chemical reaction Lingfa Yang, Zhonghuai Hou, and Houwen Xin
More informationProceedings of Neural, Parallel, and Scientific Computations 4 (2010) xx-xx PHASE OSCILLATOR NETWORK WITH PIECEWISE-LINEAR DYNAMICS
Proceedings of Neural, Parallel, and Scientific Computations 4 (2010) xx-xx PHASE OSCILLATOR NETWORK WITH PIECEWISE-LINEAR DYNAMICS WALTER GALL, YING ZHOU, AND JOSEPH SALISBURY Department of Mathematics
More informationDynamical systems in neuroscience. Pacific Northwest Computational Neuroscience Connection October 1-2, 2010
Dynamical systems in neuroscience Pacific Northwest Computational Neuroscience Connection October 1-2, 2010 What do I mean by a dynamical system? Set of state variables Law that governs evolution of state
More informationElectrophysiology of the neuron
School of Mathematical Sciences G4TNS Theoretical Neuroscience Electrophysiology of the neuron Electrophysiology is the study of ionic currents and electrical activity in cells and tissues. The work of
More informationOne Dimensional Dynamical Systems
16 CHAPTER 2 One Dimensional Dynamical Systems We begin by analyzing some dynamical systems with one-dimensional phase spaces, and in particular their bifurcations. All equations in this Chapter are scalar
More informationAnalytic Expressions for Rate and CV of a Type I Neuron Driven by White Gaussian Noise
LETTER Communicated by Bard Ermentrout Analytic Expressions for Rate and CV of a Type I Neuron Driven by White Gaussian Noise Benjamin Lindner Lindner.Benjamin@science.uottawa.ca André Longtin alongtin@physics.uottawa.ca
More informationPerturbation analysis of entrainment in a micromechanical limit cycle oscillator
Communications in Nonlinear Science and Numerical Simulation 12 (2007) 1291 1301 www.elsevier.com/locate/cnsns Perturbation analysis of entrainment in a micromechanical limit cycle oscillator Manoj Pandey
More informationDYNAMICS OF THREE COUPLED VAN DER POL OSCILLATORS WITH APPLICATION TO CIRCADIAN RHYTHMS
DYNAMICS OF THREE COUPLED VAN DER POL OSCILLATORS WITH APPLICATION TO CIRCADIAN RHYTHMS A Thesis Presented to the Faculty of the Graduate School of Cornell University in Partial Fulfillment of the Requirements
More informationNonlinear and Collective Effects in Mesoscopic Mechanical Oscillators
Dynamics Days Asia-Pacific: Singapore, 2004 1 Nonlinear and Collective Effects in Mesoscopic Mechanical Oscillators Alexander Zumdieck (Max Planck, Dresden), Ron Lifshitz (Tel Aviv), Jeff Rogers (HRL,
More informationWhat Every Electrical Engineer Should Know about Nonlinear Circuits and Systems
What Every Electrical Engineer Should Know about Nonlinear Circuits and Systems Michael Peter Kennedy FIEEE University College Cork, Ireland 2013 IEEE CAS Society, Santa Clara Valley Chapter 05 August
More informationExperimental Huygens synchronization of oscillators
1 1 Experimental Huygens synchronization of oscillators Alexander Pogromsky, David Rijlaarsdam, and Henk Nijmeijer Department of Mechanical engineering Eindhoven University of Technology The Netherlands
More informationNonsmooth systems: synchronization, sliding and other open problems
John Hogan Bristol Centre for Applied Nonlinear Mathematics, University of Bristol, England Nonsmooth systems: synchronization, sliding and other open problems 2 Nonsmooth Systems 3 What is a nonsmooth
More informationReduction of Conductance Based Models with Slow Synapses to Neural Nets
Reduction of Conductance Based Models with Slow Synapses to Neural Nets Bard Ermentrout October 1, 28 Abstract The method of averaging and a detailed bifurcation calculation are used to reduce a system
More informationA damped pendulum forced with a constant torque
A damped pendulum forced with a constant torque P. Coullet, J.M. Gilli, M. Monticelli, and N. Vandenberghe Institut Non Linéaire de Nice, UMR 128 CNRS - UNSA, 1361 Route des Lucioles, 06560, Valbonne,
More informationME DYNAMICAL SYSTEMS SPRING SEMESTER 2009
ME 406 - DYNAMICAL SYSTEMS SPRING SEMESTER 2009 INSTRUCTOR Alfred Clark, Jr., Hopeman 329, x54078; E-mail: clark@me.rochester.edu Office Hours: M T W Th F 1600 1800. COURSE TIME AND PLACE T Th 1400 1515
More informationMost Probable Escape Path Method and its Application to Leaky Integrate And Fire Neurons
Most Probable Escape Path Method and its Application to Leaky Integrate And Fire Neurons Simon Fugmann Humboldt University Berlin 13/02/06 Outline The Most Probable Escape Path (MPEP) Motivation General
More informationNonlinear Oscillators: Free Response
20 Nonlinear Oscillators: Free Response Tools Used in Lab 20 Pendulums To the Instructor: This lab is just an introduction to the nonlinear phase portraits, but the connection between phase portraits and
More informationClassification of Phase Portraits at Equilibria for u (t) = f( u(t))
Classification of Phase Portraits at Equilibria for u t = f ut Transfer of Local Linearized Phase Portrait Transfer of Local Linearized Stability How to Classify Linear Equilibria Justification of the
More informationNeuroscience applications: isochrons and isostables. Alexandre Mauroy (joint work with I. Mezic)
Neuroscience applications: isochrons and isostables Alexandre Mauroy (joint work with I. Mezic) Outline Isochrons and phase reduction of neurons Koopman operator and isochrons Isostables of excitable systems
More informationChapter 13 Lecture. Essential University Physics Richard Wolfson 2 nd Edition. Oscillatory Motion Pearson Education, Inc.
Chapter 13 Lecture Essential University Physics Richard Wolfson nd Edition Oscillatory Motion Slide 13-1 In this lecture you ll learn To describe the conditions under which oscillatory motion occurs To
More information