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Dynamic Fracture of Piezoelectric Materials
by Petia Dineva Dietmar Gross Ralf Müller Tsviatko RangelovDynamic Fracture of Piezoelectric Materials focuses on the Boundary Integral Equation Method as an efficient computational tool. The presentation of the theoretical basis of piezoelectricity is followed by sections on fundamental solutions and the numerical realization of the boundary value problems. Two major parts of the book are devoted to the solution of problems in homogeneous and inhomogeneous solids. The book includes contributions on coupled electro-mechanical models, computational methods, its validation and the simulation results, which reveal different effects useful for engineering design and practice. The book is self-contained and well-illustrated, and it serves as a graduate-level textbook or as extra reading material for students and researchers.
Dynamic Games for Network Security (Springerbriefs In Electrical And Computer Engineering)
by Xiaofan He Huaiyu DaiThe goal of this SpringerBrief is to collect and systematically present the state-of-the-art in this research field and the underlying game-theoretic and learning tools to the broader audience with general network security and engineering backgrounds. Particularly, the exposition of this book begins with a brief introduction of relevant background knowledge in Chapter 1, followed by a review of existing applications of SG in addressing various dynamic network security problems in Chapter 2. A detailed treatment of dynamic security games with information asymmetry is given in Chapters 3–5. Specifically, dynamic security games with extra information that concerns security competitions, where the defender has an informational advantage over the adversary are discussed in Chapter 3. The complementary scenarios where the defender lacks information about the adversary is examined in Chapter 4 through the lens of incomplete information SG. Chapter 5 is devoted to the exploration of how to proactively create information asymmetry for the defender’s benefit.The primary audience for this brief includes network engineers interested in security decision-making in dynamic network security problems. Researchers interested in the state-of-the-art research on stochastic game theory and its applications in network security will be interested in this SpringerBrief as well. Also graduate and undergraduate students interested in obtaining comprehensive information on stochastic game theory and applying it to address relevant research problems can use this SpringerBrief as a study guide. Lastly, concluding remarks and our perspective for future works are presented in Chapter 6.
Dynamic Governance of Energy Technology Change
by Silvia Ulli-BeerFormulating effective responses to the global challenges of mitigating climate change and securing a sustainable energy future requires a clear understanding of the interdependent causalities between institutions, local decision making, strategic alliances and eco-innovations, as well as policies. It has been acknowledged that the linear "Manhattan project" model is not an adequate governance model for mastering the dynamic complexity of socio-technical transitions; therefore this book aims at advancing research on systematic transition management models. It offers qualitative and quantitative analyses of socio-technical transitions in road transportation and housing, bringing together tailored theorizing on sustainability transitions and applied system dynamics modeling. It highlights the interconnected causal feedbacks that are required to overcome the lock-in situation in road transportation and housing fueled by fossil energies. Showing which concerted actions and framework conditions are required in the transition phases in order to initiate and sustain socio-technical transition, it serves as a guide to model-based strategy making, policy design and analyses in support of sustainable futures.
Dynamic Hyperpolarized Nuclear Magnetic Resonance (Handbook of Modern Biophysics)
by Thomas Jue Dirk MayerThis is the first book in the series to focus on dynamic hyperpolarized nuclear magnetic resonance, a burgeoning topic in biophysics. The volume follows the format and style of the Handbook of Modern Biophysics series and expands on topics already discussed in previous volumes. It builds a theoretical and experimental framework for students and researchers who wish to investigate the biophysics and biomedical application of dynamic hyperpolarized NMR. All contributors are internationally recognized experts, lead the dynamic hyperpolarized NMR field, and have first-hand knowledge of the chapter material. The book covers the following topics: Hyperpolarization by dissolution Dynamic Nuclear Polarization Design considerations for implementing a hyperpolarizer Chemical Shift Imaging with Dynamic Hyperpolarized NMR Signal Sampling Strategies in Dynamic Hyperpolarized NMRKinetic Modeling of Enzymatic Reactions in Analyzing Hyperpolarized NMR DataUsing Hyperpolarized NMR to Understand Biochemistry from Cells to Humans Innovating Metabolic Biomarkers for Hyperpolarized NMR New Insights into Metabolic Regulation from Hyperpolarized 13C MRS/MRI Studies Novel Views on Heart Function from Dynamic Hyperpolarized NMR Insights on Lactate Metabolism in Skeletal Muscle based on 13C Dynamic Nuclear Polarization Studies About the Editors Dirk Mayer is Professor of Diagnostic Radiology and Nuclear Medicine at the University of Maryland and is the Director of Metabolic Imaging. He is a recognized expert on dynamic nuclear polarization (DNP) MRI-based imaging techniques and has optimized acquisition and reconstruction techniques, has constructed kinetic modeling for quantitative analysis, and has developing new probes. Thomas Jue is Professor of Biochemistry and Molecular Medicine at the University of California Davis. He is an internationally recognized expert in developing and applying magnetic resonance techniques to study animal as well as human physiology in vivo. He served as a Chair of the Biophysics Graduate Group Program at UC Davis, where he started to redesign a graduate curriculum that balances physical science/mathematics formalism and biomedical perspective in order to promote interest at the interface of physical science, engineering, mathematics, biology, and medicine. The Handbook of Modern Biophysics represents an aspect of that effort.
Dynamic Image Analysis of Granular Materials: Particle Granulometry for Geotechnical, Material, and Geological Applications (Springer Series in Geomechanics and Geoengineering)
by Magued Iskander Linzhu LiThis book explores the effectiveness of Dynamic Image Analysis (DIA) in granulometry studies of sand, and presents criteria for soil characterization using DIA, including test parameters, specimen size, efficacy in gap-graded soils, and its limitations. DIA is a modern experimental technique used to analyze and classify particulate materials based on their size, shape, and other morphological properties. This method employs a high-frame-rate camera to capture images of individual sand particles, which have been transported and separated using various techniques. DIA generates both particle size and shape information by analyzing thousands to millions of particles, providing a quantitative statistical description of grain size and shape distribution within the specimen. The manuscript also offers a comprehensive examination of 2D and 3D particle size and shape descriptors. It demonstrates that there is no correlation between size and shape parameters in many sands and that shape descriptors can be reduced to four independent parameters representing sand granulometry at different scales. Additionally, the use of DIA in exploring the depositional history of two complex calcareous sands is presented. The manuscript presents the properties of 30 representative sands, including size and shape parameters, and fits them to statistical distributions. The investigated soils encompass both natural and machine-sorted materials, particles with regular and irregular shapes, as well as siliceous and calcareous sands. Physical granulometry of sand particles is compared using 2D, 3D DIA, and micro-computed tomography (μCT). The work demonstrates that DIA offers significant advantages in terms of efficiency for 3D shape analysis while providing an adequate representation of particle sizes and shapes of most sands. Finally, the manuscript integrates classical geotechnical engineering with computer vision and artificial intelligence. Size and shape descriptors are utilized for sand classification through machine learning models. This work represents a crucial step toward the automatic machine classification of soils, potentially enabling on-site classification using smartphones equipped with high-resolution cameras.
Dynamic Laser Speckle and Applications (Optical Science and Engineering)
by Hector J. Rabal and Roberto A. BragaSpeckle study constitutes a multidisciplinary area with inherent complexities. In order to conquer challenges such as the variability of samples and sensitive measurements, researchers must develop a theoretical and statistical understanding of both biological and non-biological metrology using dynamic speckle laser.Dynamic Laser Speckle and Applications discusses the main methodologies used to analyze biospeckle phenomena with a strong focus on experimentation. After establishing a theoretical background in both speckle and biospeckle, the book presents the main methodologies for statistical and image analysis. It then deals with the concept of frequency decomposition before moving on to a discussion of fuzzy methods to treat dynamic speckle data. The book dedicates two sections to applications, including agricultural approaches. Additional features include photo images of experiments and software to aid in easy start-up of dynamic speckle usage.A systematic approach to new dynamic speckle laser phenomena, this book provides the physical theory and statistical background needed to analyze images formed by laser illumination in biological and non-biological samples.
Dynamic Light Filters: Smart Materials Applied to Textile Design (Springer Series in Design and Innovation #3)
by Isabel Dias Cabral António Pedro Souto Linda WorbinThis book offers an extensive, interdisciplinary overview of dynamic textiles. Specifically, it discusses new findings and design concepts concerning the integration of smart materials into textile substrates and their corresponding dynamic behavior. Introducing the topic of dynamic color in textiles, it presents experimental procedures to achieve color change and dynamic light transmittance in thermochromic textiles, and examines their thermoresponsive behavior and respective electrical activation. Moreover, it also addresses the topic of dynamic form and reports on the authors’ original findings using shape-memory alloys and geometric morphologies based on origami techniques. Covering innovative smart textiles and important considerations in terms of design variables when developing textiles with dynamic qualities, and providing extensive, practice-oriented insights into the interaction of textiles with light, it is primarily intended for academics, researchers and practitioners developing smart, dynamic and interactive textiles. The sections describing in detail the experimental work aimed at the integration of smart materials in textile substrates also appeal to professionals in the textile industry.
Dynamic Lines of Collaboration: Disruption Handling & Control (Automation, Collaboration, & E-Services #6)
by Shimon Y. Nof Hao ZhongThis book focuses on the systematic modeling of complex situations characterized by escalating disruptions, and on cycles of dynamic collaboration for the best handling of disruptions. What can we do about disruptive events and their cascading effects? Thanks to the evolution of intelligent technologies for interaction, communication, sharing, and collaboration, cyberspace is a rapidly expanding world. Our systems of machines, software services, and human organizations have become increasingly interdependent, in other words – networked. As a result, disruptions that initially affect only a small part of any network tend to escalate. At the same time, cyber solutions can support first responders and emergency handlers, enhancing their responsiveness and ability to collaborate with one another in controlling disruptions and preventing their escalation. In this book, we are chiefly interested in how effectively these collaborations can be supported and how we can further optimize such support. Solution guidelines for optimizing collaborations are illustrated with examples in various application domains: agricultural robotics, civil cyber-physical infrastructure, visual analytics, manufacturing automation, and supply chains. Open-source simulation tools are also provided to supplement the main content.
Dynamic Loading and Design of Structures
by Andreas KapposUntil now, information on the dynamic loading of structures has been widely scattered. No other book has examined the different types of loading in a comprehensive and systematic manner, and looked at their signficance in the design process. The book begins with a survey of the probabilistic background to all forms of loads, which is particularly i
Dynamic Mechanical Analysis: A Practical Introduction
by Kevin P. Menard Noah MenardDynamic Mechanical Analysis (DMA) is a powerful technique for understanding the viscoelastic properties of materials. It has become a powerful tool for chemists, polymer and material scientists, and engineers. Despite this, it often remains underutilized in the modern laboratory. Because of its high sensitivity to the presence of the glass transition, many users limit it to detecting glass transitions that can’t be seen by differential scanning calorimetry (DSC). This book presents a practical and straightforward approach to understanding how DMA works and what it measures. Starting with the concepts of stress and strain, the text takes the reader through stress–strain, creep, and thermomechanical analysis. DMA is discussed as both the instrument and fixtures as well as the techniques for measuring both thermoplastic and thermosetting behavior. This edition offers expanded chapters on these areas as well as frequency scanning and other application areas. To help the reader grasp the material, study questions have also been added. Endnotes have been expanded and updated. Features Reflects the latest DMA research and technical advances Includes case studies to demonstrate the use of DMA over a range of industrial problems Includes numerous references to help those with limited materials engineering background Demonstrates the power of DMA as a laboratory tool for analysis and testing
Dynamic Modeling and Active Vibration Control of Structures
by Moon Kyu KwakThis book describes the active vibration control techniques which have been developed to suppress excessive vibrations of structures. It covers the fundamental principles of active control methods and their applications and shows how active vibration control techniques have replaced traditional passive vibration control. The book includes coverage of dynamic modeling, control design, sensing methodology, actuator mechanism and electronic circuit design, and the implementation of control algorithms via digital controllers. An in-depth approach has been taken to describe the modeling of structures for control design, the development of control algorithms suitable for structural control, and the implementation of control algorithms by means of Simulink block diagrams or C language. Details of currently available actuators and sensors and electronic circuits for signal conditioning and filtering have been provided based on the most recent advances in the field. The book is used as a textbook for students and a reference for researchers who are interested in studying cutting-edge technology. It will be a valuable resource for academic and industrial researchers and professionals involved in the design and manufacture of active vibration controllers for structures in a wide variety of fields and industries including the automotive, rail, aerospace, and civil engineering sectors.
Dynamic Modeling and Boundary Control of Flexible Axially Moving System
by Yu Liu Wei Zhao Fengjiao Liu Yanfang Mei Xiangqian YaoThe main objectives of the book are to introduce the design method of boundary control strategies for the axially moving structures to reduce their vibration. This book provides the reader with a thorough grounding in the boundary controller design. Our goal is to provide advanced boundary controller design methods and their stability analysis methods and offer simulation examples and MATLAB programs for each boundary control algorithm. For each chapter, several engineering application examples are given and the contents of each chapter in this book are independent, so that readers can just read their own needs. In this book, all the control algorithms and their programs are described separately and classified by the chapter name, which can be run successfully in MATLAB. The book can benefit researchers, engineers, and graduate students in the fields of PDE modeling and boundary vibration control of flexible structures.
Dynamic Modeling and Control of Engineering Systems
by Bohdan T. Kulakowski John F. Gardner J. Lowen ShearerThis textbook is ideal for a course in engineering systems dynamics and controls. The work is a comprehensive treatment of the analysis of lumped parameter physical systems. Starting with a discussion of mathematical models in general, and ordinary differential equations, the book covers input/output and state space models, computer simulation and modeling methods and techniques in mechanical, electrical, thermal and fluid domains. Frequency domain methods, transfer functions and frequency response are covered in detail. The book concludes with a treatment of stability, feedback control (PID, lead-lag, root locus) and an introduction to discrete time systems. This new edition features many new and expanded sections on such topics as: solving stiff systems, operational amplifiers, electrohydraulic servovalves, using Matlab with transfer functions, using Matlab with frequency response, Matlab tutorial and an expanded Simulink tutorial. The work has 40% more end-of-chapter exercises and 30% more examples.
Dynamic Modeling and Neural Network-Based Intelligent Control of Flexible Systems (IEEE Press Series on Control Systems Theory and Applications)
by Wei He Changyin Sun Hejia GaoComprehensive treatment of several representative flexible systems, ranging from dynamic modeling and intelligent control design through to stability analysis Fully illustrated throughout, Dynamic Modeling and Neural Network-Based Intelligent Control of Flexible Systems proposes high-efficiency modeling methods and novel intelligent control strategies for several representative flexible systems developed by means of neural networks. It discusses tracking control of multi-link flexible manipulators, vibration control of flexible buildings under natural disasters, and fault-tolerant control of bionic flexible flapping-wing aircraft and addresses common challenges like external disturbances, dynamic uncertainties, output constraints, and actuator faults. Expanding on its theoretical deliberations, the book includes many case studies demonstrating how the proposed approaches work in practice. Experimental investigations are carried out on Quanser Rotary Flexible Link, Quanser 2 DOF Serial Flexible Link, Quanser Active Mass Damper, and Quanser Smart Structure platforms. The book starts by providing an overview of dynamic modeling and intelligent control of flexible systems, introducing several important issues, along with modeling and control methods of three typical flexible systems. Other topics include: Foundational mathematical preliminaries including the Hamilton principle, model discretization methods, Lagrange’s equation method, and Lyapunov’s stability theoremDynamic modeling of a single-link flexible robotic manipulator and vibration control design for a string with the boundary time-varying output constraintUnknown time-varying disturbances, such as earthquakes and strong winds, and how to suppress them and use MATLAB and Quanser to verify effectiveness of a proposed controlAdaptive vibration control methods for a single-floor building-like structure equipped with an active mass damper (AMD) Dynamic Modeling and Neural Network-Based Intelligent Control of Flexible Systems is an invaluable resource for researchers and engineers seeking high-efficiency modeling methods and neural-network-based control solutions for flexible systems, along with industry engineers and researchers who are interested in control theory and applications and students in related programs of study.
Dynamic Modeling of Automatic Machines for Design and Control (Mechanisms and Machine Science #136)
by Juan Carlos Jauregui-CorreaThis book describes the design experience of automatic machines and the theoretical background for controlling them. Unlike the existing literature, it includes design concepts and their relationship with the dynamic behavior of automated devices, and links the dynamic response of the machine elements with the actuators that constitute an automatic machine. As such, it demonstrates that it is vital to properly model any automatic machine as a single system and find the final response to have a good design and control scheme. The introduction describes the background for designing automatic machines, their uniqueness in machine design, and the need to understand dynamic behavior. The following chapters provide the background for modeling multibody systems, examples of typical automatic machines, and the basis for determining the dynamic response of the most common actuators (motor, pneumatic, and hydraulic pistons and valves). The fourth chapter describes the dynamic response of the most common sensors utilized in automatic machines, while the fifth chapter includes the dynamic models of the machine elements that connect the actuators with the end effects (specific tools for each particular application). The final chapters contain examples of dynamic models for different automatic machines, including all the elements that affect the final response, and describe the simulation techniques (and their application to the examples) and the application of the transfer function for estimating the transient response of automatic machines.
Dynamic Modeling of Complex Industrial Processes: Data-driven Methods and Application Research (Springer Theses)
by Chao ShangThis thesis develops a systematic, data-based dynamic modeling framework for industrial processes in keeping with the slowness principle. Using said framework as a point of departure, it then proposes novel strategies for dealing with control monitoring and quality prediction problems in industrial production contexts.The thesis reveals the slowly varying nature of industrial production processes under feedback control, and integrates it with process data analytics to offer powerful prior knowledge that gives rise to statistical methods tailored to industrial data. It addresses several issues of immediate interest in industrial practice, including process monitoring, control performance assessment and diagnosis, monitoring system design, and product quality prediction. In particular, it proposes a holistic and pragmatic design framework for industrial monitoring systems, which delivers effective elimination of false alarms, as well as intelligent self-running by fully utilizing the information underlying the data. One of the strengths of this thesis is its integration of insights from statistics, machine learning, control theory and engineering to provide a new scheme for industrial process modeling in the era of big data.
Dynamic Modeling, Simulation and Control of Energy Generation
by Ranjan VepaThis book addresses the core issues involved in the dynamic modeling, simulation and control of a selection of energy systems such as gas turbines, wind turbines, fuel cells and batteries. The principles of modeling and control could be applied to other non-convention methods of energy generation such as solar energy and wave energy. A central feature of Dynamic Modeling, Simulation and Control of Energy Generation is that it brings together diverse topics in thermodynamics, fluid mechanics, heat transfer, electro-chemistry, electrical networks and electrical machines and focuses on their applications in the field of energy generation, its control and regulation. This book will help the reader understand the methods of modelling energy systems for controller design application as well as gain a basic understanding of the processes involved in the design of control systems and regulators. It will also be a useful guide to simulation of the dynamics of energy systems and for implementing monitoring systems based on the estimation of internal system variables from measurements of observable system variables. Dynamic Modeling, Simulation and Control of Energy Generation will serve as a useful aid to designers of hybrid power generating systems involving advanced technology systems such as floating or offshore wind turbines and fuel cells. The book introduces case studies of the practical control laws for a variety of energy generation systems based on nonlinear dynamic models without relying on linearization. Also the book introduces the reader to the use nonlinear model based estimation techniques and their application to energy systems.
Dynamic Models and Discrete Event Simulation (ISSN)
by W. DelaneyThis book aims to clarify exactly how simulation studies can be carried out in the system theory paradigm, while providing a realistically complete coverage of (discrete event) simulation in its more traditional aspects. It focuses on the subclass of predictive, generative and dynamic system models.
Dynamic Models of Energy, Robotic, and Biological Systems: Systems, Design, and Validation
by Jaime Pacheco Jose de Rubio Alejandro ZacariasDynamic models are essential for understanding the system dynamics. It is of importance because one mistake in experiments could cause accidents or damages, while one mistake in the simulation of dynamic models could cause nothing. Each system has a different dynamic model; hence, this book presents the designs of 10 dynamic models which are mainly classified in two ways. The first kind of dynamic models are mainly obtained by the Euler Lagrange method and described by differential equations. The second kind of dynamic models are mainly obtained by the neural networks and described by difference equations. Topics and features: Contains the dynamic models of energy systems Derives dynamic models of energy systems by the Euler Lagrange method Includes the dynamic models of robotic systems Contains the dynamic models of biological systems Derives dynamic models of robotic systems by the Euler Lagrange method Obtains dynamic models of biological systems by neural networks This book is expected to be used primary by researchers and secondary by students and in the areas of control, robotics, energy, biological, mechanical, mechatronics, and computing systems. Jose de Jesus Rubio, Alejandro Zacarias, and Jaime Pacheco are full Professors affiliated with the ESIME Azcapotzalco, Instituto Politécnico Nacional, Sección de Estudios de Posgrado e Investigación, Ciudad de México, México.
Dynamic Network User Equilibrium (Complex Networks and Dynamic Systems #5)
by Terry L. Friesz Ke HanThis book presents advanced research in a relatively new field of scholarly inquiry that is usually referred to as dynamic network user equilibrium, now almost universally abbreviated as DUE. It provides the first synthesis of results obtained over the last decade from applying the differential variational inequality (DVI) formalism to study the DUE problem. In particular, it explores the intimately related problem of dynamic network loading, which determines the arc flows and effective travel delays (or generalized travel costs) arising from the expression of departure rates at the origins of commuter trips between the workplace and home. In particular, the authors show that dynamic network loading with spillback of queues into upstream arcs may be formulated as a differential algebraic equation system. They demonstrate how the dynamic network loading problem and the dynamic traffic user equilibrium problem may be solved simultaneously rather than sequentially, as well as how the first-in-first-out queue discipline may be maintained for each when Lighthill-Whitham-Richardson traffic flow theory is used. A number of recent and new extensions of the DVI-based theory of DUE and corresponding examples are presented and discussed. Relevant mathematical background material is provided to make the book as accessible as possible.
Dynamic Optimization of Path-Constrained Switched Systems (Studies in Systems, Decision and Control #459)
by Jun Fu Chi ZhangThis book provides a series of systematic theoretical results and numerical solution algorithms for dynamic optimization problems of switched systems within infinite-dimensional inequality path constraints. Dynamic optimization of path-constrained switched systems is a challenging task due to the complexity from seeking the best combinatorial optimization among the system input, switch times and switching sequences. Meanwhile, to ensure safety and guarantee product quality, path constraints are required to be rigorously satisfied (i.e., at an infinite number of time points) within a finite number of iterations. Several novel methodologies are presented by using dynamic optimization and semi-infinite programming techniques. The core advantages of our new approaches lie in two folds: i) The system input, switch times and the switching sequence can be optimized simultaneously. ii) The proposed algorithms terminate within finite iterations while coming with a certification of feasibility for the path constraints. In this book, first, we provide brief surveys on dynamic optimization of path-constrained systems and switched systems. For switched systems with a fixed switching sequence, we propose a bi-level algorithm, in which the input is optimized at the inner level, and the switch times are updated at the outer level by using the gradient information of the optimal value function calculated at the optimal input. We then propose an efficient single-level algorithm by optimizing the input and switch times simultaneously, which greatly reduces the number of nonlinear programs and the computational burden. For switched systems with free switching sequences, we propose a solution framework for dynamic optimization of path-constrained switched systems by employing the variant 2 of generalized Benders decomposition technique. In this framework, we adopt two different system formulations in the primal and master problem construction and explicitly characterize the switching sequences by introducing a binary variable. Finally, we propose a multi-objective dynamic optimization algorithm for locating approximated local Pareto solutions and quantitatively analyze the approximation optimality of the obtained solutions. This book provides a unified framework of dynamic optimization of path-constrained switched systems. It can therefore serve as a useful book for researchers and graduate students who are interested in knowing the state of the art of dynamic optimization of switched systems, as well as recent advances in path-constrained optimization problems. It is a useful source of up-to-date optimization methods and algorithms for researchers who study switched systems and graduate students of control theory and control engineering. In addition, it is also a useful source for engineers who work in the control and optimization fields such as robotics, chemical engineering and industrial processes.
Dynamic Phasors in Energy Processing Systems (Power Electronics and Power Systems)
by Hanoch Lev-Ari Aleksandar M. StankovićThis advanced textbook explores representations of signals in electric energy systems (EES) and their applications in tasks such as protection, monitoring, estimation, and control. EES plays a crucial role in energy conversion at levels ranging from personal devices and vehicles, such as cars, airplanes, and ships, to regions and even whole continents. The text provides a unified modeling framework for consistent EES analysis, design, and integration with physical and cyber environments. It includes tools that enable frequency-selective modeling, simulation, and control. In modern EES, the switching mode of operation introduces multiple frequency components in signals, and the book's modeling concepts help quantify the dynamics of harmonics in power networks. Coverage includes power electronic converters, electric machines and drives, and other power system components. One of the book's main focuses is characterizing EES transients, which is of significant engineering interest, especially for emerging control and protection strategies that utilize signal processing and microcontrollers. Dynamics Phasors in Energy Processing Systems is appropriate for graduate and advanced undergraduate courses in electric energy engineering and is a valuable professional resource for researchers and practitioners in industry, academia, and national laboratories.
Dynamic Positioning Systems: Class Guidance for DP Operators (Springer Series on Naval Architecture, Marine Engineering, Shipbuilding and Shipping #21)
by Fidaa KarkoriThe application of dynamic positioning (DP) systems has been expanded significantly not only in the number of DP vessels, but also in the range of applications and the advancement of DP technologies. In order to address various needs of the industry, the majority of leading Classification Societies (Class) have developed Class specific guidance relating to development, implementation, and use of dynamic positioning Systems (DP). This book provides generalised guidance adapted from various leading Classes, to provide DP professionals with a readily available source of information and guidance relating to the operation and use of DP systems. The book provides optional notations and technical specifics that reflect current industry practice and DP technologies. This book includes guidance relating to: • Enhanced system (EHS) notations to recognise design features beyond current DPS-series notations and to provide flexibility to owners and operators. • Station keeping performance (SKP) notations to recognise DP capability and to encourage robust design of the DP systems. • Increased level of detail on the technical requirements to help less experienced users.
Dynamic Positioning for Engineers
by Surender KumarDynamic Positioning for Engineers enables the reader to acquire the basic knowledge of the concepts and understanding of the dynamic positioning (DP) system from the systems perspective. This book illustrates the system, subsystems and components of the DP system to better tackle maintenance, problems and breakdowns, leading to an increased mean time between failures and effective fault finding on dynamic positioning DP-related equipment. Overall, this text will help professionals reduce downtime and higher repair costs. Aimed at onboard electrical engineers, engine room watch officers, chief engineers, DP professionals onboard, in onshore officers and those taking DP training courses, this book: Explains automation and its application in the DP system Describes environmental sensors and position reference sensors as important inputs to the DP system Includes chapters on power management and thrusters Aids engineers in maintaining a the DP system in good operational condition
Dynamic Programming
by Richard BellmanAn introduction to the mathematical theory of multistage decision processes, this text takes a "functional equation" approach to the discovery of optimum policies. Written by a leading developer of such policies, it presents a series of methods, uniqueness and existence theorems, and examples for solving the relevant equations. The text examines existence and uniqueness theorems, the optimal inventory equation, bottleneck problems in multistage production processes, a new formalism in the calculus of variation, strategies behind multistage games, and Markovian decision processes. Each chapter concludes with a problem set that Eric V. Denardo of Yale University, in his informative new introduction, calls "a rich lode of applications and research topics." 1957 edition. 37 figures.