Robust Modelling And Simulation

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Robust Modelling and Simulation

Author : Idalia Flores De La Mota
Publisher : Springer
ISBN 13 : 3319533215
Total Pages : 173 pages
Book Rating : 4.3/5 (195 download)

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Book Synopsis Robust Modelling and Simulation by : Idalia Flores De La Mota

Download or read book Robust Modelling and Simulation written by Idalia Flores De La Mota and published by Springer. This book was released on 2017-03-28 with total page 173 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents for the first time a methodology that combines the power of a modelling formalism such as colored petri nets with the flexibility of a discrete event program such as SIMIO. Industrial practitioners have seen the growth of simulation as a methodology for tacking problems in which variability is the common denominator. Practically all industrial systems, from manufacturing to aviation are considered stochastic systems. Different modelling techniques have been developed as well as mathematical techniques for formalizing the cause-effect relationships in industrial and complex systems. The methodology in this book illustrates how complexity in modelling can be tackled by the use of coloured petri nets, while at the same time the variability present in systems is integrated in a robust fashion. The book can be used as a concise guide for developing robust models, which are able to efficiently simulate the cause-effect relationships present in complex industrial systems without losing the simulation power of discrete-event simulation. In addition SIMIO’s capabilities allows integration of features that are becoming more and more important for the success of projects such as animation, virtual reality, and geographical information systems (GIS).

Robust Modeling and Planning

Author : Lavanya Marla
Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (137 download)

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Book Synopsis Robust Modeling and Planning by : Lavanya Marla

Download or read book Robust Modeling and Planning written by Lavanya Marla and published by . This book was released on 2020 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Optimization under uncertainty has been a well-studied field, with renewed interest generated in this field in the past four decades. This paper is both practical and expository, its purpose is to: discuss the process of generating robust solutions, highlight issues that arise in practice, and discuss ways to address such issues. For illustrative purposes, we study three different, commonly adopted, approaches for optimization under uncertainty (chance-constrained programming, robust optimization and conditional value at risk); and apply these approaches to three real-world application-based case studies. Our case studies are chosen to span a variety of problem characteristics. For each case study, we discuss the applicability of each of the three approaches, practical issues that arose during application, and robustness and further characteristics of the subsequent solutions. We point out associated advantages and limitations, and illustrate the gap between the theoretical and actual performance of these approaches for each case study. We also discuss how some of the discovered limitations can be overcome using extensions of the approaches or through a better understanding of the data. We conclude by summarizing common and generalizable insights obtained across the three case studies. Our findings suggest the effectiveness of solutions is dependent on: the methods, the size of the problem, the underlying pattern of uncertainty in data, and the metrics of interest. While we provide some guidelines to identify the most suitable approach to a given problem, our experience matches theory to suggest that under carefully tuned parameters accompanied by simulation, the different approaches can generate results that are similar and provide comparable tradeoffs between the mean and robustness metric. However, this could also require considerable tuning especially with experience, and we provide some guidelines to achieve such results. This illustrates that generating high quality robust solutions is both an art and a science.

RCOG Operative Birth Simulation Training [ROBuST] Course Manual

Author : George Attilakos
Publisher : Cambridge University Press
ISBN 13 : 100901126X
Total Pages : 165 pages
Book Rating : 4.0/5 (9 download)

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Book Synopsis RCOG Operative Birth Simulation Training [ROBuST] Course Manual by : George Attilakos

Download or read book RCOG Operative Birth Simulation Training [ROBuST] Course Manual written by George Attilakos and published by Cambridge University Press. This book was released on 2024-06-30 with total page 165 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive, evidence-based guide to assisted vaginal birth, accompanying the RCOG Assisted Birth Simulation Training (ROBuST) course.

Process Modelling and Simulation

Author : César de Prada
Publisher : MDPI
ISBN 13 : 3039214551
Total Pages : 298 pages
Book Rating : 4.0/5 (392 download)

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Book Synopsis Process Modelling and Simulation by : César de Prada

Download or read book Process Modelling and Simulation written by César de Prada and published by MDPI. This book was released on 2019-09-23 with total page 298 pages. Available in PDF, EPUB and Kindle. Book excerpt: Since process models are nowadays ubiquitous in many applications, the challenges and alternatives related to their development, validation, and efficient use have become more apparent. In addition, the massive amounts of both offline and online data available today open the door for new applications and solutions. However, transforming data into useful models and information in the context of the process industry or of bio-systems requires specific approaches and considerations such as new modelling methodologies incorporating the complex, stochastic, hybrid and distributed nature of many processes in particular. The same can be said about the tools and software environments used to describe, code, and solve such models for their further exploitation. Going well beyond mere simulation tools, these advanced tools offer a software suite built around the models, facilitating tasks such as experiment design, parameter estimation, model initialization, validation, analysis, size reduction, discretization, optimization, distributed computation, co-simulation, etc. This Special Issue collects novel developments in these topics in order to address the challenges brought by the use of models in their different facets, and to reflect state of the art developments in methods, tools and industrial applications.

Probabilistic Design for Optimization and Robustness for Engineers

Author : Bryan Dodson
Publisher : John Wiley & Sons
ISBN 13 : 1118796306
Total Pages : 267 pages
Book Rating : 4.1/5 (187 download)

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Book Synopsis Probabilistic Design for Optimization and Robustness for Engineers by : Bryan Dodson

Download or read book Probabilistic Design for Optimization and Robustness for Engineers written by Bryan Dodson and published by John Wiley & Sons. This book was released on 2014-07-21 with total page 267 pages. Available in PDF, EPUB and Kindle. Book excerpt: Probabilistic Design for Optimization and Robustness: Presents the theory of modeling with variation using physical models and methods for practical applications on designs more insensitive to variation. Provides a comprehensive guide to optimization and robustness for probabilistic design. Features examples, case studies and exercises throughout. The methods presented can be applied to a wide range of disciplines such as mechanics, electrics, chemistry, aerospace, industry and engineering. This text is supported by an accompanying website featuring videos, interactive animations to aid the readers understanding.

Robust Control Design with MATLAB®

Author : Da-Wei Gu
Publisher : Springer Science & Business Media
ISBN 13 : 1447146824
Total Pages : 473 pages
Book Rating : 4.4/5 (471 download)

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Book Synopsis Robust Control Design with MATLAB® by : Da-Wei Gu

Download or read book Robust Control Design with MATLAB® written by Da-Wei Gu and published by Springer Science & Business Media. This book was released on 2014-07-08 with total page 473 pages. Available in PDF, EPUB and Kindle. Book excerpt: Robust Control Design with MATLAB® (second edition) helps the student to learn how to use well-developed advanced robust control design methods in practical cases. To this end, several realistic control design examples from teaching-laboratory experiments, such as a two-wheeled, self-balancing robot, to complex systems like a flexible-link manipulator are given detailed presentation. All of these exercises are conducted using MATLAB® Robust Control Toolbox 3, Control System Toolbox and Simulink®. By sharing their experiences in industrial cases with minimum recourse to complicated theories and formulae, the authors convey essential ideas and useful insights into robust industrial control systems design using major H-infinity optimization and related methods allowing readers quickly to move on with their own challenges. The hands-on tutorial style of this text rests on an abundance of examples and features for the second edition: • rewritten and simplified presentation of theoretical and methodological material including original coverage of linear matrix inequalities; • new Part II forming a tutorial on Robust Control Toolbox 3; • fresh design problems including the control of a two-rotor dynamic system; and • end-of-chapter exercises. Electronic supplements to the written text that can be downloaded from extras.springer.com/isbn include: • M-files developed with MATLAB® help in understanding the essence of robust control system design portrayed in text-based examples; • MDL-files for simulation of open- and closed-loop systems in Simulink®; and • a solutions manual available free of charge to those adopting Robust Control Design with MATLAB® as a textbook for courses. Robust Control Design with MATLAB® is for graduate students and practising engineers who want to learn how to deal with robust control design problems without spending a lot of time in researching complex theoretical developments.

Robust Simulation for Mega-Risks

Author : Craig E. Taylor
Publisher : Springer
ISBN 13 : 3319194135
Total Pages : 179 pages
Book Rating : 4.3/5 (191 download)

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Book Synopsis Robust Simulation for Mega-Risks by : Craig E. Taylor

Download or read book Robust Simulation for Mega-Risks written by Craig E. Taylor and published by Springer. This book was released on 2015-11-11 with total page 179 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces a new way of analyzing, measuring and thinking about mega-risks, a “paradigm shift” that moves from single-solutions to multiple competitive solutions and strategies. “Robust simulation” is a statistical approach that demonstrates future risk through simulation of a suite of possible answers. To arrive at this point, the book systematically walks through the historical statistical methods for evaluating risks. The first chapters deal with three theories of probability and statistics that have been dominant in the 20th century, along with key mathematical issues and dilemmas. The book then introduces “robust simulation” which solves the problem of measuring the stability of simulated losses, incorporates outliers, and simulates future risk through a suite of possible answers and stochastic modeling of unknown variables. This book discusses various analytical methods for utilizing divergent solutions in making pragmatic financial and risk-mitigation decisions. The book emphasizes the importance of flexibility and attempts to demonstrate that alternative credible approaches are helpful and required in understanding a great many phenomena.

Modeling and Simulation Fundamentals

Author : John A. Sokolowski
Publisher : John Wiley & Sons
ISBN 13 : 0470590610
Total Pages : 453 pages
Book Rating : 4.4/5 (75 download)

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Book Synopsis Modeling and Simulation Fundamentals by : John A. Sokolowski

Download or read book Modeling and Simulation Fundamentals written by John A. Sokolowski and published by John Wiley & Sons. This book was released on 2010-07-13 with total page 453 pages. Available in PDF, EPUB and Kindle. Book excerpt: An insightful presentation of the key concepts, paradigms, and applications of modeling and simulation Modeling and simulation has become an integral part of research and development across many fields of study, having evolved from a tool to a discipline in less than two decades. Modeling and Simulation Fundamentals offers a comprehensive and authoritative treatment of the topic and includes definitions, paradigms, and applications to equip readers with the skills needed to work successfully as developers and users of modeling and simulation. Featuring contributions written by leading experts in the field, the book's fluid presentation builds from topic to topic and provides the foundation and theoretical underpinnings of modeling and simulation. First, an introduction to the topic is presented, including related terminology, examples of model development, and various domains of modeling and simulation. Subsequent chapters develop the necessary mathematical background needed to understand modeling and simulation topics, model types, and the importance of visualization. In addition, Monte Carlo simulation, continuous simulation, and discrete event simulation are thoroughly discussed, all of which are significant to a complete understanding of modeling and simulation. The book also features chapters that outline sophisticated methodologies, verification and validation, and the importance of interoperability. A related FTP site features color representations of the book's numerous figures. Modeling and Simulation Fundamentals encompasses a comprehensive study of the discipline and is an excellent book for modeling and simulation courses at the upper-undergraduate and graduate levels. It is also a valuable reference for researchers and practitioners in the fields of computational statistics, engineering, and computer science who use statistical modeling techniques.

Modelling and Simulation in Science, Technology and Engineering Mathematics

Author : Surajit Chattopadhyay
Publisher : Springer
ISBN 13 : 3319748084
Total Pages : 666 pages
Book Rating : 4.3/5 (197 download)

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Book Synopsis Modelling and Simulation in Science, Technology and Engineering Mathematics by : Surajit Chattopadhyay

Download or read book Modelling and Simulation in Science, Technology and Engineering Mathematics written by Surajit Chattopadhyay and published by Springer. This book was released on 2018-10-24 with total page 666 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume contains the peer-reviewed proceedings of the International Conference on Modelling and Simulation (MS-17), held in Kolkata, India, 4th-5th November 2017, organized by the Association for the Advancement of Modelling and Simulation Techniques in Enterprises (AMSE, France) in association with the Institution of Engineering Technology (IET, UK), Kolkata Network. The contributions contained here showcase some recent advances in modelling and simulation across various aspects of science and technology. This book brings together articles describing applications of modelling and simulation techniques in fields as diverse as physics, mathematics, electrical engineering, industrial electronics, control, automation, power systems, energy and robotics. It includes a special section on mechanical, fuzzy, optical and opto-electronic control of oscillations. It provides a snapshot of the state of the art in modelling and simulation methods and their applications, and will be of interest to researchers and engineering professionals from industry, academia and research organizations.

Investigation Into the Robust Modelling, Control and Simulation of a Two-DOF Gimbal Platform for Airborne Applications

Author : Buhle Wilfred Bujela
Publisher :
ISBN 13 :
Total Pages : 344 pages
Book Rating : 4.:/5 (87 download)

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Book Synopsis Investigation Into the Robust Modelling, Control and Simulation of a Two-DOF Gimbal Platform for Airborne Applications by : Buhle Wilfred Bujela

Download or read book Investigation Into the Robust Modelling, Control and Simulation of a Two-DOF Gimbal Platform for Airborne Applications written by Buhle Wilfred Bujela and published by . This book was released on 2013 with total page 344 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Advances in Intelligent Modelling and Simulation

Author : Aleksander Byrski
Publisher : Springer
ISBN 13 : 364228888X
Total Pages : 377 pages
Book Rating : 4.6/5 (422 download)

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Book Synopsis Advances in Intelligent Modelling and Simulation by : Aleksander Byrski

Download or read book Advances in Intelligent Modelling and Simulation written by Aleksander Byrski and published by Springer. This book was released on 2012-04-25 with total page 377 pages. Available in PDF, EPUB and Kindle. Book excerpt: The human capacity to abstract complex systems and phenomena into simplified models has played a critical role in the rapid evolution of our modern industrial processes and scienti c research. As a science and an art, Modelling and Simulation have been one of the core enablers of this remarkable human trace, and have become a topic of great importance for researchers and practitioners. This book was created to compile some of the most recent concepts, advances, challenges and ideas associated with Intelligent Modelling and Simulation frameworks, tools and applications. The rst chapter discusses the important aspects of a human interaction and the correct interpretation of results during simulations. The second chapter gets to the heart of the analysis of entrepreneurship by means of agent-based modelling and simulations. The following three chapters bring together the central theme of simulation frameworks, rst describing an agent-based simulation framework, then a simulator for electrical machines, and nally an airborne network emulation environment. The two subsequent chapters discuss power distribution networks from different points of view|anticipation and optimization of multi-echelon inventory policy. After that, the book includes also a group of chapters discussing the mathematical modelling supported by veri cation simulations, and a set of chapters with models synthesised by means of arti cial intelligence tools and complex automata framework. Lastly, the book includes a chapter introducing the use of graph-grammar model for generation of threedimensional computational meshes and a chapter focused on the experimental and computational results regarding simulation of aero engine vortexes. Authors believe, that this book is a valuable reference to researchers and practitioners in the eld, as well as an inspiration to those interested in the area of Intelligent Modelling and Simulation.

Intelligent Systems Modeling and Simulation III

Author : Samsul Ariffin Abdul Karim
Publisher : Springer Nature
ISBN 13 : 3031673174
Total Pages : 522 pages
Book Rating : 4.0/5 (316 download)

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Book Synopsis Intelligent Systems Modeling and Simulation III by : Samsul Ariffin Abdul Karim

Download or read book Intelligent Systems Modeling and Simulation III written by Samsul Ariffin Abdul Karim and published by Springer Nature. This book was released on with total page 522 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Robust Image-based Modeling and Simulation in Biomechanics

Author : Omar Mohamed Hafez
Publisher :
ISBN 13 : 9780355969689
Total Pages : pages
Book Rating : 4.9/5 (696 download)

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Book Synopsis Robust Image-based Modeling and Simulation in Biomechanics by : Omar Mohamed Hafez

Download or read book Robust Image-based Modeling and Simulation in Biomechanics written by Omar Mohamed Hafez and published by . This book was released on 2018 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Image-based modeling and simulation has become an important analytic and predictive tool for patient-specific medical applications, including large-scale in silico patient studies, optimized medical device design, and custom surgical guides and implants via additive manufacturing. The pipeline for patient-specific modeling and simulation is: image acquisition, image segmentation, surface generation, mesh generation, physics-based modeling and simulation, and clinical application. This research establishes a semi-automatic workflow for these steps, which includes a novel image-based meshing tool Shabaka. The toolchain is demonstrated by modeling the mechanics of a beating human heart based on magnetic resonance imaging (MRI) data. The Shabaka workflow ensures robust execution of each step of the pipeline. Medical images are processed and segmented using thresholding, region-growing, and manual techniques. Watertight surface meshes are extracted from image masks using a novel Voronoi-based algorithm. For scientific computing purposes, surface meshes are supplied either to tetrahedral meshing routines for conventional finite element approaches, or to a robust polyhedral mesh generation tool for a novel polyhedral finite element approach. A polyhedral finite element code is explored, that retains most of the favorable properties of conventional finite element methods, while reducing the system size by up to an order of magnitude compared to conventional techniques for the same input surface. In conjunction with a cardiac simulation code, the workflow is utilized to model finite-deformation cardiac mechanics. A quadratic tetrahedral mesh is generated from MRI data of the human heart ventricles. The constitutive law is comprised of an incompressible orthotropic hyperelastic stress response for the myocardium, plus an electrical activation-dependent active stress for the muscle fibers. Muscle fiber orientations are generated using a rule-based approach. Electrical activation times are read from a coupled electrophysiology code. A lumped circulatory model is used to impose time-dependent ventricular volume constraints. Simulation results are presented. The same mechanics are also implemented for the polyhedral finite element mesh, and preliminary verification results are presented. The toolchain used in performing image-based cardiac mechanics simulations makes important improvements to the speed and robustness of image-based modeling techniques. As efforts continue to mature, so too does the promise for simulation to impact and improve healthcare.

Systems Modeling and Simulation

Author : Koji Koyamada
Publisher : Springer Science & Business Media
ISBN 13 : 4431490221
Total Pages : 472 pages
Book Rating : 4.4/5 (314 download)

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Book Synopsis Systems Modeling and Simulation by : Koji Koyamada

Download or read book Systems Modeling and Simulation written by Koji Koyamada and published by Springer Science & Business Media. This book was released on 2007-07-05 with total page 472 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Asia Simulation Conference 2006 (JSST 2006) was aimed at exploring challenges in methodologies for modeling, control and computation in simu lation, and their applications in social, economic, and financial fields as well as established scientific and engineering solutions. The conference was held in Tokyo from October 30 to November 1, 2006, and included keynote speeches presented by technology and industry leaders, technical sessions, organized sessions, poster sessions, and vendor exhibits. It was the seventh annual inter national conference on system simulation and scientific computing, which is organized by the Japan Society for Simulation Technology (JSST), the Chi nese Association for System Simulation (CASS), and the Korea Society for Simulation (KSS). For the conference, all submitted papers were refereed by the international technical program committee, each paper receiving at least two independent reviews. After careful reviews by the committee, 65 papers from 143 submis sions were selected for oral presentation. This volume includes the keynote speakers' papers along with the papers presented at the oral sessions and the organized sessions. As a result, we are publishing 87 papers for the conference in this volume. In addition to the scientific tracts presented, the conference featured keynote presentations by five invited speakers. We are grateful to them for accepting our invitation and for their presentations. We also would like to express our gratitude to all contributors, reviewers, technical program conmiittee members, and organizing committee members who made the conference very successful.

Robust Adaptive Control

Author : Petros Ioannou
Publisher : Courier Corporation
ISBN 13 : 0486320723
Total Pages : 850 pages
Book Rating : 4.4/5 (863 download)

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Book Synopsis Robust Adaptive Control by : Petros Ioannou

Download or read book Robust Adaptive Control written by Petros Ioannou and published by Courier Corporation. This book was released on 2013-09-26 with total page 850 pages. Available in PDF, EPUB and Kindle. Book excerpt: Presented in a tutorial style, this comprehensive treatment unifies, simplifies, and explains most of the techniques for designing and analyzing adaptive control systems. Numerous examples clarify procedures and methods. 1995 edition.

Applied Simulation Modeling

Author : Andrew F. Seila
Publisher : Cengage Learning
ISBN 13 :
Total Pages : 504 pages
Book Rating : 4.:/5 (318 download)

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Book Synopsis Applied Simulation Modeling by : Andrew F. Seila

Download or read book Applied Simulation Modeling written by Andrew F. Seila and published by Cengage Learning. This book was released on 2003 with total page 504 pages. Available in PDF, EPUB and Kindle. Book excerpt: APPLIED SIMULATION MODELING provides the student with both a conceptual introduction to the concepts of simulation modeling and practical experience with real examples using popular commercial simulation packages ARENA and @Risk. The coverage includes Risk Simulation, Dynamic Systems, and Discrete Event Simulation models. Throughout the text, the authors show readers how they can use simulation in the context of decision making. Practical examples from Operations Management, Manufacturing, Health Care, and Finance are included throughout to give students an appreciation for the wide scope of application and the robust nature of simulation modeling. Special student editions of ARENA and @Risk are packaged with the text.

Advances in Modeling and Simulation

Author : Andreas Tolk
Publisher : Springer
ISBN 13 : 3319641824
Total Pages : 359 pages
Book Rating : 4.3/5 (196 download)

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Book Synopsis Advances in Modeling and Simulation by : Andreas Tolk

Download or read book Advances in Modeling and Simulation written by Andreas Tolk and published by Springer. This book was released on 2017-08-27 with total page 359 pages. Available in PDF, EPUB and Kindle. Book excerpt: This broad-ranging text/reference presents a fascinating review of the state of the art of modeling and simulation, highlighting both the seminal work of preeminent authorities and exciting developments from promising young researchers in the field. Celebrating the 50th anniversary of the Winter Simulation Conference (WSC), the premier international forum for disseminating recent advances in the field of system simulation, the book showcases the historical importance of this influential conference while also looking forward to a bright future for the simulation community. Topics and features: examines the challenge of constructing valid and efficient models, emphasizing the benefits of the process of simulation modeling; discusses model calibration, input model risk, and approaches to validating emergent behaviors in large-scale complex systems with non-linear interactions; reviews the evolution of simulation languages, and the history of the Time Warp algorithm; offers a focus on the design and analysis of simulation experiments under various goals, and describes how data can be “farmed” to support decision making; provides a comprehensive overview of Bayesian belief models for simulation-based decision making, and introduces a model for ranking and selection in cloud computing; highlights how input model uncertainty impacts simulation optimization, and proposes an approach to quantify and control the impact of input model risk; surveys the applications of simulation in semiconductor manufacturing, in social and behavioral modeling, and in military planning and training; presents data analysis on the publications from the Winter Simulation Conference, offering a big-data perspective on the significant impact of the conference. This informative and inspiring volume will appeal to all academics and professionals interested in computational and mathematical modeling and simulation, as well as to graduate students on the path to form the next generation of WSC pioneers.