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Distinguished Figures in Mechanism and Machine Science: Their Contributions and Legacies, Part 4 (History of Mechanism and Machine Science #38)
by Marco Ceccarelli Yibing FangThis book discusses technological developments by distinguished figures in the history of MMS (mechanism and machine science). It includes biographies of well-known scientists, describing their efforts, experiences and achievements and offering a modern interpretation of their legacy. This volume includes scientists from a wide range of time periods, academic disciplines, and geographical backgrounds, such as Giovanni Bianchi, Homer, Taqi Al-Din, Jacques de Vaucanson, Ma Jun, Xu Baosheng, Alexander Alexandrovich Golovin, Francesco di Giorgio and Cesare Rossi. Covering a wide range of figures within the field of history of mechanical engineering, with a particular focus on MMS, this fourth volume is of interest to, and will inspire the work (historical or not) of many.
Distributed Arrays of Small Instruments for Solar-Terrestrial Research: Report of a Workshop
by National Research Council of the National AcademiesA recommendation of the NRC’s decadal survey in solar and space physics, published in 2002, was the Small Instrument Distributed Ground-Based Network, which would provide global-scale ionospheric and upper atmospheric measurements crucial to understanding the atmosphere-ionosphere-magnetosphere system. To explore the scientific rationale for this distributed array of small instruments (known as DASI), the infrastructure needed to support and make use of such arrays, and proposals for a deployment implementation plan, the NRC held a workshop of interested parties at the request of the National Science Foundation. This report presents a summary of that workshop focusing on the science and instruments, and on infrastructure issues. It describes the themes emerging from the workshop: the need to address the magnetosphere-ionosphere-magnetosphere ensemble as a system; the need for real-time observations; and the insufficiency of current observations.
Distributed Average Tracking in Multi-agent Systems
by Fei Chen Wei RenThis book presents a systematic study of an emerging field in the development of multi-agent systems. In a wide spectrum of applications, it is now common to see that multiple agents work cooperatively to accomplish a complex task. The book assists the implementation of such applications by promoting the ability of multi-agent systems to track — using local communication only — the mean value of signals of interest, even when these change rapidly with time and when no individual agent has direct access to the average signal across the whole team; for example, when a better estimation/control performance of multi-robot systems has to be guaranteed, it is desirable for each robot to compute or track the averaged changing measurements of all the robots at any time by communicating with only local neighboring robots. The book covers three factors in successful distributed average tracking: algorithm design via nonsmooth and extended PI control;distributed average tracking for double-integrator, general-linear, Euler–Lagrange, and input-saturated dynamics; andapplications in dynamic region-following formation control and distributed convex optimization. The book presents both the theory and applications in a general but self-contained manner, making it easy to follow for newcomers to the topic. The content presented fosters research advances in distributed average tracking and inspires future research directions in the field in academia and industry.
Distributed Control and Optimization Technologies in Smart Grid Systems (Microgrids and Active Power Distribution Networks)
by Yong-Duan Song Fanghong Guo Changyun WenThe book aims to equalize the theoretical involvement with industrial practicality and build a bridge between academia and industry by reducing the mathematical difficulties. It provides an overview of distributed control and distributed optimization theory, followed by specific details on industrial applications to smart grid systems, with a special focus on micro grid systems. Each of the chapters is written and organized with an introductory section tailored to provide the essential background of the theories required. The text includes industrial applications to realistic renewable energy systems problems and illustrates the application of proposed toolsets to control and optimization of smart grid systems.
Distributed Control and Optimization of Networked Microgrids: A Multi-Agent System Based Approach (Power Systems)
by Qing-Long Han Boda Ning Lei DingThis book presents new techniques and methods for distributed control and optimization of networked microgrids. Distributed consensus issues under network-based and event-triggered mechanisms are first addressed in a multi-agent system framework, which can explicitly characterize the relationship between communication resources and the control performance. Then, considering the effects of network uncertainties, multi-agent system-based distributed schemes are tailored to solve the fundamental issues of networked microgrids such as distributed frequency regulation, voltage regulation, active power sharing/load sharing, and energy management. The monograph will contribute to stimulating extensive interest of researchers in electrical and control fields.
Distributed Cooperative Control of Multi-agent Systems
by Guanrong Chen Wenwu Yu Guanghui Wen Jinde CaoA detailed and systematic introduction to the distributed cooperative control of multi-agent systems from a theoretical, network perspective Features detailed analysis and discussions on the distributed cooperative control and dynamics of multi-agent systems Covers comprehensively first order, second order and higher order systems, swarming and flocking behaviors Provides a broad theoretical framework for understanding the fundamentals of distributed cooperative control
Distributed Cooperative Control: Emerging Applications
by Yi GuoExamines new cooperative control methodologies tailored to real-world applications in various domains such as in communication systems, physics systems, and multi-robotic systems Provides the fundamental mechanism for solving collective behaviors in naturally-occurring systems as well as cooperative behaviors in man-made systems Discusses cooperative control methodologies using real-world applications, including semi-conductor laser arrays, mobile sensor networks, and multi-robotic systems Includes results from the research group at the Stevens Institute of Technology to show how advanced control technologies can impact challenging issues, such as high energy systems and oil spill monitoring
Distributed Cooperative Model Predictive Control of Networked Systems
by Shaoyuan Li Yuanyuan ZouThis book is inspired by the development of distributed model predictive control of networked systems to save computation and communication sources. The significant new contribution is to show how to design efficient DMPCs that can be coordinated asynchronously with the increasing effectiveness of the event-triggering mechanism and how to improve the event-triggered DMPC for different requirements improvement of control performance, extension to interconnected networked systems, etc. The book is likely to be of interest to the persons who are engaged in researching control theory in academic institutes, the persons who go in for developing control systems in R&D institutes or companies, the control engineers who are engaged in the implementation of control algorithms, and people who are interested in the distributed MPC.
Distributed Coordination Control System: Application Scenarios and Countermeasures
by Yongnan JiaThis book is guided by the typical application scenarios of distributed coordination control strategies inspired by the collective behaviors of flocks of birds, schools of fish, swarm of herds, and so on. More importantly, it gives a complete flocking solution from mathematical modeling, theoretical derivation, simulation analysis to engineering application in detail. In general, all things in the world evolves from simple to complex, from individual to group, from individual intelligence to swarm intelligence. Therefore, swarm intelligence represents the development trend of artificial intelligence in the future. This book is suitable for natural science enthusiasts and other people who are interested in these collective phenomena. It can be used not only as a teaching material for control science engineering and computer science majors in colleges and universities, but also as a reference for professionals in the fields of control science, computer science, mathematics, and physics.
Distributed Coordination Theory for Robot Teams (Lecture Notes in Control and Information Sciences #490)
by Manfredi Maggiore Ashton Roza Luca ScardoviDistributed Coordination Theory for Robot Teams develops control algorithms to coordinate the motion of autonomous teams of robots in order to achieve some desired collective goal. It provides novel solutions to foundational coordination problems, including distributed algorithms to make quadrotor helicopters rendezvous and to make ground vehicles move in formation along circles or straight lines. The majority of the algorithms presented in this book can be implemented using on-board cameras. The book begins with an introduction to coordination problems, such as rendezvous of flying robots, and modelling. It then provides a solid theoretical background in basic stability, graph theory and control primitives. The book discusses the algorithmic solutions for numerous distributed control problems, focusing primarily on flying robotics and kinematic unicycles. Finally, the book looks to the future, and suggests areas discussed which could be pursued in further research. This book will provide practitioners, researchers and students in the field of control and robotics new insights in distributed multi-agent systems.
Distributed Drive Control Technology of Hub Motor (Key Technologies on New Energy Vehicles)
by Shaopeng Zhu Chao LyuThis book systematically introduces the two core technologies of hub motor and distributed drive control, and describes vehicle parameter estimation and dynamic modeling as the design basis of distributed drive control strategy based on the author's research results and engineering practice, starting from the introduction to distributed drive control of hub motor. The content systematically describes the specific control strategy design method of distributed drive and brake, and the software/hardware in-the-loop test technology for distributed drive control. The related intelligent driving technology based on distributed drive vehicle is also introduced in the book. This book can be used as a reference for automotive industry professionals engaged in new energy vehicle development, electric powertrain research, hub motor research, etc. It can also be used as a reference book for teachers and students majoring in automotive in colleges and universities. The basis of English translation of this book, originally in Chinese, was facilitated by artificial intelligence. The content was later revised by the author for accuracy.
Distributed Energy Management of Electrical Power Systems (IEEE Press Series on Power and Energy Systems)
by Wei Zhang Wen Yu Yinliang Xu Wenxin LiuGo in-depth with this comprehensive discussion of distributed energy management Distributed Energy Management of Electrical Power Systems provides the most complete analysis of fully distributed control approaches and their applications for electric power systems available today. Authored by four respected leaders in the field, the book covers the technical aspects of control, operation management, and optimization of electric power systems. In each chapter, the book covers the foundations and fundamentals of the topic under discussion. It then moves on to more advanced applications. Topics reviewed in the book include: System-level coordinated control Optimization of active and reactive power in power grids The coordinated control of distributed generation, elastic load and energy storage systems Distributed Energy Management incorporates discussions of emerging and future technologies and their potential effects on electrical power systems. The increased impact of renewable energy sources is also covered. Perfect for industry practitioners and graduate students in the field of power systems, Distributed Energy Management remains the leading reference for anyone with an interest in its fascinating subject matter.
Distributed Energy Resources: Solutions for a Low Carbon Society (Green Energy and Technology)
by Weijun GaoThe future of the distributed energy generation market is promising, with opportunities in the residential, commercial, and industrial sectors driven by increasing awareness of clean energy, greenhouse gas (GHG) emission reduction targets, and rising global demand for energy. This book focuses on UN Sustainable Development Goal 7, which aims to "ensure access to affordable, reliable, sustainable, and modern energy for all." It provides research results, applications, and case studies on the potential of distributed energy resources as a solution to building a low-carbon society. Coverage includes modeling and evaluation of distributed power systems, system maintenance and reliability, economic potential and implications of hydrogen energy systems, grid stabilization and carbon emission reduction, smart design, and the impact of energy penetration on public power grids. Case studies include the effects of renewable energy policies on solar photovoltaic energy in China, Germany, Japan, and the United States of America and a feasibility assessment of distributed energy systems in Shanghai. Distributed Energy Resources: Solutions for a Low Carbon Society will be a valuable resource for postgraduate students and researchers in energy systems, urban energy management, and renewable energy technologies and a reference guide for practicing engineers, urban energy planners, and energy system managers.
Distributed Energy Systems: Design, Modeling, and Control (Control Theory and Applications)
by Dmitri Vinnikov Ashutosh K. Giri Sabha Raj AryaThis book provides the insight of various topology and control algorithms used for power control in distributed energy power conversion systems such as solar, wind, and other power sources. It covers traditional and advanced control algorithms of power filtering including modelling and simulations, and hybrid power generation systems. The adaptive control, model predictive control, fuzzy-based controllers, Artificial Intelligence-based control algorithm, and optimization techniques application for estimating the error regulator gains are discussed. Features of this book include the following: Covers the schemes for power quality enhancement, and voltage and frequency control. Provides complete mathematical modelling and simulation results of the various configurations of the renewable energy-based distribution systems. Includes design, control, and experimental results. Discusses mathematical modelling of classical and adaptive control techniques. Explores recent application of control algorithm and power conversion. This book is aimed at researchers, professionals, and graduate students in power electronics, distributed power generation systems, control engineering, Artificial Intelligent-based control algorithms, optimization techniques, and renewable energy systems.
Distributed Generation: The Power Paradigm for the New Millennium
by Jan F. Kreider Ann-Marie BorbelyAs a result of deregulation, the US electric utility industry is undergoing a dramatic transformation with far-reaching technical and social consequences. At the heart of this transformation lies Distributed Generation (DG)-the substitution of centralized electricity production with smaller-scale technologies located in or near facilities and power
Distributed Geolibraries: Spatial Information Resources Summary of a Workshop
by National Research CouncilPresents the findings of the Workshop on Distributed Geolibraries: Spatial Information Resources, convened by the Mapping Science Committee of the National Research Council in June 1998
Distributed Large-Scale Dimensional Metrology
by Domenico Maisano Fiorenzo Franceschini Luca Mastrogiacomo Barbara Pralio Maurizio GalettoThe field of large-scale dimensional metrology (LSM) deals with objects that have linear dimensions ranging from tens to hundreds of meters. It has recently attracted a great deal of interest in many areas of production, including the automotive, railway, and shipbuilding sectors. Distributed Large-Scale Dimensional Metrology introduces a new paradigm in this field that reverses the classical metrological approach: measuring systems that are portable and can be easily moved around the location of the measured object, which is preferable to moving the object itself. Distributed Large-Scale Dimensional Metrology combines the concepts of distributed systems and large scale metrology at the application level. It focuses on the latest insights and challenges of this new generation of systems from the perspective of the designers and developers. The main topics are: coverage of measuring area,sensors calibration,on-line diagnostics,probe management, andanalysis of metrological performance.The general descriptions of each topic are further enriched by specific examples concerning the use of commercially available systems or the development of new prototypes. This will be particularly useful for professional practitioners such as quality engineers, manufacturing and development engineers, and procurement specialists, but Distributed Large-Scale Dimensional Metrology also has a wealth of information for interested academics.
Distributed Learning Ecosystems: Concepts, Resources, and Repositories
by Olaf Zawacki-Richter Michael Kerres Daniel Otto Gianna ScharnbergThis open-access book is based on the observation that learning ecosystems are increasingly established in higher education institutions. However, an important aspect that is still missing is their interconnectedness. Consequently, the book intends to close this gap by introducing the concept of a distributed learning ecosystem (DLE). A DLE follows the idea of establishing an interlinkage between decentralised learning ecosystems (consisting of content repositories and educational resources) and thus serves as an integrated approach that enables learners to access and use learning content and share resources.
Distributed Model Predictive Control Made Easy
by José M. Maestre Rudy R. NegenbornThe rapid evolution of computer science, communication, and information technology has enabled the application of control techniques to systems beyond the possibilities of control theory just a decade ago. Critical infrastructures such as electricity, water, traffic and intermodal transport networks are now in the scope of control engineers. The sheer size of such large-scale systems requires the adoption of advanced distributed control approaches. Distributed model predictive control (MPC) is one of the promising control methodologies for control of such systems. This book provides a state-of-the-art overview of distributed MPC approaches, while at the same time making clear directions of research that deserve more attention. The core and rationale of 35 approaches are carefully explained. Moreover, detailed step-by-step algorithmic descriptions of each approach are provided. These features make the book a comprehensive guide both for those seeking an introduction to distributed MPC as well as for those who want to gain a deeper insight in the wide range of distributed MPC techniques available.
Distributed Model Predictive Control for Plant-Wide Systems
by Yi Zheng Shaoyuan LiA comprehensive examination of DMPC theory and its technological applications • A comprehensive examination of DMPC theory and its technological applications from basic through to advanced level• A systematic introduction to DMPC technology providing classic DMPC coordination strategies, analysis of their performance, and design methods for both unconstraint and constraint systems• Includes the system partition methods, coordination strategies, the performance analysis and how to design stabilized DMPC under different coordination strategies• Presents useful theories and technologies which can be used in many different industrial fields, such as the metallurgical process and high speed transport, helping readers to grasp the procedure of using the DMPC• Reflects the authors’ combined research in the area, providing a wealth of and current and background information
Distributed Secondary Control of Microgrid Systems
by Haoming Liu Muhammad Yasir Khan Jingjing ZhaiThis book presents a detailed description of the transition from the traditional power system to the microgrid (MG) system.The authors introduce the basic concepts of an MG system along with its different operating modes and classifications. The various benefits, challenges, and technical aspects of an MG are highlighted. They demonstrate different control strategies that are applied at different levels of the control hierarchy, particularly the distributed secondary control architecture. Furthermore, the adaptive techniques-based distributed schemes, a distributed architecture-based synchronization controller, and a delay-independent buffer-free distributed controller are proposed for the MG system.This book can be useful for senior undergraduate students, postgraduate students, and researchers of electrical power engineering and system control.
Distributed Source Coding: Theory and Practice
by Samuel Cheng Shuang Wang Yong FangDistributed source coding is one of the key enablers for efficient cooperative communication. The potential applications range from wireless sensor networks, ad-hoc networks, and surveillance networks, to robust low-complexity video coding, stereo/Multiview video coding, HDTV, hyper-spectral and multispectral imaging, and biometrics. The book is divided into three sections: theory, algorithms, and applications. Part one covers the background of information theory with an emphasis on DSC; part two discusses designs of algorithmic solutions for DSC problems, covering the three most important DSC problems: Slepian-Wolf, Wyner-Ziv, and MT source coding; and part three is dedicated to a variety of potential DSC applications. Key features: Clear explanation of distributed source coding theory and algorithms including both lossless and lossy designs. Rich applications of distributed source coding, which covers multimedia communication and data security applications. Self-contained content for beginners from basic information theory to practical code implementation. The book provides fundamental knowledge for engineers and computer scientists to access the topic of distributed source coding. It is also suitable for senior undergraduate and first year graduate students in electrical engineering; computer engineering; signal processing; image/video processing; and information theory and communications.
Distributed Systems with Persistent Memory
by Luciano PandolfiThe subject of the book includes the study of control problems for systems which are encountered in viscoelasticity, non-Fickian diffusion and thermodynamic with memory. The common feature of these systems is that memory of the whole past history persists in the future. This class of systems is actively studied now, as documented in the recent book. This book will attract a diversified audience, in particular, engineers working on distributed systems, and applied mathematicians. Background of mathematics are the elements of functional analysis, which is now standard among people working on distributed systems, and the author describes very clearly the instruments which are used at every step.
Distributed Vision: From Simple Sensors to Sophisticated Combination Eyes (Springer Series in Vision Research)
by Elke Buschbeck Michael BokThis volume explores the diversity of distributed eyes and other unusual visual systems in nature. It compares the unique themes of optics, neural processing, and behavioral control that emerge from these visual systems with more-canonical eyes. This volume attempts to answer a number of questions about distributed visual systems. What are distributed visual systems good for, how do they function, and why have they arisen independently in so many phyla? Why are eye designs and visual system arrangements much more diverse in invertebrates? Each chapter includes an overview of the visual systems that exist in their group of animals, relates vision to ecology, and takes a comparative approach.
Distributed-Order Dynamic Systems
by Yangquan Chen Igor Podlubny Zhuang JiaoDistributed-order differential equations, a generalization of fractional calculus, are of increasing importance in many fields of science and engineering from the behaviour of complex dielectric media to the modelling of nonlinear systems. This Brief will broaden the toolbox available to researchers interested in modeling, analysis, control and filtering. It contains contextual material outlining the progression from integer-order, through fractional-order to distributed-order systems. Stability issues are addressed with graphical and numerical results highlighting the fundamental differences between constant-, integer-, and distributed-order treatments. The power of the distributed-order model is demonstrated with work on the stability of noncommensurate-order linear time-invariant systems. Generic applications of the distributed-order operator follow: signal processing and viscoelastic damping of a mass-spring set up. A new general approach to discretization of distributed-order derivatives and integrals is described. The Brief is rounded out with a consideration of likely future research and applications and with a number of MATLAB® codes to reduce repetitive coding tasks and encourage new workers in distributed-order systems.