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, USA Background and Motivation The basic notion of artificial neural networks (ANNs), as we understand them today, was perhaps first formalized by McCulloch and Pitts (1943) in their model of an artificial neuron.
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Distributed model predictive control (MPC) is one of the promising control methodologies for control of such systems.This book provides a state-of-the-art... Læs mere
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This authoritative book presents a comprehensive account of the essential roles of nonlinear dynamic and chaos theories in understanding,... Læs mere
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The book is the first book on complex matrix equations including the conjugate of unknown matrices. It observes that there are some significant differences between the real/complex matrix equations and the complex conjugate matrix equations.
Bemærk: Kan ikke leveres før jul.
From the reviews: "The style of the book reflects the author's wish to assist in the effective learning of optimal control by suitable choice of topics, the mathematical level used, and by including numerous illustrated examples.
Bemærk: Kan ikke leveres før jul.
This wide-ranging and accessible book serves as a fascinating guide to the strategies and concepts that help us understand the boundaries between physics, on the one hand, and sociology, economics, and biology on the other.
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Tools and methods from complex systems science can have a considerable impact on the way in which the quantitative assessment of economic and financial issues is approached, as discussed in this thesis.
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This volume collects the edited and reviewed contributions presented in the 5th iTi Conference in Bertinoro covering fundamental aspects in turbulent flows.
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This class of systems includes various interconnections of linear dynamic blocks and static nonlinear elements, e.g., Hammerstein system, Wiener system, Wiener-Hammerstein ("sandwich") system and additive NARMAX systems with feedback.
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This book addresses the realization problem of positive and fractional continuous-time and discrete-time linear systems. The realization... Læs mere
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This volume presents selected aspects of non-integer, or fractional order systems, whose analysis, synthesis and applications have increasingly become a real challenge for various research communities, ranging from science to engineering.