System Identification (SYSID '03)

System Identification (SYSID '03) PDF Author: Paul Van Den Hof
Publisher: Elsevier
ISBN: 9780080437095
Category : Science
Languages : en
Pages : 2080

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Book Description
The scope of the symposium covers all major aspects of system identification, experimental modelling, signal processing and adaptive control, ranging from theoretical, methodological and scientific developments to a large variety of (engineering) application areas. It is the intention of the organizers to promote SYSID 2003 as a meeting place where scientists and engineers from several research communities can meet to discuss issues related to these areas. Relevant topics for the symposium program include: Identification of linear and multivariable systems, identification of nonlinear systems, including neural networks, identification of hybrid and distributed systems, Identification for control, experimental modelling in process control, vibration and modal analysis, model validation, monitoring and fault detection, signal processing and communication, parameter estimation and inverse modelling, statistical analysis and uncertainty bounding, adaptive control and data-based controller tuning, learning, data mining and Bayesian approaches, sequential Monte Carlo methods, including particle filtering, applications in process control systems, motion control systems, robotics, aerospace systems, bioengineering and medical systems, physical measurement systems, automotive systems, econometrics, transportation and communication systems *Provides the latest research on System Identification *Contains contributions written by experts in the field *Part of the IFAC Proceedings Series which provides a comprehensive overview of the major topics in control engineering.

System Identification (SYSID '03)

System Identification (SYSID '03) PDF Author: Paul Van Den Hof
Publisher: Elsevier
ISBN: 9780080437095
Category : Science
Languages : en
Pages : 2080

Get Book

Book Description
The scope of the symposium covers all major aspects of system identification, experimental modelling, signal processing and adaptive control, ranging from theoretical, methodological and scientific developments to a large variety of (engineering) application areas. It is the intention of the organizers to promote SYSID 2003 as a meeting place where scientists and engineers from several research communities can meet to discuss issues related to these areas. Relevant topics for the symposium program include: Identification of linear and multivariable systems, identification of nonlinear systems, including neural networks, identification of hybrid and distributed systems, Identification for control, experimental modelling in process control, vibration and modal analysis, model validation, monitoring and fault detection, signal processing and communication, parameter estimation and inverse modelling, statistical analysis and uncertainty bounding, adaptive control and data-based controller tuning, learning, data mining and Bayesian approaches, sequential Monte Carlo methods, including particle filtering, applications in process control systems, motion control systems, robotics, aerospace systems, bioengineering and medical systems, physical measurement systems, automotive systems, econometrics, transportation and communication systems *Provides the latest research on System Identification *Contains contributions written by experts in the field *Part of the IFAC Proceedings Series which provides a comprehensive overview of the major topics in control engineering.

System Identification 2003

System Identification 2003 PDF Author: Paul Van Den Hof
Publisher: Elsevier Science
ISBN: 9780080437095
Category : Technology & Engineering
Languages : en
Pages : 2088

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Book Description
The scope of the symposium covers all major aspects of system identification, experimental modelling, signal processing and adaptive control, ranging from theoretical, methodological and scientific developments to a large variety of (engineering) application areas. It is the intention of the organizers to promote SYSID 2003 as a meeting place where scientists and engineers from several research communities can meet to discuss issues related to these areas. Relevant topics for the symposium program include: Identification of linear and multivariable systems, identification of nonlinear systems, including neural networks, identification of hybrid and distributed systems, Identification for control, experimental modelling in process control, vibration and modal analysis, model validation, monitoring and fault detection, signal processing and communication, parameter estimation and inverse modelling, statistical analysis and uncertainty bounding, adaptive control and data-based controller tuning, learning, data mining and Bayesian approaches, sequential Monte Carlo methods, including particle filtering, applications in process control systems, motion control systems, robotics, aerospace systems, bioengineering and medical systems, physical measurement systems, automotive systems, econometrics, transportation and communication systems *Provides the latest research on System Identification *Contains contributions written by experts in the field *Part of the IFAC Proceedings Series which provides a comprehensive overview of the major topics in control engineering.

System Identification 1994 (SYSID'94), 3-Volume Set

System Identification 1994 (SYSID'94), 3-Volume Set PDF Author: T. Söderström
Publisher: Pergamon
ISBN: 9780080422251
Category : Computers
Languages : en
Pages : 1632

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Book Description
The everyday use of system identification is now widespread, with new and challenging problem areas continually being discovered due, mainly, to new applicaton requirements. Leading researchers and industrial practitioners were able to discuss and evaluate current developments and future reseach directions at the IFAC Symposium on System Identification, SYSID '94. This is one of the most prestigious conferences which has been held every three years since 1967. This publication focuses on new subject areas together with new results from more established areas covered at the symposium. Detailed assessment of important, active subject areas include: Wavelets, Model Quality, Robust Identification and Neural Nets in System Identification, Laguerre and Kautz Models, Bounded Noise, Industrial Use, Subspace Methods, Closed Loop Issues and the interplay between Identification and Signal Processing.

Block-oriented Nonlinear System Identification

Block-oriented Nonlinear System Identification PDF Author: Fouad Giri
Publisher: Springer Science & Business Media
ISBN: 1849965129
Category : Technology & Engineering
Languages : en
Pages : 425

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Book Description
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.

Control Systems Design 2003 (CSD '03)

Control Systems Design 2003 (CSD '03) PDF Author: Stefan Kozak
Publisher: Elsevier
ISBN: 9780080441757
Category : Science
Languages : en
Pages : 576

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Book Description
The material presented in this volume represents current ideas, knowledge, experience and research results in various fields of control system design.

System Identification (SYSID'94)

System Identification (SYSID'94) PDF Author: M. Blanke
Publisher:
ISBN: 9780080422251
Category : System identification
Languages : en
Pages : 1632

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Book Description


Robot Control 2003 (SYROCO '03)

Robot Control 2003 (SYROCO '03) PDF Author: Ignacy Duleba
Publisher: Elsevier
ISBN: 9780080440095
Category : Science
Languages : en
Pages : 344

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Book Description
SYROCO'2003 covered areas and aspects of robot control Topics: Robot control techniques (adaptive, robust, learning) Modeling and identification Control of discrete / continuous-time robotic systems Non-holonomic robotic systems Intelligent control Control based on sensing Control design and architectures Force and compliance control Grasp control Flexible robots Micro robots Mobile robots Walking robots Humanoid robots Teleoperation and man / machine dynamic systems Multi-Robot-Systems, cooperative robots Applications: space, underwater, civil engineering, surgery, entertainment, mining, etc. *Provides the latest research on Robotics *Contains contributions written by experts in the field. *Part of the IFAC Proceedings Series which provides a comprehensive overview of the major topics in control engineering.

Process Modelling for Control

Process Modelling for Control PDF Author: Benoît Codrons
Publisher: Springer Science & Business Media
ISBN: 1846282470
Category : Technology & Engineering
Languages : en
Pages : 255

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Book Description
Process Modelling for Control concentrates on the modelling steps underlying a successful control design, answering questions like: How should I carry out the identification of my process to obtain a good model? How can I assess the quality of a model before to using it in control design? How can I ensure that a controller will stabilise a real process well enough before implementation? What is the most efficient method of order reduction to simplify the implementation of high-order controllers? System identification, model/controller validation and order reduction are studied in a common framework. Detailed worked examples, representative of various industrial applications, are given. This monograph uses mathematics convenient to researchers interested in real applications and to practising engineers interested in control theory. It enables control engineers to improve their methods and provides academics and graduate students with an all-round view of recent results in modelling for control.

Computer Information Systems and Industrial Management

Computer Information Systems and Industrial Management PDF Author: Khalid Saeed
Publisher: Springer
ISBN: 3319243691
Category : Computers
Languages : en
Pages : 624

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Book Description
This book constitutes the proceedings of the 14th IFIP TC 8 International Conference on Computer Information Systems and Industrial Management, CISIM 2015, held in Warsaw, Poland, in September 2015. The 47 papers presented in this volume were carefully reviewed and selected from about 80 submissions. The main topics covered are biometrics, security systems, multimedia, classification and clustering with applications, and industrial management.

Data-Driven Identification of Networks of Dynamic Systems

Data-Driven Identification of Networks of Dynamic Systems PDF Author: Michel Verhaegen
Publisher: Cambridge University Press
ISBN: 100902809X
Category : Technology & Engineering
Languages : en
Pages : 288

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Book Description
This comprehensive text provides an excellent introduction to the state of the art in the identification of network-connected systems. It covers models and methods in detail, includes a case study showing how many of these methods are applied in adaptive optics and addresses open research questions. Specific models covered include generic modelling for MIMO LTI systems, signal flow models of dynamic networks and models of networks of local LTI systems. A variety of different identification methods are discussed, including identification of signal flow dynamics networks, subspace-like identification of multi-dimensional systems and subspace identification of local systems in an NDS. Researchers working in system identification and/or networked systems will appreciate the comprehensive overview provided, and the emphasis on algorithm design will interest those wishing to test the theory on real-life applications. This is the ideal text for researchers and graduate students interested in system identification for networked systems.