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Chaos and Dynamical Systems presents an accessible, clear introduction to dynamical systems and chaos theory, an important and exciting area that has shaped many scientific fields. While the rules governing dynamical systems are well-specified and simple, the behavior of many dynamical systems is remarkably complex. Of particular note, simple deterministic dynamical systems produce output that appears random and for which long-term prediction is impossible. Using little math beyond basic algebra, David Feldman gives readers a grounded, concrete, and concise overview. In initial chapters, Feldman introduces iterated functions and differential equations. He then surveys the key concepts and results to emerge from dynamical systems: chaos and the butterfly effect, deterministic randomness, bifurcations, universality, phase space, and strange attractors. Throughout, Feldman examines possible scientific implications of these phenomena for the study of complex systems, highlighting the relationships between simplicity and complexity, order and disorder. Filling the gap between popular accounts of dynamical systems and chaos and textbooks aimed at physicists and mathematicians, Chaos and Dynamical Systems will be highly useful not only to students at the undergraduate and advanced levels, but also to researchers in the natural, social, and biological sciences.
Chaotic behavior in systems. --- Chaos in systems --- Chaos theory --- Chaotic motion in systems --- Differentiable dynamical systems --- Dynamics --- Nonlinear theories --- System theory
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Recent Advances in Chaotic Systems and Synchronization: From Theory to Real World Applications is a major reference for scientists and engineers interested in applying new computational and mathematical tools for solving complex problems related to modeling, analyzing and synchronizing chaotic systems. Furthermore, it offers an array of new, real-world applications in the field. Written by eminent scientists in the field of control theory and nonlinear systems from 19 countries (Cameroon, China, Ethiopia, France, Greece, India, Italia, Iran, Japan, Mexico, and more), this book covers the latest advances in chaos theory, along with the efficiency of novel synchronization approaches. Readers will find the fundamentals and algorithms related to the analysis and synchronization of chaotic systems, along with key applications, including electronic design, text and image encryption, and robot control and tracking.
Chaotic behavior in systems. --- Chaotic synchronization. --- Chaotic behavior in systems --- Synchronization --- Chaos in systems --- Chaos theory --- Chaotic motion in systems --- Differentiable dynamical systems --- Dynamics --- Nonlinear theories --- System theory
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This book presents a new approach for the analysis of chaotic behavior in non-linear dynamical systems, in which output can be represented in quaternion parametrization. It offers a new family of methods for the analysis of chaos in the quaternion domain along with extensive numerical experiments performed on human motion data and artificial data. All methods and algorithms are designed to allow detection of deterministic chaos behavior in quaternion data representing the rotation of a body in 3D space. This book is an excellent reference for engineers, researchers, and postgraduate students conducting research on human gait analysis, healthcare informatics, dynamical systems with deterministic chaos or time series analysis.
Mathematical analysis. --- Chaotic behavior in systems. --- Engineering. --- Complexity. --- Applications of Nonlinear Dynamics and Chaos Theory. --- Construction --- Industrial arts --- Technology --- Chaos in systems --- Chaos theory --- Chaotic motion in systems --- Differentiable dynamical systems --- Dynamics --- Nonlinear theories --- System theory --- 517.1 Mathematical analysis --- Mathematical analysis --- Computational complexity. --- Statistical physics. --- Physics --- Mathematical statistics --- Complexity, Computational --- Electronic data processing --- Machine theory --- Statistical methods
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This book is primarily concerned with the computational aspects of predictability of dynamical systems - in particular those where observations, modeling and computation are strongly interdependent. Unlike with physical systems under control in laboratories, in astronomy it is uncommon to have the possibility of altering the key parameters of the studied objects. Therefore, the numerical simulations offer an essential tool for analysing these systems, and their reliability is of ever-increasing interest and importance. In this interdisciplinary scenario, the underlying physics provide the simulated models, nonlinear dynamics provides their chaoticity and instability properties, and the computer sciences provide the actual numerical implementation. This book introduces and explores precisely this link between the models and their predictability characterization based on concepts derived from the field of nonlinear dynamics, with a focus on the strong sensitivity to initial conditions and the use of Lyapunov exponents to characterize this sensitivity. This method is illustrated using several well-known continuous dynamical systems, such as the Contopoulos, Hénon-Heiles and Rössler systems. This second edition revises and significantly enlarges the material of the first edition by providing new entry points for discussing new predictability issues on a variety of areas such as machine decision-making, partial differential equations or the analysis of attractors and basins. Finally, the parts of the book devoted to the application of these ideas to astronomy have been greatly enlarged, by first presenting some basics aspects of predictability in astronomy and then by expanding these ideas to a detailed analysis of a galactic potential.
Chaotic behavior in systems --- Mathematical models. --- Chaos in systems --- Chaos theory --- Chaotic motion in systems --- Differentiable dynamical systems --- Dynamics --- Nonlinear theories --- System theory --- Statistical physics. --- Physics. --- Space sciences. --- Mathematical physics. --- Applications of Nonlinear Dynamics and Chaos Theory. --- Numerical and Computational Physics, Simulation. --- Space Sciences (including Extraterrestrial Physics, Space Exploration and Astronautics). --- Mathematical Applications in the Physical Sciences. --- Physical mathematics --- Physics --- Science and space --- Space research --- Cosmology --- Science --- Astronomy --- Natural philosophy --- Philosophy, Natural --- Physical sciences --- Mathematical statistics --- Mathematics --- Statistical methods
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Mathematical statistics --- Classical mechanics. Field theory --- Statistical physics --- General biophysics --- Applied physical engineering --- biofysica --- chaos --- toegepaste wiskunde --- theoretische fysica --- statistiek --- ingenieurswetenschappen --- fysica --- dynamica
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Mathematics --- Classical mechanics. Field theory --- Statistical physics --- Electrical engineering --- Applied physical engineering --- Engineering sciences. Technology --- chaos --- toegepaste wiskunde --- theoretische fysica --- automatisering --- economie --- systeemtheorie --- wiskunde --- systeembeheer --- ingenieurswetenschappen --- dynamica
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Discrete mathematics --- Classical mechanics. Field theory --- Statistical physics --- Applied physical engineering --- Computer science --- chaos --- toegepaste wiskunde --- grafentheorie --- theoretische fysica --- informatica --- ingenieurswetenschappen --- dynamica
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Partial differential equations --- Differential equations --- Mathematics --- Classical mechanics. Field theory --- Statistical physics --- Applied physical engineering --- Computer science --- differentiaalvergelijkingen --- chaos --- toegepaste wiskunde --- theoretische fysica --- economie --- informatica --- wiskunde --- ingenieurswetenschappen --- dynamica
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Partial differential equations --- Differential equations --- Classical mechanics. Field theory --- Statistical physics --- Applied physical engineering --- Planning (firm) --- differentiaalvergelijkingen --- chaos --- toegepaste wiskunde --- theoretische fysica --- mathematische modellen --- ingenieurswetenschappen --- dynamica
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