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Identification Of State Space Models Using Least Squares Or Instrumental Variables
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Book Synopsis Identification of State Space Models Using Least Squares Or Instrumental Variables by : K. F. Zimmermann
Download or read book Identification of State Space Models Using Least Squares Or Instrumental Variables written by K. F. Zimmermann and published by . This book was released on 1996 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis State Space Analysis by : LaMar K. Timothy
Download or read book State Space Analysis written by LaMar K. Timothy and published by . This book was released on 1968 with total page 424 pages. Available in PDF, EPUB and Kindle. Book excerpt: Problems after each chapter
Book Synopsis Integrated System Identification and Adaptive State Estimation for Control of Flexible Space Structures by : Chung-Wen Chen
Download or read book Integrated System Identification and Adaptive State Estimation for Control of Flexible Space Structures written by Chung-Wen Chen and published by . This book was released on 1991 with total page 372 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis State-Space System Realization with Input- and Output-Data Correlation by : Jer-Nan Juang
Download or read book State-Space System Realization with Input- and Output-Data Correlation written by Jer-Nan Juang and published by . This book was released on 1997 with total page 48 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Least Squares Estimation for State Space Models by : Vishak Subramoney
Download or read book Least Squares Estimation for State Space Models written by Vishak Subramoney and published by . This book was released on 2006 with total page 116 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Partial Moments in System Identification by : Régis Ouvrard
Download or read book Partial Moments in System Identification written by Régis Ouvrard and published by Springer Nature. This book was released on with total page 179 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Linear Parameter-varying System Identification by : Paulo Lopes dos Santos
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--
Book Synopsis Fixed Interval Smoothing for State Space Models by : Howard L. Weinert
Download or read book Fixed Interval Smoothing for State Space Models written by Howard L. Weinert and published by Springer. This book was released on 2001-02-28 with total page 144 pages. Available in PDF, EPUB and Kindle. Book excerpt: Fixed-interval smoothing is a method of extracting useful information from inaccurate data. It has been applied to problems in engineering, the physical sciences, and the social sciences, in areas such as control, communications, signal processing, acoustics, geophysics, oceanography, statistics, econometrics, and structural analysis. This monograph addresses problems for which a linear stochastic state space model is available, in which case the objective is to compute the linear least-squares estimate of the state vector in a fixed interval, using observations previously collected in that interval. The author uses a geometric approach based on the method of complementary models. Using the simplest possible notation, he presents straightforward derivations of the four types of fixed-interval smoothing algorithms, and compares the algorithms in terms of efficiency and applicability. Results show that the best algorithm has received the least attention in the literature. Fixed Interval Smoothing for State Space Models: includes new material on interpolation, fast square root implementations, and boundary value models; is the first book devoted to smoothing; contains an annotated bibliography of smoothing literature; uses simple notation and clear derivations; compares algorithms from a computational perspective; identifies a best algorithm. Fixed Interval Smoothing for State Space Models will be the primary source for those wanting to understand and apply fixed-interval smoothing: academics, researchers, and graduate students in control, communications, signal processing, statistics and econometrics.
Book Synopsis Improving the Computation of Simultaneous Stochastic Linear Equations Estimates by : William Lewis Ruble
Download or read book Improving the Computation of Simultaneous Stochastic Linear Equations Estimates written by William Lewis Ruble and published by . This book was released on 1968 with total page 954 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Global Total Least Squares by : Berend Roorda
Download or read book Global Total Least Squares written by Berend Roorda and published by . This book was released on 1995 with total page 206 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Multi-variable State Space Equation Sensitivity with Application to Identification by : David Harvey Saltzman
Download or read book Multi-variable State Space Equation Sensitivity with Application to Identification written by David Harvey Saltzman and published by . This book was released on 1971 with total page 486 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author :Brad A. Pridham Publisher :Library and Archives Canada = Bibliothèque et Archives Canada ISBN 13 :9780494042724 Total Pages :310 pages Book Rating :4.0/5 (427 download)
Book Synopsis State Space Modeling and Identification of Stochastic Linear Structural Systems [microform] by : Brad A. Pridham
Download or read book State Space Modeling and Identification of Stochastic Linear Structural Systems [microform] written by Brad A. Pridham and published by Library and Archives Canada = Bibliothèque et Archives Canada. This book was released on 2004 with total page 310 pages. Available in PDF, EPUB and Kindle. Book excerpt: This thesis presents techniques for the modeling and identification of linear state space models of structural response to stochastic dynamic input. Two approaches to stochastic system identification are investigated and further developed within the state space modeling framework. These methods require only measurements of the response of the system for estimation of modal parameters.
Book Synopsis Total Least Squares Techniques and Reduced-order Modeling with Application to Radar Target Identification by : Raymond Edward Slyh
Download or read book Total Least Squares Techniques and Reduced-order Modeling with Application to Radar Target Identification written by Raymond Edward Slyh and published by . This book was released on 1989 with total page 248 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis State Space Systems With Time-Delays Analysis, Identification, and Applications by : Ya Gu
Download or read book State Space Systems With Time-Delays Analysis, Identification, and Applications written by Ya Gu and published by Elsevier. This book was released on 2023-01-15 with total page 280 pages. Available in PDF, EPUB and Kindle. Book excerpt: State Space Systems with Time-Delays Analysis, Identification and Applications covers the modeling, identification and control of industrial applications, including system identification, parameter estimation, dynamic simulation, nonlinear control, and other emerging techniques. The book introduces basic time-delay systems, architectures and control methods. Emphasis is placed on the mathematical analysis of these systems, identifying them, and applying them to practical engineering problems such as three independent water tank systems and distillation systems. This book contains a wide range of time-delay system identification methods that can help readers master the system controllers' design methods. Presents the basic concepts of time delay systems stability analysis and classical time delay system identification methods Discusses the stability analysis of complex time delay systems Presents the identification of uncertain and unknown time delay systems Provides examples of industrial application
Book Synopsis Data-driven Learning-based Identification and Control of Linear Parameter-varying Systems by : Syed Zeeshan Rizvi
Download or read book Data-driven Learning-based Identification and Control of Linear Parameter-varying Systems written by Syed Zeeshan Rizvi and published by . This book was released on 2016 with total page 238 pages. Available in PDF, EPUB and Kindle. Book excerpt: This dissertation proposes algorithms for data-driven nonparametric identification, model reduction, and control synthesis of linear parameter-varying (LPV) models in the state-space form. We make use of kernelized machine learning (ML) and multivariate analysis (MVA) tools to develop model reduction techniques that reduce the scheduling dependency in LPV state-space (LPV-SS) models, thereby reducing exponentially, the computation complexity of LPV controller synthesis. Further, we formulate a regularized least squares support vector machine (LS-SVM)-based algorithm to identify LPV-SS models using inputs, outputs, states, and scheduling variables measurements. The technique is further extended to an instrumental variable support vector machine (IV-SVM) approach that is able to identify LPV-SS models under generic noise conditions, including cases where noise not only is colored, but is also correlated with the scheduling variables. The proposed technique seeks to obtain an unbiased estimator of the scheduling dependency functions in the face of noise-induced bias. In case the state variables are not directly measurable, a kernelized canonical correlation analysis (CCA)-based routine is proposed to estimate the states from past and future inputs, outputs, and scheduling variables measurements. This provides a non-unique estimate of the states up to a similarity transform. Once the states are estimated, previously-proposed LS-SVM-based algorithm is used in tandem with the estimated states to identify an LPV-SS model. All techniques proposed in this work exploit the use of the so-called kernel trick, giving extra degrees of freedom to choose different kernel functions and tune their associated hyper-parameters. Different applications including a robotic manipulator and chemical process models are used to verify the different algorithms developed as part of this dissertation.
Book Synopsis Identification of Large Space Structures on Orbit by : Eugene D. Denman
Download or read book Identification of Large Space Structures on Orbit written by Eugene D. Denman and published by . This book was released on 1986 with total page 362 pages. Available in PDF, EPUB and Kindle. Book excerpt: The aspects of state of the practice modeling and identification of large space structures are discussed in this report. Methods of modeling a structures as well as identification procedures are presented along with data acquisition and processing requirements. Recommendations for developing algorithms for the task of space structure identification are given.
Book Synopsis Flexible Least Squares Estimation of State Space Models by : Andreas Kladroba
Download or read book Flexible Least Squares Estimation of State Space Models written by Andreas Kladroba and published by . This book was released on 2005 with total page 22 pages. Available in PDF, EPUB and Kindle. Book excerpt: