We are living in an ever more complex world, an epoch where human actions can accordingly acquire far-reaching potentialities. ...
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Ergodic theory is hard to study because it is based on measure theory, which is a technically difficult subject to master ...
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This volume contains 18 contributions to the Third Russian-German Advanced Research Workshop on Computational Science and ...
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This book constitutes the thoroughly refereed post-conference proceedings of the 4th International Computer Music Modeling ...
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The book is a good introduction to the field of dynamical systems with a particular emphasis on statistical properties and ...
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The book is a good introduction to the field of dynamical systems with a particular emphasis on statistical properties and ...
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The book faces the interplay among dynamical properties of semigroups, analytical properties of infinitesimal generators ...
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This book is devoted to new methods of control for complex dynamical systems and deals with nonlinear control systems having ...
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This book ushers in a new era of experimental and theoretical investigations into collective processes, structure formation, ...
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One of the most striking features of Coordination Dynamics is its interdisciplinary character. The problems we are trying ...
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This book has grown out of lectures held at a summer school on cosmology, in response to an ever increasing need for an advanced ...
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This book is, perhaps, the first attempt to present a unified exposition of the subject and methodology of cybernetical physics ...
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Gives the concept of data science, tools, and algorithms that exist for many useful applications Provides many challenges ...
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This book focuses on both the theory and practice associated with the tools and approaches for decisionmaking in the face ...
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The book presents effective model-based analysis and design methods for fault diagnosis and fault-tolerant control. Architectural ...
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This book presents the state-of-the-art in tackling differential equations using advanced methods and software tools of symbolic ...
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In the past decades, model reduction has become an ubiquitous tool in analysis and simulation of dynamical systems, control ...
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This book provides an introduction to discrete dynamical systems -- a framework of analysis commonly used in the fields of ...
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The objective of this work is to present recent advances in the theory of neural control for discrete-time nonlinear systems ...
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A typical design procedure for model predictive control or control performance monitoring consists of: identification of ...
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