Approximation of Large-Scale Dynamical Systems

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SIAM, 25.06.2009 - 510 Seiten
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Mathematical models are used to simulate, and sometimes control, the behavior of physical and artificial processes such as the weather and very large-scale integration (VLSI) circuits. The increasing need for accuracy has led to the development of highly complex models. However, in the presence of limited computational accuracy and storage capabilities model reduction (system approximation) is often necessary. Approximation of Large-Scale Dynamical Systems provides a comprehensive picture of model reduction, combining system theory with numerical linear algebra and computational considerations. It addresses the issue of model reduction and the resulting trade-offs between accuracy and complexity. Special attention is given to numerical aspects, simulation questions, and practical applications.
 

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Inhalt

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Urheberrecht

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Über den Autor (2009)

Thanos Antoulas was born in Athens, Greece. He studied at the ETH Zürich, where he obtained the Diploma of Electrical Engineering in 1975, the Diploma of Mathematics in 1975, and the Ph.D. degree in Mathematics in 1980. Since 1982 he has been with the Department of Electrical and Computer Engineering, Rice University, where he is currently a Professor. Professor Antoulas was elected Fellow of the IEEE (Institute of Electrical and Electronics Engineers) in 1991 and was awarded the Best Paper Prize of the AIAA (American Institute of Aeronautics and Astronautics) Guidance, Navigation and Control Section in 1992. In 1995 he was awarded a JSPS (Japan Society for the Promotion of Science) Fellowship. He has served on the editorial board of many journals including the IEEE Transactions on Automatic Control, SIAM Journal on Control and Optimization, and Linear Algebra and its Applications. For the past 12 years he has been serving as editor-in-chief of Systems and Control Letters.

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