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) Claudius Gros' Complex and Adaptive Dynamical Systems: A Primer is a welcome addition to the literature. A particular strength of the book is its;
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ecosystem--consists of interacting adaptive entities that produce dynamic patterns and structures. Diversity plays a different role in a complex;
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Learning Control: Applications in Robotics and Complex Dynamical Systems provides a foundational understanding of control theory while also;
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expressed in the maxim more is different , is one of the characteristic features of complex systems and, in particular, complex networks. Along;
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The question of complexity, as in what makes one language more 'complex' than another, is a long-established topic of debate amongst;
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This book leads readers from a basic foundation to an advanced level understanding of dynamical and complex systems. It is the perfect text;
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Neural Network Modeling and Identification of Dynamical Systems presents a new approach on how to obtain the adaptive neural network;
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examine the analysis of simple schemes and discover the steps involved in more complex proofs. Advanced students and researchers will find it a;
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The universe is a massive system of systems - for example, ecological systems, social systems, commodity and stock markets. These systems;
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dynamical systems is remarkably complex. Of particular note, simple deterministic dynamical systems produce output that appears random and for which;
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of complexion-linear dynamical systems. First, a new fuzzy-fractal approach to automated mathematical modeling of non-linear dynamical systems;
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and compartmental dynamical systems, which play a key role in a wide range of fields, including engineering, thermal sciences, biology;
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the simplest mathematical rule can generate a rich variety of dynamical behaviors that bear a strong analogy to biological populations.;
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developments in the mathematical theory of dynamical systems, chaos, pattern formation and complexity. An introduction to mathematical concepts and;
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developments in the mathematical theory of dynamical systems, chaos, pattern formation and complexity. An introduction to mathematical concepts and;
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them extremely rich dynamical systems showing a huge range of phenomena. Properties of complex systems that are of particular importance are;
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based on a nonlinear dynamical systems approach that can be used to model and understand complex behavior in nonlinear dynamical systems. It;
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Synchronization processes bring about dynamical order and lead to spontaneous development of structural organization in complex systems;
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in the study of stochastical dynamical systems. Unlike other books in the field it covers a broad array of stochastic and statistical methods.;
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This is a technical report that supports a companion report, Leveraging Complexity in Great-Power Competition and Warfare: Volume I, An;
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-weight recurrent neural networks. Largely devoted to the problems of adaptive regulation, tracking and identification, this book presents a;
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of bifurcation analysis in smooth and non-smooth dynamical systems. The cell mapping methods are presented for global bifurcations in stochastic and;
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This book develops a general analysis and synthesis framework for impulsive and hybrid dynamical systems. Such a framework is imperative;
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answer the question "Can concepts from complex adaptive systems and conversation analysis be used to research consumer behaviour". A research;
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This book describes recent developments in a wide range of areas, including the modeling, analysis and control of dynamical systems, and;
Vergelijkbare producten zoals Recent Advances in Modeling, Analysis and Systems Control
This book describes recent developments in a wide range of areas, including the modeling, analysis and control of dynamical systems, and;
Vergelijkbare producten zoals Recent Advances in Modeling, Analysis and Systems Control
increasingly complex nature of engineering systems requiring feedback control to obtain a desired system behavior also gives rise to dynamical systems;
Vergelijkbare producten zoals Nonlinear Dynamical Systems and Control
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