Modeling, Design, and Simulation of Systems with Uncertainties

Modeling, Design, and Simulation of Systems with Uncertainties PDF Author: Andreas Rauh
Publisher: Springer Science & Business Media
ISBN: 3642159567
Category : Technology & Engineering
Languages : en
Pages : 356

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Book Description
To describe the true behavior of most real-world systems with sufficient accuracy, engineers have to overcome difficulties arising from their lack of knowledge about certain parts of a process or from the impossibility of characterizing it with absolute certainty. Depending on the application at hand, uncertainties in modeling and measurements can be represented in different ways. For example, bounded uncertainties can be described by intervals, affine forms or general polynomial enclosures such as Taylor models, whereas stochastic uncertainties can be characterized in the form of a distribution described, for example, by the mean value, the standard deviation and higher-order moments. The goal of this Special Volume on Modeling, Design, and Simulation of Systems with Uncertainties is to cover modern methods for dealing with the challenges presented by imprecise or unavailable information. All contributions tackle the topic from the point of view of control, state and parameter estimation, optimization and simulation. Thematically, this volume can be divided into two parts. In the first we present works highlighting the theoretic background and current research on algorithmic approaches in the field of uncertainty handling, together with their reliable software implementation. The second part is concerned with real-life application scenarios from various areas including but not limited to mechatronics, robotics, and biomedical engineering.

Modeling, Design, and Simulation of Systems with Uncertainties

Modeling, Design, and Simulation of Systems with Uncertainties PDF Author: Andreas Rauh
Publisher: Springer Science & Business Media
ISBN: 3642159567
Category : Technology & Engineering
Languages : en
Pages : 356

Get Book Here

Book Description
To describe the true behavior of most real-world systems with sufficient accuracy, engineers have to overcome difficulties arising from their lack of knowledge about certain parts of a process or from the impossibility of characterizing it with absolute certainty. Depending on the application at hand, uncertainties in modeling and measurements can be represented in different ways. For example, bounded uncertainties can be described by intervals, affine forms or general polynomial enclosures such as Taylor models, whereas stochastic uncertainties can be characterized in the form of a distribution described, for example, by the mean value, the standard deviation and higher-order moments. The goal of this Special Volume on Modeling, Design, and Simulation of Systems with Uncertainties is to cover modern methods for dealing with the challenges presented by imprecise or unavailable information. All contributions tackle the topic from the point of view of control, state and parameter estimation, optimization and simulation. Thematically, this volume can be divided into two parts. In the first we present works highlighting the theoretic background and current research on algorithmic approaches in the field of uncertainty handling, together with their reliable software implementation. The second part is concerned with real-life application scenarios from various areas including but not limited to mechatronics, robotics, and biomedical engineering.

System Design, Modeling, and Simulation

System Design, Modeling, and Simulation PDF Author: Claudius Ptolemaeus
Publisher: Lee & Seshia
ISBN: 1304421066
Category : Computers
Languages : en
Pages : 687

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Book Description
This book is a definitive introduction to models of computation for the design of complex, heterogeneous systems. It has a particular focus on cyber-physical systems, which integrate computing, networking, and physical dynamics. The book captures more than twenty years of experience in the Ptolemy Project at UC Berkeley, which pioneered many design, modeling, and simulation techniques that are now in widespread use. All of the methods covered in the book are realized in the open source Ptolemy II modeling framework and are available for experimentation through links provided in the book. The book is suitable for engineers, scientists, researchers, and managers who wish to understand the rich possibilities offered by modern modeling techniques. The goal of the book is to equip the reader with a breadth of experience that will help in understanding the role that such techniques can play in design.

Modeling, Design and Simulation of Systems

Modeling, Design and Simulation of Systems PDF Author: Mohamed Sultan Mohamed Ali
Publisher: Springer
ISBN: 9811064636
Category : Computers
Languages : en
Pages : 752

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Book Description
This two-volume set CCIS 751 and CCIS 752 constitutes the proceedings of the 17th Asia Simulation Conference, AsiaSim 2017, held in Malacca, Malaysia, in August/September 2017. The 124 revised full papers presented in this two-volume set were carefully reviewed and selected from 267 submissions. The papers contained in these proceedings address challenging issues in modeling and simulation in various fields such as embedded systems; symbiotic simulation; agent-based simulation; parallel and distributed simulation; high performance computing; biomedical engineering; big data; energy, society and economics; medical processes; simulation language and software; visualization; virtual reality; modeling and Simulation for IoT; machine learning; as well as the fundamentals and applications of computing.

Statistics, Testing, and Defense Acquisition

Statistics, Testing, and Defense Acquisition PDF Author: National Research Council
Publisher: National Academies Press
ISBN: 0309174198
Category : Technology & Engineering
Languages : en
Pages : 240

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Book Description
For every weapons system being developed, the U.S. Department of Defense (DOD) must make a critical decision: Should the system go forward to full-scale production? The answer to that question may involve not only tens of billions of dollars but also the nation's security and military capabilities. In the milestone process used by DOD to answer the basic acquisition question, one component near the end of the process is operational testing, to determine if a system meets the requirements for effectiveness and suitability in realistic battlefield settings. Problems discovered at this stage can cause significant production delays and can necessitate costly system redesign. This book examines the milestone process, as well as the DOD's entire approach to testing and evaluating defense systems. It brings to the topic of defense acquisition the application of scientific statistical principles and practices.

Structural Design Optimization Considering Uncertainties

Structural Design Optimization Considering Uncertainties PDF Author: Yannis Tsompanakis
Publisher: CRC Press
ISBN: 0203938526
Category : Technology & Engineering
Languages : en
Pages : 670

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Book Description
Uncertainties play a dominant role in the design and optimization of structures and infrastructures. In optimum design of structural systems due to variations of the material, manufacturing variations, variations of the external loads and modelling uncertainty, the parameters of a structure, a structural system and its environment are not given, fi

Uncertainty-Based Ship Design Optimization

Uncertainty-Based Ship Design Optimization PDF Author: Zuyuan Liu
Publisher: Springer Nature
ISBN: 9819729734
Category :
Languages : en
Pages : 182

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Book Description


Groundwater Detection Monitoring System Design under Conditions of Uncertainty

Groundwater Detection Monitoring System Design under Conditions of Uncertainty PDF Author: Nuşin Buket Yenigül
Publisher: Eburon Uitgeverij B.V.
ISBN: 905972142X
Category :
Languages : en
Pages : 170

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Book Description


Modeling and Simulation in the Systems Engineering Life Cycle

Modeling and Simulation in the Systems Engineering Life Cycle PDF Author: Margaret L. Loper
Publisher: Springer
ISBN: 144715634X
Category : Computers
Languages : en
Pages : 405

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Book Description
This easy to read text provides a broad introduction to the fundamental concepts of modeling and simulation (M&S) and systems engineering, highlighting how M&S is used across the entire systems engineering lifecycle. Features: reviews the full breadth of technologies, methodologies and uses of M&S, rather than just focusing on a specific aspect of the field; presents contributions from specialists in each topic covered; introduces the foundational elements and processes that serve as the groundwork for understanding M&S; explores common methods and methodologies used in M&S; discusses how best to design and execute experiments, covering the use of Monte Carlo techniques, surrogate modeling and distributed simulation; explores the use of M&S throughout the systems development lifecycle, describing a number of methods, techniques, and tools available to support systems engineering processes; provides a selection of case studies illustrating the use of M&S in systems engineering across a variety of domains.

Design and Analysis of Robust Kanban System in an Uncertain Environment

Design and Analysis of Robust Kanban System in an Uncertain Environment PDF Author: Li, Zhe
Publisher: KIT Scientific Publishing
ISBN: 3731501171
Category : Business & Economics
Languages : en
Pages : 276

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Book Description
Kanban is a representative control policy pursuing cost-efficient features for the material flow system. However, the Kanban mechanism increases the system vulnerability especially when the environment is uncertain. Therefore, we proposed a robust Kanban system model for the supply chain system based on the Kanban mechanism. The model can use robust approaches from strategic, tactical, and operational levels to deal with the risks in an uncertain environment.

Model Engineering for Simulation

Model Engineering for Simulation PDF Author: Lin Zhang
Publisher: Academic Press
ISBN: 0128135441
Category : Mathematics
Languages : en
Pages : 456

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Book Description
Model Engineering for Simulation provides a systematic introduction to the implementation of generic, normalized and quantifiable modeling and simulation using DEVS formalism. It describes key technologies relating to model lifecycle management, including model description languages, complexity analysis, model management, service-oriented model composition, quantitative measurement of model credibility, and model validation and verification. The book clearly demonstrates how to construct computationally efficient, object-oriented simulations of DEVS models on parallel and distributed environments. - Guides systems and control engineers in the practical creation and delivery of simulation models using DEVS formalism - Provides practical methods to improve credibility of models and manage the model lifecycle - Helps readers gain an overall understanding of model lifecycle management and analysis - Supported by an online ancillary package that includes an instructors and student solutions manual