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Taschenbuch. Zustand: Neu. Neuware - Systems identification is a general term used to describe mathematical tools and algorithms that build dynamical models from measured data. Mastering System Identification in 100 Exercises takes readers step by step through a series of MATLAB exercises that teach how to measure and model linear dynamic systems in the presence of nonlinear distortions from a practical point of view. Each exercise is followed by a short discussion illustrating what lessons can be learned by the reader.The book, with its learn-by-doing approach, also includes:State-of-the-art system identification methods, with both time and frequency domain system identification methods--including the pros and cons of eachSimple writing style with numerous examples and figuresDownloadable author-programmed MATLAB files for each exercise--with detailed solutionsLarger projects that serve as potential assignmentsCovering both classic and recent measurement and identifying methods, this book will appeal to practicing engineers, scientists, and researchers, as well as master's and PhD students in electrical, mechanical, civil, and chemical engineering.
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Original-Pappband. Zustand: Sehr gut. gr8 Original-Pappband 1st ed. en Mathematik, Naturwissenschaften XXI pp., 332 pp.
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In den WarenkorbZustand: New. pp. 788.
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In den WarenkorbHardcover. Zustand: Brand New. 2nd edition. 704 pages. 10.25x7.25x1.75 inches. In Stock.
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In den WarenkorbZustand: New. System identification is a general term used to describe mathematical tools and algorithms that build dynamical models from measured data. Used for prediction, control, physical interpretation, and the designing of any electrical systems, they are vital in the fields of electrical, mechanical, civil, and chemical engineering. Num Pages: 788 pages, Illustrations. BIC Classification: GPFC; THR. Category: (P) Professional & Vocational. Dimension: 188 x 266 x 48. Weight in Grams: 1586. . 2012. 2nd Edition. Hardcover. . . . . Books ship from the US and Ireland.
Buch. Zustand: Neu. Neuware - System identification is a general term used to describe mathematical tools and algorithms that build dynamical models from measured data. Used for prediction, control, physical interpretation, and the designing of any electrical systems, they are vital in the fields of electrical, mechanical, civil, and chemical engineering.Focusing mainly on frequency domain techniques, System Identification: A Frequency Domain Approach, Second Edition also studies in detail the similarities and differences with the classical time domain approach. It high lights many of the important steps in the identification process, points out the possible pitfalls to the reader, and illustrates the powerful tools that are available.Readers of this Second Editon will benefit from:MATLAB software support for identifying multivariable systems that is freely available at the websiteState-of-the-art system identification methods for both time and frequency domain dataNew chapters on non-parametric and parametric transfer function modeling using (non-)period excitationsNumerous examples and figures that facilitate the learning processA simple writing style that allows the reader to learn more about the theo retical aspects of the proofs and algorithmsUnlike other books in this field, System Identification, Second Edition is ideal for practicing engineers, scientists, researchers, and both master s and PhD students in electrical, mechanical, civil, and chemical engineering.