Efficient Modeling And Control Of Large Scale Systems

Author : Javad Mohammadpour,Karolos M. Grigoriadis
Publisher : Springer Science & Business Media
Page : 350 pages
File Size : 49,8 Mb
Release : 2010-06-23
Category : Technology & Engineering
ISBN : 9781441957573

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Efficient Modeling and Control of Large-Scale Systems by Javad Mohammadpour,Karolos M. Grigoriadis Pdf

Complexity and dynamic order of controlled engineering systems is constantly increasing. Complex large scale systems (where "large" reflects the system’s order and not necessarily its physical size) appear in many engineering fields, such as micro-electromechanics, manufacturing, aerospace, civil engineering and power engineering. Modeling of these systems often result in very high-order models imposing great challenges to the analysis, design and control problems. "Efficient Modeling and Control of Large-Scale Systems" compiles state-of-the-art contributions on recent analytical and computational methods for addressing model reduction, performance analysis and feedback control design for such systems. Also addressed at length are new theoretical developments, novel computational approaches and illustrative applications to various fields, along with: - An interdisciplinary focus emphasizing methods and approaches that can be commonly applied in various engineering fields -Examinations of applications in various fields including micro-electromechanical systems (MEMS), manufacturing processes, power networks, traffic control "Efficient Modeling and Control of Large-Scale Systems" is an ideal volume for engineers and researchers working in the fields of control and dynamic systems.

Author : Mohammad Jamshidi
Publisher : North Holland
Page : 552 pages
File Size : 55,7 Mb
Release : 1983
Category : Business & Economics
ISBN : UOM:39015004517721

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Large-scale Systems by Mohammad Jamshidi Pdf

Author : Christopher Beattie,Peter Benner,Mark Embree,Serkan Gugercin,Sanda Lefteriu
Publisher : Springer Nature
Page : 462 pages
File Size : 55,8 Mb
Release : 2022-06-09
Category : Science
ISBN : 9783030951573

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Realization and Model Reduction of Dynamical Systems by Christopher Beattie,Peter Benner,Mark Embree,Serkan Gugercin,Sanda Lefteriu Pdf

This book celebrates Professor Thanos Antoulas's 70th birthday, marking his fundamental contributions to systems and control theory, especially model reduction and, more recently, data-driven modeling and system identification. Model reduction is a prominent research topic with wide ranging scientific and engineering applications.

Author : Peter Benner,Tobias Breiten,Heike Faßbender,Michael Hinze,Tatjana Stykel,Ralf Zimmermann
Publisher : Springer Nature
Page : 415 pages
File Size : 52,6 Mb
Release : 2021-08-26
Category : Mathematics
ISBN : 9783030729837

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Model Reduction of Complex Dynamical Systems by Peter Benner,Tobias Breiten,Heike Faßbender,Michael Hinze,Tatjana Stykel,Ralf Zimmermann Pdf

This contributed volume presents some of the latest research related to model order reduction of complex dynamical systems with a focus on time-dependent problems. Chapters are written by leading researchers and users of model order reduction techniques and are based on presentations given at the 2019 edition of the workshop series Model Reduction of Complex Dynamical Systems – MODRED, held at the University of Graz in Austria. The topics considered can be divided into five categories: system-theoretic methods, such as balanced truncation, Hankel norm approximation, and reduced-basis methods; data-driven methods, including Loewner matrix and pencil-based approaches, dynamic mode decomposition, and kernel-based methods; surrogate modeling for design and optimization, with special emphasis on control and data assimilation; model reduction methods in applications, such as control and network systems, computational electromagnetics, structural mechanics, and fluid dynamics; and model order reduction software packages and benchmarks. This volume will be an ideal resource for graduate students and researchers in all areas of model reduction, as well as those working in applied mathematics and theoretical informatics.

Author : Rudibert King
Publisher : Springer
Page : 405 pages
File Size : 48,8 Mb
Release : 2014-09-13
Category : Technology & Engineering
ISBN : 9783319119670

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Active Flow and Combustion Control 2014 by Rudibert King Pdf

The book reports on the latest theoretical and experimental advances in the field of active flow and combustion control. It covers new developments in actuator technology and sensing, in robust and optimal open- and closed-loop control, as well as in model reduction for control. It collects contributions presented during the third edition of the Active Flow and Combustion Control conference, held in September 10-12, 2014 at the Technische Universität Berlin (Germany). This conference, as well as the research presented in the book, have been supported by the collaborative research center SFB 1029 -Substantial efficiency increase in gas turbines through direct use of coupled unsteady combustion and flow dynamics, funded by the DFG (German Research Foundation).

Author : Zhaojun Bai
Publisher : World Scientific
Page : 146 pages
File Size : 50,8 Mb
Release : 2015-09-04
Category : Mathematics
ISBN : 9789814675772

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Matrix Functions and Matrix Equations by Zhaojun Bai Pdf

"Matrix functions and matrix equations are widely used in science, engineering and social sciences due to the succinct and insightful way in which they allow problems to be formulated and solutions to be expressed. This book covers materials relevant to advanced undergraduate and graduate courses in numerical linear algebra and scientific computing. It is also well-suited for self-study. The broad content makes it convenient as a general reference to the subjects."--

Author : Peter Benner,Albert Cohen,Mario Ohlberger,Karen Willcox
Publisher : SIAM
Page : 412 pages
File Size : 53,5 Mb
Release : 2017-07-06
Category : Science
ISBN : 9781611974829

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Model Reduction and Approximation by Peter Benner,Albert Cohen,Mario Ohlberger,Karen Willcox Pdf

Many physical, chemical, biomedical, and technical processes can be described by partial differential equations or dynamical systems. In spite of increasing computational capacities, many problems are of such high complexity that they are solvable only with severe simplifications, and the design of efficient numerical schemes remains a central research challenge. This book presents a tutorial introduction to recent developments in mathematical methods for model reduction and approximation of complex systems. Model Reduction and Approximation: Theory and Algorithms contains three parts that cover (I) sampling-based methods, such as the reduced basis method and proper orthogonal decomposition, (II) approximation of high-dimensional problems by low-rank tensor techniques, and (III) system-theoretic methods, such as balanced truncation, interpolatory methods, and the Loewner framework. It is tutorial in nature, giving an accessible introduction to state-of-the-art model reduction and approximation methods. It also covers a wide range of methods drawn from typically distinct communities (sampling based, tensor based, system-theoretic).?? This book is intended for researchers interested in model reduction and approximation, particularly graduate students and young researchers.

Author : Andreas Michael Barthlen
Publisher : Cuvillier Verlag
Page : 134 pages
File Size : 45,5 Mb
Release : 2016-09-30
Category : Mathematics
ISBN : 9783736983618

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Stability Preservation for Parametric Model Order Reduction by Matrix Interpolation by Andreas Michael Barthlen Pdf

In dieser Arbeit wird das Problem der Stabilitätserhaltung für parametrische Modellreduktion mittels Matrixinterpolation untersucht. Hierfür werden die benötigten mathematischen Grundlagen aus der Systemtheorie eingeführt. Es werden darüber hinaus die beiden bekanntesten Modellreduktionsverfahren für lineare Systeme betrachtet und ein kurzer Überblick über verschiedene relevante Methoden zur parametrischen Modellreduktion gegeben. Die titelgebende Matrixinterpolation wird im Detail analysiert, und es werden die verschiedenen Schwierigkeiten des Verfahrens, als auch existierende Lösungen aus der Literatur, untersucht. Auf diesen aufbauend wird ein Verfahren zur Erweiterung von lokalen Unterräumen vorgeschlagen, während für die aus der Literatur bekannten Verfahren zur Stabilitätserhaltung mögliche Probleme aufgezeigt und neue theoretische Resultate gegeben werden. Es wird als Alternative ein neuartiges, flexibles Verfahren zur Stabilitätserhaltung vorgeschlagen, dessen potenzielle Vor- und Nachteile für zwei numerische Beispiele gezeigt werden. In this thesis the problem of stability preservation for parametric model order reduction by matrix interpolation is investigated. For this purpose the necessary mathematical fundamentals from system theory are given. Furthermore the two most popular model order reduction methods for linear systems are looked at and a brief introduction to various relevant methods for parametric model order reduction is given. The title giving matrix interpolation is analyzed in detail and its various problems, as well as solutions from literature, are studied. Based on these a procedure for the extension of local subspaces is given, whereas for the stability preservation methods known from literature possible problems are shown and new theoretical results are given. As an alternative a novel, flexible method for stability preservation is proposed and its potential pros and cons are shown for two numerical examples.

Author : Alachew Mengist
Publisher : Linköping University Electronic Press
Page : 95 pages
File Size : 40,9 Mb
Release : 2019-08-21
Category : Electronic
ISBN : 9789176850367

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Methods and Tools for Efficient Model-Based Development of Cyber-Physical Systems with Emphasis on Model and Tool Integration by Alachew Mengist Pdf

Model-based tools and methods are playing important roles in the design and analysis of cyber-physical systems before building and testing physical prototypes. The development of increasingly complex CPSs requires the use of multiple tools for different phases of the development lifecycle, which in turn depends on the ability of the supporting tools to interoperate. However, currently no vendor provides comprehensive end-to-end systems engineering tool support across the entire product lifecycle, and no mature solution currently exists for integrating different system modeling and simulation languages, tools and algorithms in the CPSs design process. Thus, modeling and simulation tools are still used separately in industry. The unique challenges in integration of CPSs are a result of the increasing heterogeneity of components and their interactions, increasing size of systems, and essential design requirements from various stakeholders. The corresponding system development involves several specialists in different domains, often using different modeling languages and tools. In order to address the challenges of CPSs and facilitate design of system architecture and design integration of different models, significant progress needs to be made towards model-based integration of multiple design tools, languages, and algorithms into a single integrated modeling and simulation environment. In this thesis we present the need for methods and tools with the aim of developing techniques for numerically stable co-simulation, advanced simulation model analysis, simulation-based optimization, and traceability capability, and making them more accessible to the model-based cyber physical product development process, leading to more efficient simulation. In particular, the contributions of this thesis are as follows: 1) development of a model-based dynamic optimization approach by integrating optimization into the model development process; 2) development of a graphical co-modeling editor and co-simulation framework for modeling, connecting, and unified system simulation of several different modeling tools using the TLM technique; 3) development of a tool-supported method for multidisciplinary collaborative modeling and traceability support throughout the development process for CPSs; 4) development of an advanced simulation modeling analysis tool for more efficient simulation.

Author : Andrew P. Sage
Publisher : McGraw-Hill Companies
Page : 472 pages
File Size : 50,7 Mb
Release : 1977
Category : Technology & Engineering
ISBN : UOM:39015006425147

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Methodology for Large-scale Systems by Andrew P. Sage Pdf

Author : MengChu Zhou,Han-Xiong Li,Margot Weijnen
Publisher : John Wiley & Sons
Page : 888 pages
File Size : 51,6 Mb
Release : 2015-03-30
Category : Technology & Engineering
ISBN : 9781119036920

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Contemporary Issues in Systems Science and Engineering by MengChu Zhou,Han-Xiong Li,Margot Weijnen Pdf

Various systems science and engineering disciplines are covered and challenging new research issues in these disciplines are revealed. They will be extremely valuable for the readers to search for some new research directions and problems. Chapters are contributed by world-renowned systems engineers Chapters include discussions and conclusions Readers can grasp each event holistically without having professional expertise in the field

Author : Magdi S. Mahmoud,Madan G. Singh
Publisher : Pergamon
Page : 326 pages
File Size : 51,6 Mb
Release : 1981-01-01
Category : Mathematics
ISBN : 0080273130

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Large Scale Systems Modelling by Magdi S. Mahmoud,Madan G. Singh Pdf

Author : Heinz Unbehauen
Publisher : EOLSS Publications
Page : 434 pages
File Size : 50,9 Mb
Release : 2009-10-11
Category : Electronic
ISBN : 9781848261433

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CONTROL SYSTEMS, ROBOTICS AND AUTOMATION – Volume IV by Heinz Unbehauen Pdf

This Encyclopedia of Control Systems, Robotics, and Automation is a component of the global Encyclopedia of Life Support Systems EOLSS, which is an integrated compendium of twenty one Encyclopedias. This 22-volume set contains 240 chapters, each of size 5000-30000 words, with perspectives, applications and extensive illustrations. It is the only publication of its kind carrying state-of-the-art knowledge in the fields of Control Systems, Robotics, and Automation and is aimed, by virtue of the several applications, at the following five major target audiences: University and College Students, Educators, Professional Practitioners, Research Personnel and Policy Analysts, Managers, and Decision Makers and NGOs.

Author : Reggie Davidrajuh
Publisher : Springer
Page : 138 pages
File Size : 53,6 Mb
Release : 2018-02-28
Category : Technology & Engineering
ISBN : 9783319731025

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Modeling Discrete-Event Systems with GPenSIM by Reggie Davidrajuh Pdf

Modeling Discrete-Event Systems with GPenSIM describes the design and applications of General Purpose Petri Net Simulator (GPenSIM), which is a software tool for modeling, simulation, and performance analysis of discrete-event systems. The brief explains the principles of modelling discrete-event systems, as well as the design and applications of GPenSIM. It is based on the author’s lectures that were given on “modeling, simulation, and performance analysis of discrete event systems”. The brief uses GPenSIM to enable the efficient modeling of complex and large-scale discrete-event systems. GPenSIM, which is based on MATLAB®, is designed to allow easy integration of Petri net models with a vast number of toolboxes that are available on the MATLAB®. The book offers an approach for developing models that can interact with the external environment; this will help readers to solve problems in industrial diverse fields. These problems include: airport capacity evaluation for aviation authorities; finding bottlenecks in supply chains; scheduling drilling operations in the oil and gas industry; and optimal scheduling of jobs in grid computing. This brief is of interest to researchers working on the modeling, simulation and performance evaluation of discrete-event systems, as it shows them the design and applications of an efficient modeling package. Since the book also explains the basic principles of modeling discrete-event systems in a step-by-step manner, it is also of interest to final-year undergraduate and postgraduate students.

Author : Rajeev Jaiman,Guojun Li,Amir Chizfahm
Publisher : Springer Nature
Page : 1028 pages
File Size : 50,6 Mb
Release : 2023-06-10
Category : Technology & Engineering
ISBN : 9789811985782

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Mechanics of Flow-Induced Vibration by Rajeev Jaiman,Guojun Li,Amir Chizfahm Pdf

This book discusses various passive and active techniques for controlling unsteady flow dynamics and associated coupled mechanics of fluid-structure interaction. Coupled multiphysics and multidomain simulations are emerging and challenging research areas, which have received significant attention during the past decade. One of the most common multiphysics and multidomain problems is fluid-structure interaction (FSI), i.e., the study of coupled physical systems involving fluid and a structure that have a mechanical influence on each other. Regardless of the application area, the investigation toward modeling of fluid-structure interaction and the underlying mechanisms in dealing with coupled fluid-structure instability with real-world applications remains a challenge to scientists and engineers. This book is designed for students and researchers who seek knowledge of computational modeling and control strategies for fluid-structure interaction. Specifically, this book provides a comprehensive review of the underlying unsteady physics and coupled mechanical aspects of the fluid-structure interaction of freely vibrating bluff bodies, the self-induced flapping of thin flexible structures, and aeroelasticity of shell structures. Understanding flow-induced loads and vibrations can lead to safer and cost-effective structures, especially for light and high-aspect ratio structures with increased flexibility and harsh environmental conditions. Using the body-fitted and moving mesh formulations, the physical insights associated with structure-to-fluid mass ratios, Reynolds number, nonlinear structural deformation, proximity interference, near-wall contacts, free-surface, and other interacting physical fields are covered in this book. In conjunction with the control techniques, data-driven model reduction approaches based on subspace projection and deep neural calculus are covered for low-dimensional modeling of unsteady fluid-structure interaction.