Modelling and Parameter Estimation of Dynamic Systems

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Release : 2004-08-13
Genre : Mathematics
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Book Rating : 633/5 ( reviews)

Modelling and Parameter Estimation of Dynamic Systems - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Modelling and Parameter Estimation of Dynamic Systems write by J.R. Raol. This book was released on 2004-08-13. Modelling and Parameter Estimation of Dynamic Systems available in PDF, EPUB and Kindle. This book presents a detailed examination of the estimation techniques and modeling problems. The theory is furnished with several illustrations and computer programs to promote better understanding of system modeling and parameter estimation.

Identification of Dynamic Systems

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Release : 2010-11-22
Genre : Technology & Engineering
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Book Rating : 794/5 ( reviews)

Identification of Dynamic Systems - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Identification of Dynamic Systems write by Rolf Isermann. This book was released on 2010-11-22. Identification of Dynamic Systems available in PDF, EPUB and Kindle. 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, correlation analysis, parameter estimation with a focus on the method of Least Squares and modifications, identification of time-variant processes, identification in closed-loop, identification of continuous time processes, and subspace methods. Some methods for nonlinear system identification are also considered, such as the Extended Kalman filter and neural networks. The different methods are compared by using a real three-mass oscillator process, a model of a drive train. For many identification methods, hints for the practical implementation and application are provided. The book is intended to meet the needs of students and practicing engineers working in research and development, design and manufacturing.

Dynamic Systems Models

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Release : 2016-03-22
Genre : Science
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Book Rating : 367/5 ( reviews)

Dynamic Systems Models - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Dynamic Systems Models write by Josif A. Boguslavskiy. This book was released on 2016-03-22. Dynamic Systems Models available in PDF, EPUB and Kindle. This monograph is an exposition of a novel method for solving inverse problems, a method of parameter estimation for time series data collected from simulations of real experiments. These time series might be generated by measuring the dynamics of aircraft in flight, by the function of a hidden Markov model used in bioinformatics or speech recognition or when analyzing the dynamics of asset pricing provided by the nonlinear models of financial mathematics. Dynamic Systems Models demonstrates the use of algorithms based on polynomial approximation which have weaker requirements than already-popular iterative methods. Specifically, they do not require a first approximation of a root vector and they allow non-differentiable elements in the vector functions being approximated. The text covers all the points necessary for the understanding and use of polynomial approximation from the mathematical fundamentals, through algorithm development to the application of the method in, for instance, aeroplane flight dynamics or biological sequence analysis. The technical material is illustrated by the use of worked examples and methods for training the algorithms are included. Dynamic Systems Models provides researchers in aerospatial engineering, bioinformatics and financial mathematics (as well as computer scientists interested in any of these fields) with a reliable and effective numerical method for nonlinear estimation and solving boundary problems when carrying out control design. It will also be of interest to academic researchers studying inverse problems and their solution.

PARAMETER ESTIMATION IN DYNAMIC SYSTEMS.

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Release : 1987
Genre :
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Book Rating : /5 ( reviews)

PARAMETER ESTIMATION IN DYNAMIC SYSTEMS. - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook PARAMETER ESTIMATION IN DYNAMIC SYSTEMS. write by David Burke Bartus. This book was released on 1987. PARAMETER ESTIMATION IN DYNAMIC SYSTEMS. available in PDF, EPUB and Kindle. solution of model equations.

Modelling and Identification of Dynamic Systems

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Release : 1983-06-01
Genre : Computers
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Book Rating : 625/5 ( reviews)

Modelling and Identification of Dynamic Systems - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Modelling and Identification of Dynamic Systems write by N.K. Sinha. This book was released on 1983-06-01. Modelling and Identification of Dynamic Systems available in PDF, EPUB and Kindle.