Read Books Online and Download eBooks, EPub, PDF, Mobi, Kindle, Text Full Free.
Optimal Input Design For Parameter Identification Of Dynamic Systems
Download Optimal Input Design For Parameter Identification Of Dynamic Systems full books in PDF, epub, and Kindle. Read online Optimal Input Design For Parameter Identification Of Dynamic Systems ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
Book Synopsis Optimal Input Design for Parameter Identification of Dynamic Systems by : Subrahmanyam Ramachandran
Download or read book Optimal Input Design for Parameter Identification of Dynamic Systems written by Subrahmanyam Ramachandran and published by . This book was released on 1976 with total page 232 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Dynamic System Identification: Experiment Design and Data Analysis by : Goodwin
Download or read book Dynamic System Identification: Experiment Design and Data Analysis written by Goodwin and published by Academic Press. This book was released on 1977-11-10 with total page 303 pages. Available in PDF, EPUB and Kindle. Book excerpt: Dynamic System Identification: Experiment Design and Data Analysis
Book Synopsis Optimal Input Signals for Parameter Estimation in Dynamic Systems-Survey and New Results by : R. K. Mehra
Download or read book Optimal Input Signals for Parameter Estimation in Dynamic Systems-Survey and New Results written by R. K. Mehra and published by . This book was released on 1974 with total page 65 pages. Available in PDF, EPUB and Kindle. Book excerpt: The paper surveys the field of optimal input design for parameter estimation as it has developed over the last two decades. Many of the developments covered are only recent and have not appeared in the open literature elsewhere. After a brief introduction, the paper discusses the historical background of the subject both in the engineering and in the statistical literature. The concepts of optimality and input design are then discussed followed by a derivation of the Fisher Information Matrix for multiinput multioutput systems with process noise. The design procedures are divided into the categories of Time-Domain methods and Frequency-Domain methods with the former being more general but also more time-consuming (computationally). (Modified author abstract).
Book Synopsis Identification of Dynamic Systems by : Rolf Isermann
Download or read book Identification of Dynamic Systems written by Rolf Isermann and published by Springer Science & Business Media. This book was released on 2010-11-22 with total page 705 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Optimal Design of Measurement Programs for the Parameter Identification of Dynamic Systems by : P. H. Kirkegaard
Download or read book Optimal Design of Measurement Programs for the Parameter Identification of Dynamic Systems written by P. H. Kirkegaard and published by . This book was released on 1991 with total page 8 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Optimal Input Signals for Parameter Estimation by : Ewaryst Rafajłowicz
Download or read book Optimal Input Signals for Parameter Estimation written by Ewaryst Rafajłowicz and published by Walter de Gruyter GmbH & Co KG. This book was released on 2022-03-07 with total page 202 pages. Available in PDF, EPUB and Kindle. Book excerpt: The aim of this book is to provide methods and algorithms for the optimization of input signals so as to estimate parameters in systems described by PDE’s as accurate as possible under given constraints. The optimality conditions have their background in the optimal experiment design theory for regression functions and in simple but useful results on the dependence of eigenvalues of partial differential operators on their parameters. Examples are provided that reveal sometimes intriguing geometry of spatiotemporal input signals and responses to them. An introduction to optimal experimental design for parameter estimation of regression functions is provided. The emphasis is on functions having a tensor product (Kronecker) structure that is compatible with eigenfunctions of many partial differential operators. New optimality conditions in the time domain and computational algorithms are derived for D-optimal input signals when parameters of ordinary differential equations are estimated. They are used as building blocks for constructing D-optimal spatio-temporal inputs for systems described by linear partial differential equations of the parabolic and hyperbolic types with constant parameters. Optimality conditions for spatially distributed signals are also obtained for equations of elliptic type in those cases where their eigenfunctions do not depend on unknown constant parameters. These conditions and the resulting algorithms are interesting in their own right and, moreover, they are second building blocks for optimality of spatio-temporal signals. A discussion of the generalizability and possible applications of the results obtained is presented.
Book Synopsis Control, Identification, and Input Optimization by : Robert Kalaba
Download or read book Control, Identification, and Input Optimization written by Robert Kalaba and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 429 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a self-contained text devoted to the numerical determination of optimal inputs for system identification. It presents the current state of optimal inputs with extensive background material on optimization and system identification. The field of optimal inputs has been an area of considerable research recently with important advances by R. Mehra, G. c. Goodwin, M. Aoki, and N. E. Nahi, to name just a few eminent in vestigators. The authors' interest in optimal inputs first developed when F. E. Yates, an eminent physiologist, expressed the need for optimal or preferred inputs to estimate physiological parameters. The text assumes no previous knowledge of optimal control theory, numerical methods for solving two-point boundary-value problems, or system identification. As such it should be of interest to students as well as researchers in control engineering, computer science, biomedical en gineering, operations research, and economics. In addition the sections on beam theory should be of special interest to mechanical and civil en gineers and the sections on eigenvalues should be of interest to numerical analysts. The authors have tried to present a balanced viewpoint; however, primary emphasis is on those methods in which they have had first-hand experience. Their work has been influenced by many authors. Special acknowledgment should go to those listed above as well as R. Bellman, A. Miele, G. A. Bekey, and A. P. Sage. The book can be used for a two-semester course in control theory, system identification, and optimal inputs.
Book Synopsis Optimal Input Design for Parameter Estimation Using Parametric Sensitivity Dynamics by : Hassan Akbari Chianeh.
Download or read book Optimal Input Design for Parameter Estimation Using Parametric Sensitivity Dynamics written by Hassan Akbari Chianeh. and published by . This book was released on 2009 with total page 68 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Optimal Design of Dynamic Experiments for Improved Parameter Identification by : Larry Edwin Murray
Download or read book Optimal Design of Dynamic Experiments for Improved Parameter Identification written by Larry Edwin Murray and published by . This book was released on 1982 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Optimal Parameter Identification for Dynamic Systems by : Xiaojing Huang
Download or read book Optimal Parameter Identification for Dynamic Systems written by Xiaojing Huang and published by . This book was released on 2008 with total page 50 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Design of Optimal Experiments for Parameter Estimation in Linear Dynamic Systems by : Tung Sang Ng
Download or read book Design of Optimal Experiments for Parameter Estimation in Linear Dynamic Systems written by Tung Sang Ng and published by . This book was released on 1976 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Modeling, Identification and Simulation of Dynamical Systems by : P. P. J. van den Bosch
Download or read book Modeling, Identification and Simulation of Dynamical Systems written by P. P. J. van den Bosch and published by CRC Press. This book was released on 2020-12-17 with total page 212 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gives an in-depth introduction to the areas of modeling, identification, simulation, and optimization. These scientific topics play an increasingly dominant part in many engineering areas such as electrotechnology, mechanical engineering, aerospace, and physics. This book represents a unique and concise treatment of the mutual interactions among these topics. Techniques for solving general nonlinear optimization problems as they arise in identification and many synthesis and design methods are detailed. The main points in deriving mathematical models via prior knowledge concerning the physics describing a system are emphasized. Several chapters discuss the identification of black-box models. Simulation is introduced as a numerical tool for calculating time responses of almost any mathematical model. The last chapter covers optimization, a generally applicable tool for formulating and solving many engineering problems.
Book Synopsis D-optimal Input Design for Parameter Estimation of Linear and Distributed Parameter Systems by : Zahid H. Qureshi
Download or read book D-optimal Input Design for Parameter Estimation of Linear and Distributed Parameter Systems written by Zahid H. Qureshi and published by . This book was released on 1982 with total page 302 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Optimal Estimation of Dynamic Systems by : John L. Crassidis
Download or read book Optimal Estimation of Dynamic Systems written by John L. Crassidis and published by CRC Press. This book was released on 2004-04-27 with total page 606 pages. Available in PDF, EPUB and Kindle. Book excerpt: Most newcomers to the field of linear stochastic estimation go through a difficult process in understanding and applying the theory.This book minimizes the process while introducing the fundamentals of optimal estimation. Optimal Estimation of Dynamic Systems explores topics that are important in the field of control where the signals receiv
Book Synopsis Change Detection and Input Design in Dynamical Systems by : Feza Kerestecioğlu
Download or read book Change Detection and Input Design in Dynamical Systems written by Feza Kerestecioğlu and published by Wiley-Blackwell. This book was released on 1993 with total page 176 pages. Available in PDF, EPUB and Kindle. Book excerpt: Concerned with the detection and diagnosis of abrupt changes in dynamic systems operating in a noisy environment and the design of auxiliary inputs to enhance such procedures. The inputs are chosen to minimize the average detection time while ensuring a specified false alarm rate. Offline and online inputs are considered, and the results are applicable to many possible changes. Annotation copyright by Book News, Inc., Portland, OR
Download or read book NASA Reference Publication written by and published by . This book was released on 1977 with total page 636 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Topics in Identification and Distributed Parameter Systems by : Erhard Bühler
Download or read book Topics in Identification and Distributed Parameter Systems written by Erhard Bühler and published by Springer-Verlag. This book was released on 2013-07-02 with total page 170 pages. Available in PDF, EPUB and Kindle. Book excerpt: