61. School-nonsmooth complementarity systems and related classes of nonsmooth dynamical systems. . Applications to second order dynamical systems with friction http://www.inrialpes.fr/bipop/schoolnonsmooth/

CEA-EDF-INRIA SCHOOL "NONSMOOTH DYNAMICAL SYSTEMS. ANALYSIS, CONTROL, SIMULATION AND APPLICATIONS" Location: INRIA Rocquencourt (near Paris) Date: 29 May to 02 June 2006 Registration and practical information: cea-edf-inria schools web site Organizer: Bernard Brogliato Bipop project , F) Speakers Scientific objectives Program More details ... List of hotels and registration form Speakers H. Schumacher Tilburg University , NL) M. Monteiro Marques (Centro de Matematica e Applicacoes Fundamentais CMAF Lisbon, P) R. Leine (Mechanical Engineering, ETH Zurich CH) S. Adly (LACO, university of Limoges, F) M. Jean LMA CNRS, F) V. Acary H. de Jong (INRIA Sophia-Antipolis, F) back to top Main objectives This school is therefore intended to all researchers in the fields of Control, Applied Mathematics, Virtual Reality, Mechanics, Robotics, Bifurcations and Chaos, and even Mathematical Biology, who want to get acquainted with nonsmooth dynamical systems. back to top Preliminary Programme Mathematical tools M. Monteiro-Marques (CMAF Lisbon), H. Schumacher(Tilburg university) Convex and nonsmooth analysis, basic useful tools (2 h. MDPMM)

62. Dynamical Systems And Numerical Analysis The New Zealand Institute of Mathematics and its Applications (NZIMA) is sponsoring a thematic programme on dynamical systems and Numerical Analysis. http://www.math.waikato.ac.nz/~rua/dsna.html

Thematic programme on Dynamical Systems and Numerical Analysis Auckland , July - December, 2004 Themes Committee Events One day meetings The New Zealand Institute of Mathematics and its Applications ( NZIMA ) is sponsoring a thematic programme on Dynamical Systems and Numerical Analysis. The programme will be based at The University of Auckland (New Zealand) and will run July - December, 2004. Programme themes The programme will focus on the theory and applications of dynamical systems and the numerical analysis of differential equations. Particular attention will be paid to the interaction between the two areas. The subthemes are (1) Geometric mechanics (structures on manifolds, structure of DEs, symmetry reduction); (2) Continuous dynamical systems including PDEs (qualitative phenomena, bifurcations, chaos, applications, role of symmetry, numerical treatment); (3) Discrete dynamical systems (computation in topological dynamics, invariant measures, ergodic theory, chaos); (4) Geometric integration (construction of algorithms, role in applications, performance, symmetry reduction). Applications run through all the themes, and anticipated participants work in applications including mechanics, fluid mechanics, modeling cell function, neuron modeling, epidemiology, synchronization, information theory, molecular dynamics, and mathematics in industry. Programme Committee Vivien Kirk (University of Auckland) Mark McGuinness (Victoria University of Wellington) Robert McLachlan (Director) (Massey University)

63. Nonlinear Dynamical Systems (NLDS) @ San Diego State The Theory of dynamical systems is the paradigm for modeling and studying phenomena that undergo spatial and temporal evolution. These phenomena range from http://nlds.sdsu.edu/

Nonlinear Dynamical Systems at SDSU Dynamical Systems: The Theory of Dynamical Systems is the paradigm for modeling and studying phenomena that undergo spatial and temporal evolution. These phenomena range from simple pendula to complex atomic lattices, from planetary motion to the weather system, from population dynamics to complex biological organisms. The application of Dynamical Systems has nowadays spread to a wide spectrum of disciplines including physics, chemistry, biochemistry, biology, economy and even sociology. In the past, modeling was mainly restricted to linear, or almost linear, systems for which an analytical treatment is tractable. In recent years, thanks to the advent of powerful computers and the Theory of Dynamical Systems, it is now possible to tackle, at some extent, nonlinear systems. After all, nonlinearity is at the heart of most of the interesting dynamics. Sample Gallery: As a taster for the kind of applications were Dynamical Systems is an indispensable tool, we present the following gallery of problems. This constitute a sample of topics where the members of our group have been successful in applying Dynamical Systems ideas. Choose from: Mathematical Physics Solitons Vortex arrays Breathers Hopping Patterns ... Fluidization Chaos Cycling Chaos Transition to chaos Imaging Image Restoration Imaging in Random Media Mathematical biology Aggregation and Metastability Cell cycles Age-structured models To see a larger version for each image/film just click on it.

64. SDS2008 STRUCTURAL dynamical systems Computational Aspects WORKSHOP SDS2008 nonsmooth dynamical systems; - dynamical systems with variable structure; http://www.dm.uniba.it/~delbuono/sds2008.htm

65. Introduction To The Modern Theory Of Dynamical Systems The authors have a definite idea what dynamical systems theory is all about. A first rate text with more than enough dynamics to suit just about http://www.tufts.edu/~bhasselb/thebook.html

var sc_project=3230804; var sc_invisible=0; var sc_partition=35; var sc_security="6e7345e7"; Introduction to the Modern Theory of Dynamical Systems By Anatole Katok and Boris Hasselblatt With a supplement by Anatole Katok and Leonardo Mendoza Encyclopedia of Mathematics and Its Applications 54 Cambridge University Press , 1995. ISBN 0-521-34187-6 Paperback, 1997: ISBN 0-521-57557-5. Price : $60. Call 1-800-872 7423 or order online Russian translation: Publishing House Factorial, 1999 Samples Reviews The authors ... have a definite idea what dynamical systems theory is all about. A first rate text with more than enough dynamics to suit just about anyone's taste...carefully and masterfully written...a classic compendium. It is a must-have for any researcher in the field. R. Devaney, Mathematical Intelligencer A comprehensive exposition. Seemingly every topic is covered in depth. M. Richey, American Mathematical Monthly The book...is unique in giving a detailed presentation of a large part of smooth dynamics in a consistent style...unrivalled as a comprehensice introduction at an advanced level. D. Ruelle

66. Remote Laboratory By Dr. Sven K. Esche Remote dynamical systems laboratory mechanical vibration system, muffler system, liquid level system, electrical systems. http://dynamics.soe.stevens-tech.edu/

67. Glossary Of Dynamical Systems Terms Attractor An attractor is a trajectory of a dynamical system such that initial conditions nearby it will tend toward it in forward time. http://mrb.niddk.nih.gov/glossary/glossary.html

Glossary of Dynamical Systems Terms Asymptotic stability A fixed point is asymptotically stable if it is stable and nearby initial conditions tend to the fixed point in positive time. For limit cycles , it is called orbital asymptotic stability and then there is an associated phase shift. A fixed point is locally stable if the eigenvalues of the linearized system have negative real parts. A limit cycle is orbitally asymptotically stable if the Floquet multipliers of the linearized system lie inside the unit circle with the exception of a multiplier with value 1. Attractor An attractor is a trajectory of a dynamical system such that initial conditions nearby it will tend toward it in forward time. Often called a stable attractor but this is redundant. Averaging A method in which one can average over the period of some system when one of the variables evolve slowly compared to length of the period. Bifurcation point This is a point in parameter space where we can expect to see a change in the qualitative behavior of the system, such as a loss of stability of a solution or the emergence of a new solution with different properties. Bifurcation diagram This is a depiction of the solution to a dynamical system as one or more parameters vary. Typically, the horizontal axis has the parameter and the vertical axis has some aspect of the solution, such as, the norm of the solution, the maximum and/or minimum values of one of the state variables, the frequency of a solution, or the average of one of the state variables.

68. Dynamical System -- From Wolfram MathWorld Technically, a dynamical system is a smooth action of the reals or the integers on another object (usually a manifold). When the reals are acting, http://mathworld.wolfram.com/DynamicalSystem.html

Algebra Applied Mathematics Calculus and Analysis Discrete Mathematics ... Interactive Demonstrations Dynamical System A means of describing how one state develops into another state over the course of time. Technically, a dynamical system is a smooth action of the reals or the integers on another object (usually a manifold ). When the reals are acting, the system is called a continuous dynamical system, and when the integers are acting, the system is called a discrete dynamical system. If is any continuous function , then the evolution of a variable can be given by the formula This equation can also be viewed as a difference equation so defining gives which can be read "as changes by 1 unit, changes by ." This is the discrete analog of the differential equation SEE ALSO: Anosov Diffeomorphism Anosov Flow Axiom A Diffeomorphism Axiom A Flow ... Symbolic Dynamics REFERENCES: Aoki, N. and Hiraide, K. Topological Theory of Dynamical Systems. Amsterdam, Netherlands: North-Holland, 1994. Golubitsky, M. Introduction to Applied Nonlinear Dynamical Systems and Chaos. New York: Springer-Verlag, 1997. Guckenheimer, J. and Holmes, P.

69. Language As A Dynamical System In the next section, I would like to suggest an alternative view of computation, in which language processing is seen as taking place in a dynamical system. http://crl.ucsd.edu/~elman/Papers/dynamics/dynamics.html

Language as a dynamical system Jeffrey L. Elman University of California, San Diego Introduction Despite considerable diversity among theories about how humans process language, there are a number of fundamental assumptions which are shared by most such theories. This consensus extends to the very basic question about what counts as a cognitive process. So although many cognitive scientists are fond of referring to the brain as a `mental organ' (e.g., Chomsky, 1975)implying a similarity to other organs such as the liver or kidneysit is also assumed that the brain is an organ with special properties which set it apart. Brains `carry out computation' (it is argued); they `entertain propositions'; and they `support representations'. Brains may be organs, but they are very different than the other organs found in the body. In the view I will outline, representations are not abstract symbols but rather regions of state space. Rules are not operations on symbols but rather embedded in the dynamics of the system, a dynamics which permits movement from certain regions to others while making other transitions difficult. Let me emphasize from the beginning that I am not arguing that language behavior is not rule-governed. Instead, I suggest that the nature of the rules may be different than what we have conceived them to be. The remainder of this chapter is organized as follows. In order to make clear how the dynamical approach (instantiated concretely here as a connectionist network) differs from the standard approach, I begin by summarizing some of the central characteristics of the traditional approach to language processing. Then I shall describe a connectionist model which embodies different operating principles from the classical approach to symbolic computation. The results of several simulations using that architecture are presented and discussed. Finally, I will discuss some of the results which may be yielded by this perspective.

70. DSA - Journal Management System Dynamic systems and Applications. Journal Management System, Dynamic Publishers, Inc. Contact Forms Order Search. Journal Home. Email Chair http://www.dynamicpublishers.com/DSA/

@import "openconf.css"; Dynamic Systems and Applications Journal Management System, Dynamic Publishers, Inc. Contact Forms Order ... Search Journal Home Email Chair Topics Covered Stochastic and/or deterministic Differential Equations (ordinary, partial, functional, etc), Integral Equations (Fredholm, Volterra, Singular, etc), Integro-Differential Equations, Discrete Analogs of these equations and Applications. Honorary Editorial Board J.K. Hale (USA) M.A. Krasnoselskii (Russia) V. Lakshmikantham (USA) I. Prigogine (Belgium) R.Z. Sagdeev (USA) P.A. Samuelson (USA) Editorial Board R.P. Agarwal (USA) S. Ahmad (USA) N.U. Ahmed (Canada) M.P. Bekakos (Greece) A. Cellina (Italy) C.Y. Chan (USA) K.C. Chang (China) Shui-Nee. Chow (USA) G.Da. Prato (Italy) A. Friedman (USA) K. Gopalsamy (Australia) J.R. Graef (USA) L. Hatvani (Hungary) D. Kannan (USA) V. Kolmanovskii (Russia) G.S. Ladde (USA) P.L. Lions (France) N.G. Medhin (USA) M.Z. Nashed (USA) S. Pederson (USA) D. ORegan (Ireland) M. Rama Mohana Rao (USA) S. Reich (USA) C.P. Tsokos (USA) J. vom Scheidt (BRD) W. Walter (FRG) F. Zanolin (Italy) Submit: Submit a Paper Re-Upload Paper Review: Sign In Sign up keycode required: Editor-in-Chief Sambandham, M.(USA)

71. Java Stuff 2D Time dynamical System Java Applet. by Norman Dannug, Paul Watta, and Mohamad Hassoun (May 1996). This page contains a java program that starts an applet http://neuron.eng.wayne.edu/bpDynamics/TimeDynSys.html

2D Time Dynamical System Java Applet by Norman Dannug, Paul Watta, and Mohamad Hassoun (May 1996) This page contains a java program that starts an applet which plots 2D Time Dynamical functions. To use this applet just use the mouse to select a starting point. The program will then plot the state trajectory of this system from the starting point you selected. You can change the value of delta T.

72. MFO This webpage uses frames, a feature that your browser does not support. You may contact for general information and for technical issues. http://www.mfo.de/cgi-bin/path?programme

Page 4     61-72 of 72    Back | 1  | 2  | 3  | 4