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Titlebook: Control and Optimal Design of Distributed Parameter Systems; John E. Lagnese,David L. Russell,Luther W. White Conference proceedings 1995

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书目名称Control and Optimal Design of Distributed Parameter Systems
编辑John E. Lagnese,David L. Russell,Luther W. White
视频videohttp://file.papertrans.cn/238/237335/237335.mp4
丛书名称The IMA Volumes in Mathematics and its Applications
图书封面Titlebook: Control and Optimal Design of Distributed Parameter Systems; John E. Lagnese,David L. Russell,Luther W. White Conference proceedings 1995
描述The articles in this volume focus on control theory of systems governed by nonlinear linear partial differential equations, identification and optimal design of such systems, and modelling of advanced materials. Optimal design of systems governed by PDEs is a relatively new area of study, now particularly relevant because of interest in optimization of fluid flow in domains of variable configuration, advanced and composite materials studies and "smart" materials which include possibilities for built in sensing and control actuation. The book will be of interest to both applied mathematicians and to engineers.
出版日期Conference proceedings 1995
关键词Volume; configuration; design; differential equation; equation; identification; inverse scattering problem
版次1
doihttps://doi.org/10.1007/978-1-4613-8460-1
isbn_softcover978-1-4613-8462-5
isbn_ebook978-1-4613-8460-1Series ISSN 0940-6573 Series E-ISSN 2198-3224
issn_series 0940-6573
copyrightSpringer-Verlag New York, Inc. 1995
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Control and Optimal Design of Distributed Parameter Systems
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https://doi.org/10.1007/978-3-658-24572-6been developed. However, such an approach often does not produce good results. In our method, the Born approximation is just the first iteration and further iterations improve the identification by an order of magnitude..The iterative sequence is defined in the framework of a Quasi-Newton method. Us
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A Shape Optimization Problem in Inverse Acoustics, the shape of a sound soft obstacle, which is axially symmetric, star shaped with respect to the origin and smooth. The unknowns are the parameters, by which shape is represented as the linear combination of e.g., trigonometric functions. Some methods of solution proposed in the past consist in tran
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Oriented Distance Functions in Shape Analysis and Optimization,etrized functions in an appropriate function space. Secondly we study the role of the family of . (also known as . or .) in the analysis of shape optimization problems. They play an important role in the introduction of topologies which retain the classical geometric properties associated with sets:
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Multidimensional Inverse Scattering Problems in Deterministic and Random Media,ne waves of a fixed frequency. Let measurements of the wave scattering field induced by this medium be available in the region outside of this domain. We study how to extract the properties of the medium from the information contained in the measurements. We are concerned with the weak scattering ca
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