Grey Box Identification Of Distributed Parameter Systems
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Grey Box Identification Of Distributed Parameter Systems
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Author : Yi Liu
language : en
Publisher:
Release Date : 2005
Grey Box Identification Of Distributed Parameter Systems written by Yi Liu and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with categories.
Practical Grey Box Process Identification
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Author : Torsten P. Bohlin
language : en
Publisher: Springer Science & Business Media
Release Date : 2006-09-07
Practical Grey Box Process Identification written by Torsten P. Bohlin and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-09-07 with Technology & Engineering categories.
This book reviews the theoretical fundamentals of grey-box identification and puts the spotlight on MoCaVa, a MATLAB-compatible software tool, for facilitating the procedure of effective grey-box identification. It demonstrates the application of MoCaVa using two case studies drawn from the paper and steel industries. In addition, the book answers common questions which will help in building accurate models for systems with unknown inputs.
Spatio Temporal Modeling Of Nonlinear Distributed Parameter Systems
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Author : Han-Xiong Li
language : en
Publisher: Springer Science & Business Media
Release Date : 2011-02-24
Spatio Temporal Modeling Of Nonlinear Distributed Parameter Systems written by Han-Xiong Li and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-02-24 with Mathematics categories.
The purpose of this volume is to provide a brief review of the previous work on model reduction and identifi cation of distributed parameter systems (DPS), and develop new spatio-temporal models and their relevant identifi cation approaches. In this book, a systematic overview and classifi cation on the modeling of DPS is presented fi rst, which includes model reduction, parameter estimation and system identifi cation. Next, a class of block-oriented nonlinear systems in traditional lumped parameter systems (LPS) is extended to DPS, which results in the spatio-temporal Wiener and Hammerstein systems and their identifi cation methods. Then, the traditional Volterra model is extended to DPS, which results in the spatio-temporal Volterra model and its identification algorithm. All these methods are based on linear time/space separation. Sometimes, the nonlinear time/space separation can play a better role in modeling of very complex processes. Thus, a nonlinear time/space separation based neural modeling is also presented for a class of DPS with more complicated dynamics. Finally, all these modeling approaches are successfully applied to industrial thermal processes, including a catalytic rod, a packed-bed reactor and a snap curing oven. The work is presented giving a unifi ed view from time/space separation. The book also illustrates applications to thermal processes in the electronics packaging and chemical industry. This volume assumes a basic knowledge about distributed parameter systems, system modeling and identifi cation. It is intended for researchers, graduate students and engineers interested in distributed parameter systems, nonlinear systems, and process modeling and control.
Advances In Manufacturing Technology Xvi Ncmr 2002
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Author : Kai Cheng
language : en
Publisher: John Wiley & Sons
Release Date : 2002-11-22
Advances In Manufacturing Technology Xvi Ncmr 2002 written by Kai Cheng and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002-11-22 with Technology & Engineering categories.
Advances in Manufacturing Technology XVI provides a comprehensive collection of papers exploring the very latest developments in the field of manufacturing engineering and managment and incorporates the most up-to-date techniques. TOPICS COVERED INCLUDE: Business strategies process reengineering CAD/CAM and concurrent engineering E-manufacturing and virtual reality Engineering modelling and simulations Total quality management and metrology Intelligent systems. robotics and automation Lean and agiel manufacturing Machining process and tooling Operations management Process control and condition monitoring Covering all aspects of manufacturing engineering, systems, and management this volume will be of great interest to those wanting to keep abreast pf current research and those involved in the planning stages in this area of engineering.
Dynamics And Control Of Process Systems 2004
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Author : Sirish Shah
language : en
Publisher: Elsevier
Release Date : 2005-06-10
Dynamics And Control Of Process Systems 2004 written by Sirish Shah and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-06-10 with Science categories.
Principles Of System Identification
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Author : Arun K. Tangirala
language : en
Publisher: CRC Press
Release Date : 2018-10-08
Principles Of System Identification written by Arun K. Tangirala and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-10-08 with Technology & Engineering categories.
Master Techniques and Successfully Build Models Using a Single Resource Vital to all data-driven or measurement-based process operations, system identification is an interface that is based on observational science, and centers on developing mathematical models from observed data. Principles of System Identification: Theory and Practice is an introductory-level book that presents the basic foundations and underlying methods relevant to system identification. The overall scope of the book focuses on system identification with an emphasis on practice, and concentrates most specifically on discrete-time linear system identification. Useful for Both Theory and Practice The book presents the foundational pillars of identification, namely, the theory of discrete-time LTI systems, the basics of signal processing, the theory of random processes, and estimation theory. It explains the core theoretical concepts of building (linear) dynamic models from experimental data, as well as the experimental and practical aspects of identification. The author offers glimpses of modern developments in this area, and provides numerical and simulation-based examples, case studies, end-of-chapter problems, and other ample references to code for illustration and training. Comprising 26 chapters, and ideal for coursework and self-study, this extensive text: Provides the essential concepts of identification Lays down the foundations of mathematical descriptions of systems, random processes, and estimation in the context of identification Discusses the theory pertaining to non-parametric and parametric models for deterministic-plus-stochastic LTI systems in detail Demonstrates the concepts and methods of identification on different case-studies Presents a gradual development of state-space identification and grey-box modeling Offers an overview of advanced topics of identification namely the linear time-varying (LTV), non-linear, and closed-loop identification Discusses a multivariable approach to identification using the iterative principal component analysis Embeds MATLAB® codes for illustrated examples in the text at the respective points Principles of System Identification: Theory and Practice presents a formal base in LTI deterministic and stochastic systems modeling and estimation theory; it is a one-stop reference for introductory to moderately advanced courses on system identification, as well as introductory courses on stochastic signal processing or time-series analysis.The MATLAB scripts and SIMULINK models used as examples and case studies in the book are also available on the author's website: http://arunkt.wix.com/homepage#!textbook/c397
Adaptive Systems In Control And Signal Processing 1989
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Author : T.S. Durrani
language : en
Publisher: Elsevier
Release Date : 2014-06-28
Adaptive Systems In Control And Signal Processing 1989 written by T.S. Durrani and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-06-28 with Technology & Engineering categories.
The Symposium covered three major areas: adaptive control, identification and signal processing. In all three, new developments were discussed covering both theoretical and applications research. Within the subject area of adaptive control the discussion centred around the challenges of robust control design to unmodelled dynamics, robust parameter estimation and enhanced performance from the estimator, while the papers on identification took the theme of it being a bridge between adaptive control and signal processing. The final area looked at two aspects of signal processing: recursive estimation and adaptive filters.
A Practical Guide To Geometric Regulation For Distributed Parameter Systems
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Author : Eugenio Aulisa
language : en
Publisher: CRC Press
Release Date : 2015-06-18
A Practical Guide To Geometric Regulation For Distributed Parameter Systems written by Eugenio Aulisa and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-06-18 with Mathematics categories.
A Practical Guide to Geometric Regulation for Distributed Parameter Systems provides an introduction to geometric control design methodologies for asymptotic tracking and disturbance rejection of infinite-dimensional systems. The book also introduces several new control algorithms inspired by geometric invariance and asymptotic attraction for a wide range of dynamical control systems. The first part of the book is devoted to regulation of linear systems, beginning with the mathematical setup, general theory, and solution strategy for regulation problems with bounded input and output operators. The book then considers the more interesting case of unbounded control and sensing. Mathematically, this case is more complicated and general theorems in this area have become available only recently. The authors also provide a collection of interesting linear regulation examples from physics and engineering. The second part focuses on regulation for nonlinear systems. It begins with a discussion of theoretical results, characterizing solvability of nonlinear regulator problems with bounded input and output operators. The book progresses to problems for which the geometric theory based on center manifolds does not directly apply. The authors show how the idea of attractive invariance can be used to solve a series of increasingly complex regulation problems. The book concludes with the solutions of challenging nonlinear regulation examples from physics and engineering.
Control And Optimisation Of Process Systems
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Author :
language : en
Publisher: Academic Press
Release Date : 2013-04-25
Control And Optimisation Of Process Systems written by and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-04-25 with Technology & Engineering categories.
Advances in Chemical Engineering was established in 1960 and is the definitive serial in the area. It is one of great importance to organic chemists, polymer chemists, and many biological scientists. Written by established authorities in the field, the comprehensive reviews combine descriptive chemistry and mechanistic insight and yield an understanding of how the chemistry drives the properties. This volume focuses on control and optimisation of process systems. - Advances in Chemical Engineering was established in 1960 and is the definitive serial in the area. It is one of great importance to organic chemists, polymer chemists, and many biological scientists - Written by established authorities in the field, the comprehensive reviews combine descriptive chemistry and mechanistic insight and yield an understanding of how the chemistry drives the properties - Focuses on control and optimization of process systems
Modeling And Control Of Dynamic Spatially Distributed Systems
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Author : Yizhi Wang
language : en
Publisher: Elsevier
Release Date : 2024-11-08
Modeling And Control Of Dynamic Spatially Distributed Systems written by Yizhi Wang and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-08 with Mathematics categories.
Modeling and Control of Dynamic Spatially Distributed Systems: Pharmaceutical Processes provides a balanced approach to help readers to get started quickly in the field of biochemical pharmaceuticals. From a theoretical perspective, dynamic spatially distributed systems are introduced to address their industrial applications. After identifying problems, the book provides readers with modeling and control system design techniques via a novel fuzzy set (class of objects with a continuum of grades of membership, to describe the grade of the object belonging to this fuzzy set) and intelligent computation methods.From an application perspective, the book provides a thorough understanding of Good Manufacture Practices (GMP) and the importance of identification, modelling, and intelligent control of such systems, reducing the test-and-error cost, and the R&D design time cycle of original drug development. - Provides an updated, supplemental knowledge to the body of distributed parameter systems - Covers control and analysis framework based on a state-space approach for a non-standard model from industrial complex systems - Presents a novel proposed fuzzy set and applies it to case studies to illustrate its feasibility - Includes a control system design solution from perspective of medicine production