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Titlebook: Identification of Dynamic Systems; An Introduction with Rolf Isermann,Marco Münchhof Textbook 20111st edition Springer-Verlag Berlin Heidel

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書目名稱Identification of Dynamic Systems
副標題An Introduction with
編輯Rolf Isermann,Marco Münchhof
視頻videohttp://file.papertrans.cn/461/460834/460834.mp4
概述The book presents different system identification methods, compares the different methods and discusses their application issues..Real experimental data can be downloaded, allowing to test the methods
圖書封面Titlebook: Identification of Dynamic Systems; An Introduction with Rolf Isermann,Marco Münchhof Textbook 20111st edition Springer-Verlag Berlin Heidel
描述Precise dynamic models of processes are required for many applications, ranging from control engineering to the natural sciences and economics. Frequently, such precise models cannot be derived using theoretical considerations alone. Therefore, they must be determined experimentally. This book treats the determination of dynamic models based on measurements taken at the process, which is known as system identification or process identification. Both offline and online methods are presented, i.e. methods that post-process the measured data as well as methods that provide models during the measurement. The book is theory-oriented and application-oriented and most methods covered have been used successfully in practical applications for many different processes. Illustrative examples in this book with real measured data range from hydraulic and electric actuators up to combustion engines. Real experimental data is also provided on the Springer webpage, allowing readers to gather their first experience with the methods presented in this book. Among others, the book covers the following subjects: determination of the non-parametric frequency response, (fast) Fourier transform, correlati
出版日期Textbook 20111st edition
關(guān)鍵詞Frequency Response; Linear Systems; Nonlinear Systems; Parameter Estimation; System Identification; compl
版次1
doihttps://doi.org/10.1007/978-3-540-78879-9
isbn_softcover978-3-642-42267-6
isbn_ebook978-3-540-78879-9
copyrightSpringer-Verlag Berlin Heidelberg 2011
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Spectral Analysis Methods for Periodic and Non-Periodic Signalsre discussed in later sections of this chapter. As the data sequences can be quite long, one is also especially interested in computationally efficient implementations of the Fourier transform on digital computers.
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Parameter Estimation for Time-Variant Processesinear difference equations that contain time-varying parameters. The method of recursive least squares (see Chap. 9) can also be used to identify time-varying parameters. Different methods are introduced in the following that allow to track the changes of time varying parameters with the method of least squares.
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Textbook 20111st editionntly, such precise models cannot be derived using theoretical considerations alone. Therefore, they must be determined experimentally. This book treats the determination of dynamic models based on measurements taken at the process, which is known as system identification or process identification. B
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imental data can be downloaded, allowing to test the methodsPrecise dynamic models of processes are required for many applications, ranging from control engineering to the natural sciences and economics. Frequently, such precise models cannot be derived using theoretical considerations alone. Theref
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Correlation Analysis with Discrete Time Modelsnd discrete-time signals is rather small as it only affects the calculation of the correlation functions, where basically the continuous-time integration must be replaced by the summation of discrete values. In Sect. 7.1, the estimation of the correlation function is treated again.
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