system identification an introduction advanced textbooks in control and signal processing

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System Identification

Author : Karel J. Keesman
ISBN : 0857295225
Genre : Technology & Engineering
File Size : 53. 64 MB
Format : PDF
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System Identification shows the student reader how to approach the system identification problem in a systematic fashion. The process is divided into three basic steps: experimental design and data collection; model structure selection and parameter estimation; and model validation, each of which is the subject of one or more parts of the text. Following an introduction on system theory, particularly in relation to model representation and model properties, the book contains four parts covering: • data-based identification – non-parametric methods for use when prior system knowledge is very limited; • time-invariant identification for systems with constant parameters; • time-varying systems identification, primarily with recursive estimation techniques; and • model validation methods. A fifth part, composed of appendices, covers the various aspects of the underlying mathematics needed to begin using the text. The book uses essentially semi-physical or gray-box modeling methods although data-based, transfer-function system descriptions are also introduced. The approach is problem-based rather than rigorously mathematical. The use of finite input–output data is demonstrated for frequency- and time-domain identification in static, dynamic, linear, nonlinear, time-invariant and time-varying systems. Simple examples are used to show readers how to perform and emulate the identification steps involved in various control design methods with more complex illustrations derived from real physical, chemical and biological applications being used to demonstrate the practical applicability of the methods described. End-of-chapter exercises (for which a downloadable instructors’ Solutions Manual is available from fill in URL here) will both help students to assimilate what they have learned and make the book suitable for self-tuition by practitioners looking to brush up on modern techniques. Graduate and final-year undergraduate students will find this text to be a practical and realistic course in system identification that can be used for assessing the processes of a variety of engineering disciplines. System Identification will help academic instructors teaching control-related to give their students a good understanding of identification methods that can be used in the real world without the encumbrance of undue mathematical detail.

Identification Of Dynamic Systems

Author : Rolf Isermann
ISBN : 3540788794
Genre : Technology & Engineering
File Size : 79. 54 MB
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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.

The Airline Profit Cycle

Author : Eva-Maria Cronrath
ISBN : 9781351743976
Genre : Business & Economics
File Size : 26. 78 MB
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The air transport industry has high economic impact; it supports more than 60 million jobs worldwide. Since the early years of commercial air travel, passenger numbers have grown tremendously. However, for decades airlines’ financial results have been swinging between profits and losses. The airline industry’s aggregate net average profit between 1970 and 2010 was close to zero, which implies bankruptcies and layoffs in downturns. The profit cycle’s amplitude has been rising over time, which means that problems have become increasingly severe and also shows that the industry may not have learned from the past. More stable financial results could not only facilitate airline management decisions and improve investors’ confidence but also preserve employment. This book offers a thorough understanding of the airline profit cycle’s causes and drivers, and it presents measures to achieve a higher and more stable profitability level. This is the first in-depth examination of the airline profit cycle. The airline industry is modelled as a complex dynamic system, which is used for quantitative simulations of ‘what if’ scenarios. These experiments reveal that the general economic environment, such as GDP or fuel price developments, influence the airline industry’s profitability pattern as well as certain regulations or aircraft manufactures’ policies. Yet despite all circumstances, simulations show that airlines’ own management decisions are sufficient to generate higher and more stable profits in the industry. This book is useful for aviation industry decision makers, investors, policy makers, and researchers because it explains why the airline industry earns or loses money. This knowledge will advance forecasting and market intelligence. Furthermore, the book offers practitioners different suggestions to sustainably improve the airline industry’s profitability. The book is also recommended as a case study for system analysis as well as industry cyclicality at graduate or postgraduate level for courses such as engineering, economics, or management.

Fast Electrochemical Impedance Spectroscopy

Author : Pavle Boškoski
ISBN : 9783319533902
Genre : Technology & Engineering
File Size : 65. 54 MB
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This book offers a review of electrochemical impedance spectroscopy (EIS) and its application in online condition monitoring of electrochemical devices, focusing on the practicalities of performing fast and accurate EIS. The first part of the book addresses the theoretical aspects of the fast EIS technique, including stochastic excitation signals, time-frequency signal processing, and statistical analysis of impedance measurements. The second part presents an application of the fast EIS technique for condition monitoring and evaluates the performance of the proposed fast EIS methodology in three different types of electrochemical devices: a Li-ion battery, a Li-S cell, and a polymer electrolyte membrane (PEM) fuel cell. Uniquely, in addition to theoretical aspects the book provides practical guidelines for implementation, commissioning, and exploitation of EIS for condition monitoring of electrochemical devices, making it a valuable resource for practicing engineers as well as researchers.

Subspace Methods For System Identification

Author : Tohru Katayama
ISBN : 9781846281587
Genre : Technology & Engineering
File Size : 60. 15 MB
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An in-depth introduction to subspace methods for system identification in discrete-time linear systems thoroughly augmented with advanced and novel results, this text is structured into three parts. Part I deals with the mathematical preliminaries: numerical linear algebra; system theory; stochastic processes; and Kalman filtering. Part II explains realization theory as applied to subspace identification. Stochastic realization results based on spectral factorization and Riccati equations, and on canonical correlation analysis for stationary processes are included. Part III demonstrates the closed-loop application of subspace identification methods. Subspace Methods for System Identification is an excellent reference for researchers and a useful text for tutors and graduate students involved in control and signal processing courses. It can be used for self-study and will be of interest to applied scientists or engineers wishing to use advanced methods in modeling and identification of complex systems.

Multivariable System Identification For Process Control

Author : Y. Zhu
ISBN : 0080537111
Genre : Technology & Engineering
File Size : 56. 50 MB
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Systems and control theory has experienced significant development in the past few decades. New techniques have emerged which hold enormous potential for industrial applications, and which have therefore also attracted much interest from academic researchers. However, the impact of these developments on the process industries has been limited. The purpose of Multivariable System Identification for Process Control is to bridge the gap between theory and application, and to provide industrial solutions, based on sound scientific theory, to process identification problems. The book is organized in a reader-friendly way, starting with the simplest methods, and then gradually introducing more complex techniques. Thus, the reader is offered clear physical insight without recourse to large amounts of mathematics. Each method is covered in a single chapter or section, and experimental design is explained before any identification algorithms are discussed. The many simulation examples and industrial case studies demonstrate the power and efficiency of process identification, helping to make the theory more applicable. MatlabTM M-files, designed to help the reader to learn identification in a computing environment, are included.

System Identification And Adaptive Control

Author : Yiannis Boutalis
ISBN : 9783319063645
Genre : Technology & Engineering
File Size : 53. 65 MB
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Presenting current trends in the development and applications of intelligent systems in engineering, this monograph focuses on recent research results in system identification and control. The recurrent neurofuzzy and the fuzzy cognitive network (FCN) models are presented. Both models are suitable for partially-known or unknown complex time-varying systems. Neurofuzzy Adaptive Control contains rigorous proofs of its statements which result in concrete conclusions for the selection of the design parameters of the algorithms presented. The neurofuzzy model combines concepts from fuzzy systems and recurrent high-order neural networks to produce powerful system approximations that are used for adaptive control. The FCN model stems from fuzzy cognitive maps and uses the notion of “concepts” and their causal relationships to capture the behavior of complex systems. The book shows how, with the benefit of proper training algorithms, these models are potent system emulators suitable for use in engineering systems. All chapters are supported by illustrative simulation experiments, while separate chapters are devoted to the potential industrial applications of each model including projects in: • contemporary power generation; • process control and • conventional benchmarking problems. Researchers and graduate students working in adaptive estimation and intelligent control will find Neurofuzzy Adaptive Control of interest both for the currency of its models and because it demonstrates their relevance for real systems. The monograph also shows industrial engineers how to test intelligent adaptive control easily using proven theoretical results.

Perturbation Signals For System Identification

Author : Keith Godfrey
ISBN : UOM:39015029940312
Genre : Technology & Engineering
File Size : 76. 97 MB
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Industrial Digital Control Systems

Author : K. Warwick
ISBN : 0863411371
Genre : Technology & Engineering
File Size : 51. 72 MB
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Includes: Digital signals and systems. Digital controllers for process control applications. Design of digital controllers. Control of time delay systems. State-space concepts. System identification. Introduction to discrete optimal control. Multivariable control. Adaptive control. Computer aided design for industrial control systems. Reliability and redundancy in microprocessor controllers. Software and hardware aspects of industrial controller implementations. Application of distributed digital control algorithms to power stations. An expert system for process control.

Advanced Process Identification And Control

Author : Enso Ikonen
ISBN : 082470648X
Genre : Science
File Size : 40. 70 MB
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A presentation of techniques in advanced process modelling, identification, prediction, and parameter estimation for the implementation and analysis of industrial systems. The authors cover applications for the identification of linear and non-linear systems, the design of generalized predictive controllers (GPCs), and the control of multivariable systems.

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