Combined Parametric Nonparametric Identification Of Block Oriented Systems

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Combined Parametric-Nonparametric Identification of Block-Oriented Systems

Author : Grzegorz Mzyk
Publisher : Springer
ISBN 13 : 3319035967
Total Pages : 245 pages
Book Rating : 4.3/5 (19 download)

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Book Synopsis Combined Parametric-Nonparametric Identification of Block-Oriented Systems by : Grzegorz Mzyk

Download or read book Combined Parametric-Nonparametric Identification of Block-Oriented Systems written by Grzegorz Mzyk and published by Springer. This book was released on 2013-11-20 with total page 245 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book considers a problem of block-oriented nonlinear dynamic system identification in the presence of random disturbances. This class of systems includes various interconnections of linear dynamic blocks and static nonlinear elements, e.g., Hammerstein system, Wiener system, Wiener-Hammerstein ("sandwich") system and additive NARMAX systems with feedback. Interconnecting signals are not accessible for measurement. The combined parametric-nonparametric algorithms, proposed in the book, can be selected dependently on the prior knowledge of the system and signals. Most of them are based on the decomposition of the complex system identification task into simpler local sub-problems by using non-parametric (kernel or orthogonal) regression estimation. In the parametric stage, the generalized least squares or the instrumental variables technique is commonly applied to cope with correlated excitations. Limit properties of the algorithms have been shown analytically and illustrated in simple experiments.

Combined Parametric-Nonparametric Identification of Block-Oriented Systems

Author : Grzegorz Mzyk
Publisher : Springer
ISBN 13 : 9783319035970
Total Pages : 238 pages
Book Rating : 4.0/5 (359 download)

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Book Synopsis Combined Parametric-Nonparametric Identification of Block-Oriented Systems by : Grzegorz Mzyk

Download or read book Combined Parametric-Nonparametric Identification of Block-Oriented Systems written by Grzegorz Mzyk and published by Springer. This book was released on 2013-11-27 with total page 238 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book considers a problem of block-oriented nonlinear dynamic system identification in the presence of random disturbances. This class of systems includes various interconnections of linear dynamic blocks and static nonlinear elements, e.g., Hammerstein system, Wiener system, Wiener-Hammerstein ("sandwich") system and additive NARMAX systems with feedback. Interconnecting signals are not accessible for measurement. The combined parametric-nonparametric algorithms, proposed in the book, can be selected dependently on the prior knowledge of the system and signals. Most of them are based on the decomposition of the complex system identification task into simpler local sub-problems by using non-parametric (kernel or orthogonal) regression estimation. In the parametric stage, the generalized least squares or the instrumental variables technique is commonly applied to cope with correlated excitations. Limit properties of the algorithms have been shown analytically and illustrated in simple experiments.

Block-oriented Nonlinear System Identification

Author : Fouad Giri
Publisher : Springer
ISBN 13 : 1849965137
Total Pages : 425 pages
Book Rating : 4.8/5 (499 download)

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Book Synopsis Block-oriented Nonlinear System Identification by : Fouad Giri

Download or read book Block-oriented Nonlinear System Identification written by Fouad Giri and published by Springer. This book was released on 2010-09-22 with total page 425 pages. Available in PDF, EPUB and Kindle. Book excerpt: Block-oriented Nonlinear System Identification deals with an area of research that has been very active since the turn of the millennium. The book makes a pedagogical and cohesive presentation of the methods developed in that time. These include: iterative and over-parameterization techniques; stochastic and frequency approaches; support-vector-machine, subspace, and separable-least-squares methods; blind identification method; bounded-error method; and decoupling inputs approach. The identification methods are presented by authors who have either invented them or contributed significantly to their development. All the important issues e.g., input design, persistent excitation, and consistency analysis, are discussed. The practical relevance of block-oriented models is illustrated through biomedical/physiological system modelling. The book will be of major interest to all those who are concerned with nonlinear system identification whatever their activity areas. This is particularly the case for educators in electrical, mechanical, chemical and biomedical engineering and for practising engineers in process, aeronautic, aerospace, robotics and vehicles control. Block-oriented Nonlinear System Identification serves as a reference for active researchers, new comers, industrial and education practitioners and graduate students alike.

Advanced Technologies for Industrial Applications

Author : Rohit Thanki
Publisher : Springer Nature
ISBN 13 : 3031332385
Total Pages : 105 pages
Book Rating : 4.0/5 (313 download)

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Book Synopsis Advanced Technologies for Industrial Applications by : Rohit Thanki

Download or read book Advanced Technologies for Industrial Applications written by Rohit Thanki and published by Springer Nature. This book was released on 2023-06-27 with total page 105 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides information on advanced communication technology used in Industry 4.0 and 5.0. The book covers a variety of technologies such as signal processing, system designing, computer vision, and artificial intelligence and explains their benefits, usage, and market values in Industry 4.0 and 5.0. The authors present technological tools for industrial applications and give examples of their usage of system design, modeling, artificial intelligence, internet of things and robotics. This book covers the impact of these technologies in various industrial applications and provides future technological tools that will be helpful in future planning and development. The book is pertinent to researchers, academics, professionals, planners, and student’s interest in Industry 5.0.

Stochastic Models, Statistics and Their Applications

Author : Ansgar Steland
Publisher : Springer
ISBN 13 : 3319138812
Total Pages : 479 pages
Book Rating : 4.3/5 (191 download)

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Book Synopsis Stochastic Models, Statistics and Their Applications by : Ansgar Steland

Download or read book Stochastic Models, Statistics and Their Applications written by Ansgar Steland and published by Springer. This book was released on 2015-02-04 with total page 479 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume presents the latest advances and trends in stochastic models and related statistical procedures. Selected peer-reviewed contributions focus on statistical inference, quality control, change-point analysis and detection, empirical processes, time series analysis, survival analysis and reliability, statistics for stochastic processes, big data in technology and the sciences, statistical genetics, experiment design, and stochastic models in engineering. Stochastic models and related statistical procedures play an important part in furthering our understanding of the challenging problems currently arising in areas of application such as the natural sciences, information technology, engineering, image analysis, genetics, energy and finance, to name but a few. This collection arises from the 12th Workshop on Stochastic Models, Statistics and Their Applications, Wroclaw, Poland.

Reliability and Statistics in Transportation and Communication

Author : Igor Kabashkin
Publisher : Springer Nature
ISBN 13 : 3030446107
Total Pages : 717 pages
Book Rating : 4.0/5 (34 download)

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Book Synopsis Reliability and Statistics in Transportation and Communication by : Igor Kabashkin

Download or read book Reliability and Statistics in Transportation and Communication written by Igor Kabashkin and published by Springer Nature. This book was released on 2020-03-28 with total page 717 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book reports on cutting-edge theories and methods for analyzing complex systems, such as transportation and communication networks and discusses multi-disciplinary approaches to dependability problems encountered when dealing with complex systems in practice. The book presents the most noteworthy methods and results discussed at the International Conference on Reliability and Statistics in Transportation and Communication (RelStat), which took place in Riga, Latvia on October 16 – 19, 2019. It spans a broad spectrum of topics, from mathematical models and design methodologies, to software engineering, data security and financial issues, as well as practical problems in technical systems, such as transportation and telecommunications, and in engineering education.

Theory and Engineering of Dependable Computer Systems and Networks

Author : Wojciech Zamojski
Publisher : Springer Nature
ISBN 13 : 3030767736
Total Pages : 512 pages
Book Rating : 4.0/5 (37 download)

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Book Synopsis Theory and Engineering of Dependable Computer Systems and Networks by : Wojciech Zamojski

Download or read book Theory and Engineering of Dependable Computer Systems and Networks written by Wojciech Zamojski and published by Springer Nature. This book was released on 2021-05-26 with total page 512 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains papers on selected aspects of dependability analysis in computer systems and networks, which were chosen for discussion during the 16th DepCoS-RELCOMEX conference held in Wrocław, Poland, from June 28 to July 2, 2021. Their collection will be a valuable source material for scientists, researchers, practitioners and students who are dealing with design, analysis and engineering of computer systems and networks and must ensure their dependable operation. Being probably the most complex technical systems ever engineered by man (and also—the most dynamically evolving ones), organization of contemporary computer systems cannot be interpreted only as structures built on the basis of (unreliable) technical resources. Their evaluation must take into account a specific blend of interacting people (their needs and behaviours), networks (together with mobile properties, cloud organization, Internet of Everything, etc.) and a large number of users dispersed geographically and constantly producing an unconceivable number of applications. Ever-growing number of research methods being continuously developed for dependability analyses apply the newest techniques of artificial and computational intelligence. Selection of papers in these proceedings illustrates diversity of multi-disciplinary topics which are considered in present-day dependability explorations.

Trends in Advanced Intelligent Control, Optimization and Automation

Author : Wojciech Mitkowski
Publisher : Springer
ISBN 13 : 3319606999
Total Pages : 886 pages
Book Rating : 4.3/5 (196 download)

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Book Synopsis Trends in Advanced Intelligent Control, Optimization and Automation by : Wojciech Mitkowski

Download or read book Trends in Advanced Intelligent Control, Optimization and Automation written by Wojciech Mitkowski and published by Springer. This book was released on 2017-06-06 with total page 886 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume contains the proceedings of the KKA 2017 – the 19th Polish Control Conference, organized by the Department of Automatics and Biomedical Engineering, AGH University of Science and Technology in Kraków, Poland on June 18–21, 2017, under the auspices of the Committee on Automatic Control and Robotics of the Polish Academy of Sciences, and the Commission for Engineering Sciences of the Polish Academy of Arts and Sciences. Part 1 deals with general issues of modeling and control, notably flow modeling and control, sliding mode, predictive, dual, etc. control. In turn, Part 2 focuses on optimization, estimation and prediction for control. Part 3 is concerned with autonomous vehicles, while Part 4 addresses applications. Part 5 discusses computer methods in control, and Part 6 examines fractional order calculus in the modeling and control of dynamic systems. Part 7 focuses on modern robotics. Part 8 deals with modeling and identification, while Part 9 deals with problems related to security, fault detection and diagnostics. Part 10 explores intelligent systems in automatic control, and Part 11 discusses the use of control tools and techniques in biomedical engineering. Lastly, Part 12 considers engineering education and teaching with regard to automatic control and robotics.

Optimal Input Signals for Parameter Estimation

Author : Ewaryst Rafajłowicz
Publisher : Walter de Gruyter GmbH & Co KG
ISBN 13 : 3110351048
Total Pages : 202 pages
Book Rating : 4.1/5 (13 download)

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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.

Advanced, Contemporary Control

Author : Marek Pawelczyk
Publisher : Springer Nature
ISBN 13 : 3031351738
Total Pages : 463 pages
Book Rating : 4.0/5 (313 download)

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Book Synopsis Advanced, Contemporary Control by : Marek Pawelczyk

Download or read book Advanced, Contemporary Control written by Marek Pawelczyk and published by Springer Nature. This book was released on 2023-07-15 with total page 463 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces the reader to the hottest topics in current control sciences and robotics, as seen by scientists from Poland and other European countries. Volume 2 comprises 42 chapters, which specifically address topics connected to statistical and stochastic methods in control engineering applications, to optimization and quantum computing, to biological, medical, and ecological systems, to new applications of artificial intelligence and machine learning in automated and connected vehicles, to design and control of autonomous marine, robotics, and vehicles systems, and to other modern topics. The contributions were presented during XXI Polish Control Conference, held in Gliwice, Poland, from June 26 to 29, 2023. This book is extremely useful to all persons who want to know the latest trends in automation and robotics.

Advanced, Contemporary Control

Author : Andrzej Bartoszewicz
Publisher : Springer Nature
ISBN 13 : 3030509362
Total Pages : 1560 pages
Book Rating : 4.0/5 (35 download)

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Book Synopsis Advanced, Contemporary Control by : Andrzej Bartoszewicz

Download or read book Advanced, Contemporary Control written by Andrzej Bartoszewicz and published by Springer Nature. This book was released on 2020-06-24 with total page 1560 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the proceedings of the 20th Polish Control Conference. A triennial event that was first held in 1958, the conference successfully combines its long tradition with a modern approach to shed light on problems in control engineering, automation, robotics and a wide range of applications in these disciplines. The book presents new theoretical results concerning the steering of dynamical systems, as well as industrial case studies and worked solutions to real-world problems in contemporary engineering. It particularly focuses on the modelling, identification, analysis and design of automation systems; however, it also addresses the evaluation of their performance, efficiency and reliability. Other topics include fault-tolerant control in robotics, automated manufacturing, mechatronics and industrial systems. Moreover, it discusses data processing and transfer issues, covering a variety of methodologies, including model predictive, robust and adaptive techniques, as well as algebraic and geometric methods, and fractional order calculus approaches. The book also examines essential application areas, such as transportation and autonomous intelligent vehicle systems, robotic arms, mobile manipulators, cyber-physical systems, electric drives and both surface and underwater marine vessels. Lastly, it explores biological and medical applications of the control-theory-inspired methods.

Nonlinear Predictive Control Using Wiener Models

Author : Maciej Ławryńczuk
Publisher : Springer Nature
ISBN 13 : 3030838153
Total Pages : 358 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Nonlinear Predictive Control Using Wiener Models by : Maciej Ławryńczuk

Download or read book Nonlinear Predictive Control Using Wiener Models written by Maciej Ławryńczuk and published by Springer Nature. This book was released on 2021-09-21 with total page 358 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents computationally efficient MPC solutions. The classical model predictive control (MPC) approach to control dynamical systems described by the Wiener model uses an inverse static block to cancel the influence of process nonlinearity. Unfortunately, the model's structure is limited, and it gives poor control quality in the case of an imperfect model and disturbances. An alternative is to use the computationally demanding MPC scheme with on-line nonlinear optimisation repeated at each sampling instant. A linear approximation of the Wiener model or the predicted trajectory is found on-line. As a result, quadratic optimisation tasks are obtained. Furthermore, parameterisation using Laguerre functions is possible to reduce the number of decision variables. Simulation results for ten benchmark processes show that the discussed MPC algorithms lead to excellent control quality. For a neutralisation reactor and a fuel cell, essential advantages of neural Wiener models are demonstrated.

Smart Electromechanical Systems

Author : Irina Leonidovna Tarasova
Publisher : Springer Nature
ISBN 13 : 3031642775
Total Pages : 258 pages
Book Rating : 4.0/5 (316 download)

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Book Synopsis Smart Electromechanical Systems by : Irina Leonidovna Tarasova

Download or read book Smart Electromechanical Systems written by Irina Leonidovna Tarasova and published by Springer Nature. This book was released on with total page 258 pages. Available in PDF, EPUB and Kindle. Book excerpt:

New Advances in Dependability of Networks and Systems

Author : Wojciech Zamojski
Publisher : Springer Nature
ISBN 13 : 3031067460
Total Pages : 413 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis New Advances in Dependability of Networks and Systems by : Wojciech Zamojski

Download or read book New Advances in Dependability of Networks and Systems written by Wojciech Zamojski and published by Springer Nature. This book was released on 2022-05-26 with total page 413 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book consists of papers on selected topics of dependability analysis in computer systems and networks which were discussed during the 17th DepCoS-RELCOMEX conference held in Wrocław, Poland, from June 27th to July 1st, 2022. Their collection will be an interesting source material for scientists, researchers, practitioners and students who are dealing with design, analysis and engineering of computer systems and networks and must ensure their dependable operation. Being probably the most complex technical systems ever engineered by man (and also, the most dynamically evolving ones), organization of contemporary computer systems and networks cannot be interpreted only as a structure built on the base of unreliable technical resources. Their evaluation must take into account a unique blend of interacting people, networks (together with mobile properties, cloud organization, Internet of Everything, etc.) and a large number of users dispersed geographically and constantly producing an unconceivable number of applications. Research methods being continuously developed for dependability analyses apply newest results of artificial and computational intelligence. Selection of papers in this book illustrates broad range of topics, often multi-disciplinary, which is considered in present-day dependability explorations; it also reveals an increasing role of the latest methods based on machine/deep learning and neural networks in these studies.

Smart Electromechanical Systems

Author : Andrey E. Gorodetskiy
Publisher : Springer Nature
ISBN 13 : 3030970043
Total Pages : 271 pages
Book Rating : 4.0/5 (39 download)

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Book Synopsis Smart Electromechanical Systems by : Andrey E. Gorodetskiy

Download or read book Smart Electromechanical Systems written by Andrey E. Gorodetskiy and published by Springer Nature. This book was released on 2022-04-12 with total page 271 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the latest achievements in the field of theory and practice of information processing in the CNS SEMS. Recently, the task of integrating computer technologies, transmitting and storing information, monitoring and controlling objects of the physical world has become urgent. This capability is provided by Smart Electromechanical Systems (SEMS) used in Cyber-Physical Systems (CPhS). The main tasks in the field of theory and practice of SEMS are to ensure the efficiency, reliability and safety of functioning in real time. The task of obtaining reliable information about the selection environment, as well as object recognition and identification, is especially important when several SEMS interact in a group. Since in this case, it is necessary to ensure the safety and speed of the planned behavior of all members of the group. The purpose of the publication is to familiarize with the latest achievements of scientists of the Russian Academy of Sciences and leading universities of Russia in the field of theory and practice of information processing in the CNS of EMS, as well as to familiarize with the development of methods and algorithms for recognition, identification and modeling based on the principles of bionics, adaptivity, intelligence and parallelism in information processing and computing. Topics of primary interest include, but are not limited to the following: Methods and systems of recognition and identification; Mathematical and computer modeling; Measurement systems to identify the simulation of the selection environment; Sensors and auxiliary SEMS systems. This book is intended for students, scientists and engineers specializing in smart electromechanical systems and robotics.

Automatic Control, Robotics, and Information Processing

Author : Piotr Kulczycki
Publisher : Springer Nature
ISBN 13 : 3030485870
Total Pages : 843 pages
Book Rating : 4.0/5 (34 download)

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Book Synopsis Automatic Control, Robotics, and Information Processing by : Piotr Kulczycki

Download or read book Automatic Control, Robotics, and Information Processing written by Piotr Kulczycki and published by Springer Nature. This book was released on 2020-09-03 with total page 843 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a wide and comprehensive range of issues and problems in various fields of science and engineering, from both theoretical and applied perspectives. The desire to develop more effective and efficient tools and techniques for dealing with complex processes and systems has been a natural inspiration for the emergence of numerous fields of science and technology, in particular control and automation and, more recently, robotics. The contributions gathered here concern the development of methods and algorithms to determine best practices regarding broadly perceived decisions or controls. From an engineering standpoint, many of them focus on how to automate a specific process or complex system. From a tools-based perspective, several contributions address the development of analytic and algorithmic methods and techniques, devices and systems that make it possible to develop and subsequently implement the automation and robotization of crucial areas of human activity. All topics discussed are illustrated with sample applications.

Advanced Model Predictive Control

Author : Tao Zheng
Publisher : BoD – Books on Demand
ISBN 13 : 9533072989
Total Pages : 434 pages
Book Rating : 4.5/5 (33 download)

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Book Synopsis Advanced Model Predictive Control by : Tao Zheng

Download or read book Advanced Model Predictive Control written by Tao Zheng and published by BoD – Books on Demand. This book was released on 2011-07-05 with total page 434 pages. Available in PDF, EPUB and Kindle. Book excerpt: Model Predictive Control (MPC) refers to a class of control algorithms in which a dynamic process model is used to predict and optimize process performance. From lower request of modeling accuracy and robustness to complicated process plants, MPC has been widely accepted in many practical fields. As the guide for researchers and engineers all over the world concerned with the latest developments of MPC, the purpose of "Advanced Model Predictive Control" is to show the readers the recent achievements in this area. The first part of this exciting book will help you comprehend the frontiers in theoretical research of MPC, such as Fast MPC, Nonlinear MPC, Distributed MPC, Multi-Dimensional MPC and Fuzzy-Neural MPC. In the second part, several excellent applications of MPC in modern industry are proposed and efficient commercial software for MPC is introduced. Because of its special industrial origin, we believe that MPC will remain energetic in the future.