Dynamic System Identification: Experiment Design and Data Analysis

Dynamic System Identification: Experiment Design and Data Analysis PDF Author: Goodwin
Publisher: Academic Press
ISBN: 0080956459
Category : Computers
Languages : en
Pages : 303

Get Book Here

Book Description
Dynamic System Identification: Experiment Design and Data Analysis

Dynamic System Identification: Experiment Design and Data Analysis

Dynamic System Identification: Experiment Design and Data Analysis PDF Author: Goodwin
Publisher: Academic Press
ISBN: 0080956459
Category : Computers
Languages : en
Pages : 303

Get Book Here

Book Description
Dynamic System Identification: Experiment Design and Data Analysis

Optimal Experiment Design for Dynamic System Identification

Optimal Experiment Design for Dynamic System Identification PDF Author: M B Zarrop
Publisher: Springer
ISBN: 9783662194072
Category :
Languages : en
Pages : 212

Get Book Here

Book Description


Identification of Dynamic Systems

Identification of Dynamic Systems PDF Author: Rolf Isermann
Publisher: Springer Science & Business Media
ISBN: 3540788794
Category : Technology & Engineering
Languages : en
Pages : 705

Get Book Here

Book Description
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.

Optimal Experiment Design for Dynamic System Identification

Optimal Experiment Design for Dynamic System Identification PDF Author: M.B. Zarrop
Publisher: Springer
ISBN:
Category : Technology & Engineering
Languages : en
Pages : 212

Get Book Here

Book Description


Dynamic System Identification

Dynamic System Identification PDF Author: G. C. Goodwin
Publisher:
ISBN:
Category :
Languages : en
Pages :

Get Book Here

Book Description


Nonlinear System Identification

Nonlinear System Identification PDF Author: Oliver Nelles
Publisher: Springer Nature
ISBN: 3030474399
Category : Science
Languages : en
Pages : 1235

Get Book Here

Book Description
This book provides engineers and scientists in academia and industry with a thorough understanding of the underlying principles of nonlinear system identification. It equips them to apply the models and methods discussed to real problems with confidence, while also making them aware of potential difficulties that may arise in practice. Moreover, the book is self-contained, requiring only a basic grasp of matrix algebra, signals and systems, and statistics. Accordingly, it can also serve as an introduction to linear system identification, and provides a practical overview of the major optimization methods used in engineering. The focus is on gaining an intuitive understanding of the subject and the practical application of the techniques discussed. The book is not written in a theorem/proof style; instead, the mathematics is kept to a minimum, and the ideas covered are illustrated with numerous figures, examples, and real-world applications. In the past, nonlinear system identification was a field characterized by a variety of ad-hoc approaches, each applicable only to a very limited class of systems. With the advent of neural networks, fuzzy models, Gaussian process models, and modern structure optimization techniques, a much broader class of systems can now be handled. Although one major aspect of nonlinear systems is that virtually every one is unique, tools have since been developed that allow each approach to be applied to a wide variety of systems.

Two-Degree-of-Freedom Control Systems

Two-Degree-of-Freedom Control Systems PDF Author: László Kevickzy
Publisher: Academic Press
ISBN: 0128033460
Category : Technology & Engineering
Languages : en
Pages : 537

Get Book Here

Book Description
This book covers the most important issues from classical and robust control, deterministic and stochastic control, system identification, and adaptive and iterative control strategies. It covers most of the known control system methodologies using a new base, the Youla parameterization (YP). This concept is introduced and extended for TDOF control loops. The Keviczky-Banyasz parameterization (KP) method developed for closed loop systems is also presented. The book is valuable for those who want to see through the jungle of available methods by using a unified approach, and for those who want to prepare computer code with a given algorithm. Provides comprehensive coverage of the most widely used control system methodologies The first book to use the Youla parameterization (YP) as a common base for comparison and algorithm development Compares YP and Keviczky-Banyasz (KB) parameterization to help you write your own computer algorithms

Adaptive Digital Filters

Adaptive Digital Filters PDF Author: Branko Kovačević
Publisher: Springer Science & Business Media
ISBN: 3642335616
Category : Technology & Engineering
Languages : en
Pages : 221

Get Book Here

Book Description
“Adaptive Digital Filters” presents an important discipline applied to the domain of speech processing. The book first makes the reader acquainted with the basic terms of filtering and adaptive filtering, before introducing the field of advanced modern algorithms, some of which are contributed by the authors themselves. Working in the field of adaptive signal processing requires the use of complex mathematical tools. The book offers a detailed presentation of the mathematical models that is clear and consistent, an approach that allows everyone with a college level of mathematics knowledge to successfully follow the mathematical derivations and descriptions of algorithms. The algorithms are presented in flow charts, which facilitates their practical implementation. The book presents many experimental results and treats the aspects of practical application of adaptive filtering in real systems, making it a valuable resource for both undergraduate and graduate students, and for all others interested in mastering this important field.

Hybrid Electric Vehicle System Modeling and Control

Hybrid Electric Vehicle System Modeling and Control PDF Author: Wei Liu
Publisher: John Wiley & Sons
ISBN: 1119279321
Category : Technology & Engineering
Languages : en
Pages : 584

Get Book Here

Book Description
This new edition includes approximately 30% new materials covering the following information that has been added to this important work: extends the contents on Li-ion batteries detailing the positive and negative electrodes and characteristics and other components including binder, electrolyte, separator and foils, and the structure of Li-ion battery cell. Nickel-cadmium batteries are deleted. adds a new section presenting the modelling of multi-mode electrically variable transmission, which gradually became the main structure of the hybrid power-train during the last 5 years. newly added chapter on noise and vibration of hybrid vehicles introduces the basics of vibration and noise issues associated with power-train, driveline and vehicle vibrations, and addresses control solutions to reduce the noise and vibration levels. Chapter 10 (chapter 9 of the first edition) is extended by presenting EPA and UN newly required test drive schedules and test procedures for hybrid electric mileage calculation for window sticker considerations. In addition to the above major changes in this second edition, adaptive charging sustaining point determination method is presented to have a plug-in hybrid electric vehicle with optimum performance.

Recursive Estimation and Time-Series Analysis

Recursive Estimation and Time-Series Analysis PDF Author: Peter C. Young
Publisher: Springer Science & Business Media
ISBN: 364282336X
Category : Technology & Engineering
Languages : en
Pages : 315

Get Book Here

Book Description
This book has grown out of a set of lecture notes prepared originally for a NATO Summer School on "The Theory and Practice of Systems ModelLing and Identification" held between the 17th and 28th July, 1972 at the Ecole Nationale Superieure de L'Aeronautique et de L'Espace. Since this time I have given similar lecture courses in the Control Division of the Engineering Department, University of Cambridge; Department of Mechanical Engineering, University of Western Australia; the University of Ghent, Belgium (during the time I held the IBM Visiting Chair in Simulation for the month of January, 1980), the Australian National University, and the Agricultural University, Wageningen, the Netherlands. As a result, I am grateful to all the reci pients of these lecture courses for their help in refining the book to its present form; it is still far from perfect but I hope that it will help the student to become acquainted with the interesting and practically useful concept of recursive estimation. Furthermore, I hope it will stimulate the reader to further study the theoretical aspects of the subject, which are not dealt with in detail in the present text. The book is primarily intended to provide an introductory set of lecture notes on the subject of recursive estimation to undergraduate/Masters students. However, the book can also be considered as a "theoretical background" handbook for use with the CAPTAIN Computer Package.