Download or read book The Identification of Linear Systems with an Assessment Computer written by Maurice Ethelbert Suhre and published by . This book was released on 1962 with total page 88 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book The Identification of Linear Systems With an Assessment Computer written by and published by . This book was released on 1962 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book The Identification of Linear System with an Assessment Computer written by Maurice E Suhre (Jr) and published by . This book was released on 1962 with total page 43 pages. Available in PDF, EPUB and Kindle. Book excerpt: A method of determining the impulse response of a linear system is applied to process identification for adaptive control The method uses a special test signal and a corresponding estimating filter. The noise present at the output of the estimating filter is reduced by as assessment computer.

Download or read book A Computer Investigation of the Identification of Linear Systems from the Input output Data written by Avtar Krishan Trehan and published by . This book was released on 1967 with total page 62 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Introduction to Mathematical Systems Theory written by Christiaan Heij and published by Springer Science & Business Media. This book was released on 2006-12-18 with total page 169 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides an introduction to the theory of linear systems and control for students in business mathematics, econometrics, computer science, and engineering; the focus is on discrete time systems. The subjects treated are among the central topics of deterministic linear system theory: controllability, observability, realization theory, stability and stabilization by feedback, LQ-optimal control theory. Kalman filtering and LQC-control of stochastic systems are also discussed, as are modeling, time series analysis and model specification, along with model validation.

Download or read book Identification of Linear Systems written by J. Schoukens and published by Elsevier. This book was released on 2014-06-28 with total page 353 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book concentrates on the problem of accurate modeling of linear systems. It presents a thorough description of a method of modeling a linear dynamic invariant system by its transfer function. The first two chapters provide a general introduction and review for those readers who are unfamiliar with identification theory so that they have a sufficient background knowledge for understanding the methods described later. The main body of the book looks at the basic method used by the authors to estimate the parameter of the transfer function, how it is possible to optimize the excitation signals. Further chapters extend the estimation method proposed. Applications are then discussed and the book concludes with practical guidelines which illustrate the method and offer some rules-of-thumb.

Download or read book Linear Parameter varying System Identification written by Paulo Lopes dos Santos and published by World Scientific. This book was released on 2012 with total page 402 pages. Available in PDF, EPUB and Kindle. Book excerpt: This review volume reports the state-of-the-art in Linear Parameter Varying (LPV) system identification. It focuses on the most recent LPV identification methods for both discrete-time and continuous-time models--

Download or read book U S Government Research Reports written by and published by . This book was released on 1962-07 with total page 418 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Identification of Linear Systems in Noisy Data written by Sekhar Chandra Tatikonda and published by . This book was released on 1993 with total page 82 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Computers and Data Processing Systems written by and published by . This book was released on 1962 with total page 488 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Subspace Identification for Linear Systems written by Peter van Overschee and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 263 pages. Available in PDF, EPUB and Kindle. Book excerpt: Subspace Identification for Linear Systems focuses on the theory, implementation and applications of subspace identification algorithms for linear time-invariant finite- dimensional dynamical systems. These algorithms allow for a fast, straightforward and accurate determination of linear multivariable models from measured input-output data. The theory of subspace identification algorithms is presented in detail. Several chapters are devoted to deterministic, stochastic and combined deterministic-stochastic subspace identification algorithms. For each case, the geometric properties are stated in a main 'subspace' Theorem. Relations to existing algorithms and literature are explored, as are the interconnections between different subspace algorithms. The subspace identification theory is linked to the theory of frequency weighted model reduction, which leads to new interpretations and insights. The implementation of subspace identification algorithms is discussed in terms of the robust and computationally efficient RQ and singular value decompositions, which are well-established algorithms from numerical linear algebra. The algorithms are implemented in combination with a whole set of classical identification algorithms, processing and validation tools in Xmath's ISID, a commercially available graphical user interface toolbox. The basic subspace algorithms in the book are also implemented in a set of Matlab files accompanying the book. An application of ISID to an industrial glass tube manufacturing process is presented in detail, illustrating the power and user-friendliness of the subspace identification algorithms and of their implementation in ISID. The identified model allows for an optimal control of the process, leading to a significant enhancement of the production quality. The applicability of subspace identification algorithms in industry is further illustrated with the application of the Matlab files to ten practical problems. Since all necessary data and Matlab files are included, the reader can easily step through these applications, and thus get more insight in the algorithms. Subspace Identification for Linear Systems is an important reference for all researchers in system theory, control theory, signal processing, automization, mechatronics, chemical, electrical, mechanical and aeronautical engineering.

Download or read book Sparse Solutions of Underdetermined Linear Systems and Their Applications written by Ming-Jun Lai and published by SIAM. This book was released on 2021-06-25 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook presents a special solution to underdetermined linear systems where the number of nonzero entries in the solution is very small compared to the total number of entries. This is called a sparse solution. Since underdetermined linear systems can be very different, the authors explain how to compute a sparse solution using many approaches. Sparse Solutions of Underdetermined Linear Systems and Their Applications contains 64 algorithms for finding sparse solutions of underdetermined linear systems and their applications for matrix completion, graph clustering, and phase retrieval and provides a detailed explanation of these algorithms including derivations and convergence analysis. Exercises for each chapter help readers understand the material. This textbook is appropriate for graduate students in math and applied math, computer science, statistics, data science, and engineering. Advisors and postdoctoral scholars will also find the book interesting and useful.

Download or read book Identification of Linear Systems by an Asymptotically Stable Observer written by and published by . This book was released on 1992 with total page 76 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Robust Identification of Linear Systems written by V. David Vandelinde and published by . This book was released on 1977 with total page 255 pages. Available in PDF, EPUB and Kindle. Book excerpt: The first two sections of this report survey the current techniques of identification and time series analysis for linear, time invariant, single-input, single-output systems with noisy measurements. Typically, this additive noise has been modeled either as being completely specified (e.g., a Gaussian with known parameters) or as being required to satisfy general conditions such as whiteness and non-correlation with the input. Departures from the assumed noise model sometimes cause severe deterioration in the efficiency of available identification algorithms. Since it seems reasonable to have some, if not complete, knowledge of the operating environment, it is assumed in this report that the measurement noise w sub k has a distribution F(W) = (1-e)K(w) + eC(w), where K(,) is a completely specified distribution and C(.) belongs to some broad class of distribution. In the third section, a robust scheme for estimating the system cross correlations is proposed in order to desensitize the performance of the identification algorithm to the distribution of w sub k. Extensive computer simulations show that the proposal provides a robust identification technique which has good uniform behavior over a variety of distribution for w sub k. (Author).

Download or read book NBS Special Publication written by and published by . This book was released on 1968 with total page 398 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Nonlinear System Identification written by Oliver Nelles and published by Springer Science & Business Media. This book was released on 2001 with total page 814 pages. Available in PDF, EPUB and Kindle. Book excerpt: Written from an engineering point of view, this book covers the most common and important approaches for the identification of nonlinear static and dynamic systems. The book also provides the reader with the necessary background on optimization techniques, making it fully self-contained. The new edition includes exercises.

Download or read book Technical Abstract Bulletin written by Defense Documentation Center (U.S.) and published by . This book was released on 1963 with total page 824 pages. Available in PDF, EPUB and Kindle. Book excerpt: