Lectures on Mathematical Theory of Extremum Problems, D. Louvish; I. V. Girsanov
Автор: Scheinker Название: Model-Free Stabilization by Extremum Seeking ISBN: 3319507893 ISBN-13(EAN): 9783319507897 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: With this brief, the authors present algorithms for model-free stabilization of unstable dynamic systems. An extremum-seeking algorithm assigns the role of a cost function to the dynamic system’s control Lyapunov function (clf) aiming at its minimization. The minimization of the clf drives the clf to zero and achieves asymptotic stabilization. This approach does not rely on, or require knowledge of, the system model. Instead, it employs periodic perturbation signals, along with the clf. The same effect is achieved as by using clf-based feedback laws that profit from modeling knowledge, but in a time-average sense. Rather than use integrals of the systems vector field, we employ Lie-bracket-based (i.e., derivative-based) averaging.The brief contains numerous examples and applications, including examples with unknown control directions and experiments with charged particle accelerators. It is intended for theoretical control engineers and mathematicians, and practitioners working in various industrial areas and in robotics.
Автор: Aubert Название: Mathematical Problems in Image Processing ISBN: 0387322000 ISBN-13(EAN): 9780387322001 Издательство: Springer Рейтинг: Цена: 18167.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The updated 2nd edition of this book presents a variety of image analysis applications, reviews their precise mathematics and shows how to discretize them. For the mathematical community, the book shows the contribution of mathematics to this domain, and highlights unsolved theoretical questions.
Автор: Olli Tammi Название: Extremum Problems for Bounded Univalent Functions II ISBN: 3540112006 ISBN-13(EAN): 9783540112006 Издательство: Springer Рейтинг: Цена: 3492.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Shu-Jun Liu; Miroslav Krstic Название: Stochastic Averaging and Stochastic Extremum Seeking ISBN: 1447161858 ISBN-13(EAN): 9781447161851 Издательство: Springer Рейтинг: Цена: 15672.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book develops stochastic averaging theorems and stochastic extremum-seeking algrithms, illustrating their use in a variety of models. Includes simulation examples based in bacterial locomotion, multi-agent robotic systems, and economic market models.
Автор: Michael Sh. Birman; Stefan Hildebrandt; Vsevolod A Название: Nonlinear Problems in Mathematical Physics and Related Topics II ISBN: 1461352029 ISBN-13(EAN): 9781461352020 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Connections between the regularity problem for the Navier-Stokes equations and a backward uniqueness problem for the heat operator are also clarified.Generalizations and modified Navier-Stokes equations modeling various physical phenomena such as the mixture of fluids and isotropic turbulence are also considered.
Автор: Gilles Aubert; Pierre Kornprobst Название: Mathematical Problems in Image Processing ISBN: 1441921826 ISBN-13(EAN): 9781441921826 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The 2nd edition presents image analysis applications, outlines their precise mathematics and shows how to discretize them. It reviews progress in image processing applications covered by the PDE framework, and updates the existing material. Also provides programming tools for creating simulations.
Автор: Kirsch, Andreas Название: Introduction to the mathematical theory of inverse problems ISBN: 1461428513 ISBN-13(EAN): 9781461428510 Издательство: Springer Рейтинг: Цена: 11173.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book introduces the area of inverse problems. It examines basic notions and difficulties encountered with ill-posed problems and presents two special nonlinear inverse problems in detail: the inverse spectral problem and the inverse scattering problem.
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