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Robust Control of Uncertain Dynamic Systems Read More >>
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This book integrates history of science and technology with modern social network theory. Using modern measures... Read More >>
The study of nonlinear localized excitations is a long-standing challenge for research in basic and applied science,... Read More >>
Heinz von Foerster was the inventor of second-order cybernetics, which recognizes the investigator as part of the... Read More >>
Proceedings of the Ninth European Meeting on Cybernetics and Systems Research, organised by the Austrian Society... Read More >>
This volume comprises a collection of contributions by leading experts in system identification, time-series analysis,... Read More >>
The problem of viability of hybrid systems is considered in this work. The three-tank example is examined for both... Read More >>
More than just an easy-to-use blogging platform, WordPress is in fact a flexible, open source content management... Read More >>
This book shows how to apply theoretical mathematical models to unravel the mechanisms involved in processes found... Read More >>
This book describes plasma thermodynamics of one-temperature and multi-temperature ideal and non-ideal equilibrium... Read More >>
This wide-ranging and accessible book serves as a fascinating guide to the strategies and concepts that help us... Read More >>
This book aims to foster a deeper understanding of urbanism, invoking the contributions both the hard and soft sciences... Read More >>
Dynamic logic (DL) recently had a highest impact on the development in several areas of modeling and algorithm design.... Read More >>
Wherever quantitative modeling and analysis of complex, nonlinear phenomena is required, chaos theory and its methods... Read More >>
The theory of linear functional observers, which is the subject of this book, is increasingly becoming a popular... Read More >>
This volume covers theoretical, numerical and applied aspects of stochastic processes and stochastic differential... Read More >>
This book is concerned with numerical methods for stochastic control and optimal stochastic control problems. In... Read More >>
When analyzing systems with a large number of parameters, the dimen sion of the original system may present insurmountable... Read More >>
An important tool in these studies has been the theory of normally hyperbolic invariant manifolds and foliations... Read More >>
Distributed model predictive control (MPC) is one of the promising control methodologies for control of such systems.This... Read More >>