Download or read book Simulation of Distributed parameter and Large scale Systems written by S. G. Tzafestas and published by . This book was released on 1980 with total page 380 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book EUROPEAN SIMULATION MEETING ON SIMULATION of DISTRIBUTED PARAMETER AND LARGE SCALE SYSTEMS written by and published by . This book was released on 1980 with total page 380 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Simulation of Distributed parameter and Large scale Systems written by S. G. Tzafestas and published by North-Holland. This book was released on 1980 with total page 400 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Simulation of Distributed parameter and Large scale Systems written by Spyros G. Tzafestas and published by . This book was released on 1980 with total page 380 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Modelling and Simulation of Large Scale Distributed Parameter Systems written by Issam Sullivan Strub-Brahimi and published by . This book was released on 2009 with total page 276 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Large Scale Systems written by and published by . This book was released on 1980 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Data driven Simulations of Distributed Systems written by David Alonso Barajas-Solano and published by . This book was released on 2013 with total page 106 pages. Available in PDF, EPUB and Kindle. Book excerpt: This dissertation deals with mathematical modeling of complex distributed systems whose parameters are heterogeneous and heavily under-specified by data. Such problems are ubiquitous in every field of science and engineering, where one or more deterministic models exist to describe a given phenomenon but only a limited number of measurements of a model's parameters and its state variables are available. The main focus of this dissertation is on parameter identification (PI) and uncertainty quantification (UQ). The first part of this dissertation deals with development and numerical implementation of an algorithm to compute accurately and efficiently Green's functions, which are often used in both PI and UQ analyses of linear systems with piece-wise continuous parameters. The second part of this dissertation explores the propagation of parametric uncertainty through a modeling process, in which quantities of interest are described by nonlinear elliptic and parabolic partial differential equations. We demonstrate that the variance of uncertain parameters (a measure of their uncertainty) strongly affects the regularity of a system's stochastic response, restricting the use of modern probabilistic UQ methods (e.g, polynomial chaos expansions and stochastic collocation methods) to low distributed parameters with low noise-to-signal ratios. High ratios adversely affect the stability and scalability of such methods. The third part of this dissertation deals with this issue by developing a multi-level Monte Carlo algorithm that outperforms direct Monte Carlo and allows for systematic treatment of different sources of bias in the computed estimators. In the final part of this dissertation we explore two PI strategies based on a Bayesian framework. The first strategy is to sample a posterior distribution using a generalized hybrid Monte Carlo (gHMC) method. We develop acceleration schemes for improving the efficiency of gHMC, and use them to estimate parameters in reactive transport systems with sparse concentration measurements. The second strategy is to compute the maximum a posteriori estimator of the configuration of spatially distributed, piece-wise continuous parameters by using a linearized functional minimization algorithm. Total variation regularization (TV) is employed as a prior on the parameter distribution, which allows one to capture large-scale features of system behavior from sparse measurements of both system parameters and transient system states.

Download or read book Control of Distributed Parameter Systems 1989 written by M. Amouroux and published by Elsevier. This book was released on 2014-06-28 with total page 533 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume presents state-of-the-art reports on the theory, and current and future applications of control of distributed parameter systems. The papers cover the progress not only in traditional methodology and pure research in control theory, but also the rapid growth of its importance for different applications. This title will be of interest to researchers working in the areas of mathematics, automatic control, computer science and engineering.

Download or read book Distributed Parameter Systems written by Tanehiro Futagami and published by North Holland. This book was released on 1989 with total page 638 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Modeling And Simulation Of Distributed Systems With Cd rom written by Alexander Kostin and published by World Scientific Publishing Company. This book was released on 2010-06-28 with total page 438 pages. Available in PDF, EPUB and Kindle. Book excerpt: CD-ROM with a simulation system and numerous solved models is attached to the book. Distributed systems are a continuously expanding area of computer science and computer engineering. This book addresses the need for literature on modeling and simulation techniques for distributed systems. For simulation modeling of distributed systems in the book, a specific class of extended Petri nets is used that allows to easily represent the fundamental processes of any distributed system. The book is intended, first of all, as a text for related graduate-level university courses on distributed systems in computer science and computer engineering. Other computer science and computer engineering courses would also find the book useful as a source of practical information for a broad community of those graduate students who are busy with simulation in their study and research. The book can be useful also to academics who give related graduate courses or deliver research-oriented modules for graduate students. Further, the book can be helpful to system architects and developers who apply modeling and simulation techniques as a step in the design and implementation of their systems. Containing a large number of models, with commented source texts and simulation results on the attached CD-ROM, it can also serve as valuable reference book for researchers who want to develop their own models in terms of Petri nets.

Download or read book Stochastic Large Scale Engineering Systems written by Spyros G. Tzafestas and published by CRC Press. This book was released on 2020-08-18 with total page 400 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on the class of large-scale stochastic systems, which has dominated the attention of many academic and research groups. It discusses distributed-sensor networks, decentralized detection theory, and econometric models with integrated and decentralized policymakers.

Download or read book Efficient Modeling and Control of Large Scale Systems written by Javad Mohammadpour and published by Springer Science & Business Media. This book was released on 2010-06-23 with total page 350 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Consistency Analysis Between Lumped and Distributed Parameter Models written by Randi Wang and published by . This book was released on 2021 with total page 155 pages. Available in PDF, EPUB and Kindle. Book excerpt: The system-level design represented by lumped parameter models (LPM) usually comes first for the high-value engineering design innovation at the functional level, followed by a geometric design represented by the distributed parameter models (DPM). Nevertheless, the non-unique mapping from lumped parameters to distributed shape and material properties leads to an ill-posed design problem. Before solving this problem, it is critical to have a well-defined concept of the "consistency" between LPM and DPM and find a systematic way to check the consistency. The simulations of LPM and DPM start from different model specifications whose correspondence is difficult to be established but is indispensable for comparing simulation results. Simulating these two models usually results in solutions that have different state dimensions hence cannot be directly compared. The only reliable way nowadays to compare model solutions is a posterior testing through point-to-point comparison of the solved variables, however, it is unfavorable due to the high computational cost for large-scale models, unstable and non-convergent simulation solutions, etc. In addition, lumped modeling languages such as Modelica, Simulink, etc. differ in syntax and informal semantics, which sets a barrier to find a unified way for model consistency analysis. We propose a general model consistency analysis framework to establish the correspondence of model specifications and solutions between LPM and DPM, which is independent of any modeling languages and tools, numerical methods and supports different types of physical models. The common semantics of the lumped parameter system is proposed and it can be in principle extended to spatially distributed systems. A simulation-free scheme is proposed to compare LPM and spatially-discretized DPM, where only the model specifications are used to provide a priori guarantees of the simulations. The scheme supports any spatial discretization methods in principle. In particular, a model order reduction technique that a priori guarantees the accuracy, stability, and convergence is adapted by the scheme to resolve the high time cost issue caused by large model scales. We demonstrate the validity, time efficacy, and generality of the scheme by applying it to analyze the model consistency of different single- and multi-physics problems.

Download or read book Spatio Temporal Modeling of Nonlinear Distributed Parameter Systems written by Han-Xiong Li and published by Springer Science & Business Media. This book was released on 2011-02-24 with total page 175 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Large Scale Simulation written by Dan Chen and published by CRC Press. This book was released on 2017-12-19 with total page 259 pages. Available in PDF, EPUB and Kindle. Book excerpt: Large-Scale Simulation: Models, Algorithms, and Applications gives you firsthand insight on the latest advances in large-scale simulation techniques. Most of the research results are drawn from the authors’ papers in top-tier, peer-reviewed, scientific conference proceedings and journals. The first part of the book presents the fundamentals of large-scale simulation, including high-level architecture and runtime infrastructure. The second part covers middleware and software architecture for large-scale simulations, such as decoupled federate architecture, fault tolerant mechanisms, grid-enabled simulation, and federation communities. In the third part, the authors explore mechanisms—such as simulation cloning methods and algorithms—that support quick evaluation of alternative scenarios. The final part describes how distributed computing technologies and many-core architecture are used to study social phenomena. Reflecting the latest research in the field, this book guides you in using and further researching advanced models and algorithms for large-scale distributed simulation. These simulation tools will help you gain insight into large-scale systems across many disciplines.

Download or read book Real time Distributed Simulation of Partial Differential Equations written by Sheng Feng Zhou and published by . This book was released on 2004 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recent advances in high speed network technology has allowed clusters of computers to be linked together to form distributed computing networks capable of real-time simulation of large scale complex mechanical systems. Real-time distributed simulation can potentially be used to develop highly detailed virtual prototypes for testing and optimization in automotive, aerospace, and manufacturing industries. Industrial applications, however, have been limited until now due to lack of systematic methods for constructing real-time distributed simulations. This thesis investigates new methods for real-time distributed simulation of partial differential equations (PDEs). This represents an important class of mechanical systems that in most cases requires multiple computers in order for simulations to proceed in real-time. The focus is on the wave equation since it has well known properties and it is representative of many types of PDE systems. The proposed approach uses an innovative time division multiple access (TDMA) real-time communication protocol based on gigabit Ethernet. Equation distribution and real-time simulation algorithms based on finite-difference approximations are developed for both explicit and implicit integration methods. Together, these results provide a more systematic approach for real-time distributed simulation of PDE systems.

Download or read book Simulation of Control Systems written by F. Breitenecker and published by Elsevier. This book was released on 2014-06-28 with total page 475 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume investigates simulation and computer-aided control system designs. The book covers the use of models and program packages, their theoretical aspects and practical applications, and uses illustrative case studies to give a comprehensive view of this fast developing science.