Dynamical Systems And Processes PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Dynamical Systems And Processes PDF full book. Access full book title Dynamical Systems And Processes.
Author | : M. Reza Rahimi Tabar |
Publisher | : Springer |
Total Pages | : 280 |
Release | : 2019-07-04 |
Genre | : Science |
ISBN | : 3030184722 |
Download Analysis and Data-Based Reconstruction of Complex Nonlinear Dynamical Systems Book in PDF, ePub and Kindle
This book focuses on a central question in the field of complex systems: Given a fluctuating (in time or space), uni- or multi-variant sequentially measured set of experimental data (even noisy data), how should one analyse non-parametrically the data, assess underlying trends, uncover characteristics of the fluctuations (including diffusion and jump contributions), and construct a stochastic evolution equation? Here, the term "non-parametrically" exemplifies that all the functions and parameters of the constructed stochastic evolution equation can be determined directly from the measured data. The book provides an overview of methods that have been developed for the analysis of fluctuating time series and of spatially disordered structures. Thanks to its feasibility and simplicity, it has been successfully applied to fluctuating time series and spatially disordered structures of complex systems studied in scientific fields such as physics, astrophysics, meteorology, earth science, engineering, finance, medicine and the neurosciences, and has led to a number of important results. The book also includes the numerical and analytical approaches to the analyses of complex time series that are most common in the physical and natural sciences. Further, it is self-contained and readily accessible to students, scientists, and researchers who are familiar with traditional methods of mathematics, such as ordinary, and partial differential equations. The codes for analysing continuous time series are available in an R package developed by the research group Turbulence, Wind energy and Stochastic (TWiSt) at the Carl von Ossietzky University of Oldenburg under the supervision of Prof. Dr. Joachim Peinke. This package makes it possible to extract the (stochastic) evolution equation underlying a set of data or measurements.
Author | : Michel Weber |
Publisher | : European Mathematical Society |
Total Pages | : 778 |
Release | : 2009 |
Genre | : Mathematics |
ISBN | : 9783037190463 |
Download Dynamical Systems and Processes Book in PDF, ePub and Kindle
This book presents in a concise and accessible way, as well as in a common setting, various tools and methods arising from spectral theory, ergodic theory and stochastic processes theory, which form the basis of and contribute interactively a great deal to the current research on almost-everywhere convergence problems. Researchers working in dynamical systems and at the crossroads of spectral theory, ergodic theory and stochastic processes will find the tools, methods, and results presented in this book of great interest. It is written in a style accessible to graduate students.
Author | : Josef Honerkamp |
Publisher | : John Wiley & Sons |
Total Pages | : 558 |
Release | : 1996-12-17 |
Genre | : Mathematics |
ISBN | : 9780471188346 |
Download Stochastic Dynamical Systems Book in PDF, ePub and Kindle
This unique volume introduces the reader to the mathematical language for complex systems and is ideal for students who are starting out in the study of stochastical dynamical systems. Unlike other books in the field it covers a broad array of stochastic and statistical methods.
Author | : Matthijs Koopmans |
Publisher | : Springer |
Total Pages | : 412 |
Release | : 2016-02-19 |
Genre | : Education |
ISBN | : 3319275771 |
Download Complex Dynamical Systems in Education Book in PDF, ePub and Kindle
This book capitalizes on the developments in dynamical systems and education by presenting some of the most recent advances in this area in seventeen non-overlapping chapters. The first half of the book discusses the conceptual framework of complex dynamical systems and its applicability to educational processes. The second half presents a set of empirical studies that that illustrate the use of various research methodologies to investigate complex dynamical processes in education, and help the reader appreciate what we learn about dynamical processes in education from using these approaches.
Author | : Juš Kocijan |
Publisher | : Springer |
Total Pages | : 267 |
Release | : 2015-11-21 |
Genre | : Technology & Engineering |
ISBN | : 3319210211 |
Download Modelling and Control of Dynamic Systems Using Gaussian Process Models Book in PDF, ePub and Kindle
This monograph opens up new horizons for engineers and researchers in academia and in industry dealing with or interested in new developments in the field of system identification and control. It emphasizes guidelines for working solutions and practical advice for their implementation rather than the theoretical background of Gaussian process (GP) models. The book demonstrates the potential of this recent development in probabilistic machine-learning methods and gives the reader an intuitive understanding of the topic. The current state of the art is treated along with possible future directions for research. Systems control design relies on mathematical models and these may be developed from measurement data. This process of system identification, when based on GP models, can play an integral part of control design in data-based control and its description as such is an essential aspect of the text. The background of GP regression is introduced first with system identification and incorporation of prior knowledge then leading into full-blown control. The book is illustrated by extensive use of examples, line drawings, and graphical presentation of computer-simulation results and plant measurements. The research results presented are applied in real-life case studies drawn from successful applications including: a gas–liquid separator control; urban-traffic signal modelling and reconstruction; and prediction of atmospheric ozone concentration. A MATLAB® toolbox, for identification and simulation of dynamic GP models is provided for download.
Author | : Steve Smale |
Publisher | : Springer Science & Business Media |
Total Pages | : 154 |
Release | : 2012-12-06 |
Genre | : Mathematics |
ISBN | : 1461381010 |
Download The Mathematics of Time Book in PDF, ePub and Kindle
Author | : Piotr Kulczycki |
Publisher | : Springer Nature |
Total Pages | : 398 |
Release | : 2022-01-04 |
Genre | : Technology & Engineering |
ISBN | : 3030899721 |
Download Fractional Dynamical Systems: Methods, Algorithms and Applications Book in PDF, ePub and Kindle
This book presents a wide and comprehensive spectrum of issues and problems related to fractional-order dynamical systems. It is meant to be a full-fledge, comprehensive presentation of many aspects related to the broadly perceived fractional-order dynamical systems which constitute an extension of the traditional integer-order-type descriptions. This implies far-reaching consequences, both analytic and algorithmic, because—in general—properties of the traditional integer-order systems cannot be directly extended by a straightforward generalization to fractional-order systems, modeled by fractional-order differential equations involving derivatives of an non-integer order. This can be useful for describing and analyzing, for instance, anomalies in the behavior of various systems, chaotic behavior, etc. The book contains both analytic contributions with state-of-the-art and theoretical foundations, algorithmic implementation of tools and techniques, and—finally—some examples of relevant and successful practical applications.
Author | : N.H. McClamroch |
Publisher | : Springer Science & Business Media |
Total Pages | : 257 |
Release | : 2012-12-06 |
Genre | : Technology & Engineering |
ISBN | : 1461260876 |
Download State Models of Dynamic Systems Book in PDF, ePub and Kindle
The purpose of this book is to expose undergraduate students to the use of applied mathematics and physical argument as a basis for developing an understanding of the response characteristics, from a systems viewpoint, of a broad class of dynamic physical processes. This book was developed for use in the course ECE 355, Dynamic Systems and Modeling, in the Department of Electrical and Computer Engineering at the University of Michigan, Ann Arbor. The course ECE 355 has been elected primarily by junior and senior level students in computer engineering or in electrical engineering. Occasionally a student from outside these two programs elected the course. Thus the book is written with this class of students in mind. It is assumed that the reader has previous background in mathematics through calculus, differential equations, and Laplace transforms, in elementary physics, and in elemen tary mechanics and circuits. Although these prerequisites indicate the orientation of the material, the book should be accessible and of interest to students with a much wider spectrum of experience in applied mathemati cal topics. The subject matter of the book can be considered to form an introduc tion to the theory of mathematical systems presented from a modern, as opposed to a classical, point of view. A number of physical processes are examined where the underlying systems concepts can be clearly seen and grasped. The organization of the book around case study examples has evolved as a consequence of student suggestions.
Author | : Steven L. Brunton |
Publisher | : Cambridge University Press |
Total Pages | : 615 |
Release | : 2022-05-05 |
Genre | : Computers |
ISBN | : 1009098489 |
Download Data-Driven Science and Engineering Book in PDF, ePub and Kindle
A textbook covering data-science and machine learning methods for modelling and control in engineering and science, with Python and MATLAB®.
Author | : Ludwig Arnold |
Publisher | : Springer Science & Business Media |
Total Pages | : 590 |
Release | : 2013-04-17 |
Genre | : Mathematics |
ISBN | : 3662128780 |
Download Random Dynamical Systems Book in PDF, ePub and Kindle
The first systematic presentation of the theory of dynamical systems under the influence of randomness, this book includes products of random mappings as well as random and stochastic differential equations. The basic multiplicative ergodic theorem is presented, providing a random substitute for linear algebra. On its basis, many applications are detailed. Numerous instructive examples are treated analytically or numerically.