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Modeling and Control of Complex Systems (ISSN #26)
by Andreas Pitsillides Petros A. IoannouThere is an emerging interest in the area of modeling and control of complex systems for applications in many engineering and non-engineering fields such as biology, transportation, robotics, information technology, and communications. This text provides a pioneering, single-source compilation of material from internationally renowned experts with different approaches to the applications of modeling and control of complex systems. Sections cover complex systems, biological systems, communication networks, sensor networks and automation, autonomous vehicles and robotics, transportation systems and structures, and others. The authors highlight the most important areas of research, the latest advances, and possible future directions.
Modeling and Control of Engines and Drivelines
by Lars Eriksson Lars NielsenA reference guide to modeling, analysis, and control of engines and drivelines A reference manual for engineers and an introduction for students in the areas of modeling, analysis, and control of engines and drivelinesCovers the basic dynamics of internal combustion engines and drivelinesDiscusses the goals that engine control design system aims for, and how these targets can be achievedProvides a set of standard models and includes examples and case studiesIncludes an overview of hybrid vehicles and powertrainsAccompanied by a website hosting example modelsModeling and Control of Engines and Drivelines provides an introduction to the subject of modeling, analysis, and control of engines and drivelines. The aim of the book is to provide a set of standard models and serve as a reference material for engineers in the field.Modeling and Control of Engines and Drivelines highlights the interplay between the engine and driveline systems, and the integration between systems that is needed for successfully engineering a complete vehicle powertrain. In addition it also emphasises that systems should be designed such that they can be maintained and diagnosed over the vehicle life time, which is also an important engineering task in the development of control systems.
Modeling and Control of Magnetic Fluid Deformable Mirrors for Adaptive Optics Systems
by Azhar Iqbal Zhizheng Wu Foued Ben AmaraModeling and Control of Magnetic Fluid Deformable Mirrors for Adaptive Optics Systems presents a novel design of wavefront correctors based on magnetic fluid deformable mirrors (MFDM) as well as corresponding control algorithms. The presented wavefront correctors are characterized by their linear, dynamic response. Various mirror surface shape control algorithms are presented along with experimental evaluations of the performance of the resulting adaptive optics systems. Adaptive optics (AO) systems are used in various fields of application to enhance the performance of optical systems, such as imaging, laser, free space optical communication systems, etc. This book is intended for undergraduate and graduate students, professors, engineers, scientists and researchers working on the design of adaptive optics systems and their various emerging fields of application. Zhizheng Wu is an associate professor at Shanghai University, China. Azhar Iqbal is a research associate at the University of Toronto, Canada. Foued Ben Amara is an assistant professor at the University of Toronto, Canada.
Modeling and Control of Modern Electrical Energy Systems (IEEE Press Series on Power and Energy Systems)
by Masoud Karimi-GhartemaniModeling and Control of Modern Electrical Energy Systems A step-by-step approach to the modeling, analysis, and control of modern electronically controlled energy systems In Modeling and Control of Modern Electrical Energy Systems, distinguished researcher Dr. Masoud Karimi-Ghartemani delivers a comprehensive discussion of distributed and renewable energy resource integration from a control system perspective. The book explores various practical aspects of these systems, including the power extraction control of renewable resources and size selection of short-term storage components. The interactions of distributed energy resources (DERs) with the rest of the electric power system are presented, as is a discussion of the ability of the DER to ride through grid voltage faults and frequency swings. Readers will also discover how to derive mathematical models of different types of energy systems and build simulation models for those systems. Modeling and Control of Electrical Energy Systems provides end-of chapter examples and problems, as well as: A thorough introduction to power electronic conversion, including power electronics and standard power electronic converters An in-depth treatment of feedback control systems, including frequency-domain (transfer function) approaches and time-domain (state space) approaches Comprehensive discussions of direct current DERs and single-phase alternating current DERs Fulsome explorations of three-phase distributed energy resources Perfect for researchers, practitioners, and professors with an interest in electronically interfaced modern energy systems, Modeling and Control of Modern Electrical Energy Systems will also earn a place in the libraries of senior undergraduate and graduate students of electrical engineering.
Modeling and Control of Power Electronic Converters for Microgrid Applications
by Yang HanThis book covers the fundamentals of power electronic converter modeling and control, digital simulation, and experimental studies in the area of renewable energy systems and AC/DC microgrid. Recent advanced control methods for voltage source inverters (VSIs) and the hierarchical controlled islanded microgrid are discussed, including the mathematical modeling, controller synthesis, parameter selection and multi-scale stability analysis, and consensus-based control strategies for the microgrid and microgrid clusters. The book will be an invaluable technical reference for practicing engineers and researchers working in the areas of renewable energy, power electronics, energy internet, and smart grid. It can also be utilized as reference book for undergraduate and postgraduate students in electrical engineering.
Modeling and Control of Precision Actuators
by Tan Kok Kiong Huang SunanModeling and Control of Precision Actuators explores new technologies that can ultimately be applied in a myriad of industries. It covers dynamical analysis of precise actuators and strategies of design for various control applications. The book addresses four main schemes: modeling and control of precise actuators; nonlinear control of precise actuators, including sliding mode control and neural network feedback control; fault detection and fault-tolerant control; and advanced air bearing control. It covers application issues in the modeling and control of precise actuators, providing several interesting case studies for more application-oriented readers. Introduces the driving forces behind precise actuators Describes nonlinear dynamics of precise actuators and their mathematical forms, including hysteresis, creep, friction, and force ripples Presents the control strategies for precise actuators based on Preisach model as well as creep dynamics Develops relay feedback techniques for identifying nonlinearities such as friction and force ripples Discusses a MPC approach based on piecewise affine models which emulate the frictional effects in the precise actuator Covers the concepts of air bearing stages with the corresponding control method Provides a set of schemes suitable for fault detection and accommodation control of mechanical systems Emphasizing design theory and control strategies, the book includes simulation and practical examples for each chapter; covers precise actuators such as piezo motors, coil motors, air bearing motors, and linear motors; discusses integration among different technologies; and includes three case studies in real projects. The book concludes by linking design methods and their applications, emphasizing the key issues involved and how to implement the precision motion control tasks in a practical system. It provides a concise and comprehensive source of the state-of-the-art developments and results for modeling and control of precise actuators.
Modeling and Control of Uncertain Nonlinear Systems with Fuzzy Equations and Z-Number (IEEE Press Series on Systems Science and Engineering)
by Wen Yu Raheleh JafariThere are various numerical and analytical approaches to the modeling and control of uncertain nonlinear systems. Fuzzy logic theory is an increasingly popular method used to solve inconvenience problems in nonlinear modeling. Modeling and Control of Uncertain Nonlinear Systems with Fuzzy Equations and Z-Number presents a structured approach to the control and modeling of uncertain nonlinear systems in industry using fuzzy equations and fuzzy differential equations. <p><p> The first major work to explore methods based on neural networks and Bernstein neural networks, this innovative volume provides a framework for control and modeling of uncertain nonlinear systems with applications to industry. Readers learn how to use fuzzy techniques to solve scientific and engineering problems and understand intelligent control design and applications. The text assembles the results of four years of research on control of uncertain nonlinear systems with dual fuzzy equations, fuzzy modeling for uncertain nonlinear systems with fuzzy equations, the numerical solution of fuzzy equations with Z-numbers, and the numerical solution of fuzzy differential equations with Z-numbers. <p> Modeling and Control of Uncertain Nonlinear Systems with Fuzzy Equations and Z-Number is suitable as a textbook for advanced students, academic and industrial researchers, and practitioners in fields of systems engineering, learning control systems, neural networks, computational intelligence, and fuzzy logic control.
Modeling and Control of Vibration in Mechanical Systems (Automation and Control Engineering #38)
by Lihua Xie Chunling DuFrom the ox carts and pottery wheels the spacecrafts and disk drives, efficiency and quality has always been dependent on the engineer’s ability to anticipate and control the effects of vibration. And while progress in negating the noise, wear, and inefficiency caused by vibration has been made, more is needed. Modeling and Control of Vibration in Mechanical Systems answers the essential needs of practitioners in systems and control with the most comprehensive resource available on the subject. Written as a reference for those working in high precision systems, this uniquely accessible volume: Differentiates between kinds of vibration and their various characteristics and effects Offers a close-up look at mechanical actuation systems that are achieving remarkably high precision positioning performance Includes techniques for rejecting vibrations of different frequency ranges Covers the theoretical developments and principles of control design with detail elaborate enough that readers will be able to apply the techniques with the help of MATLAB® Details a wealth of practical working examples as well as a number of simulation and experimental results with comprehensive evaluations The modern world’s ever-growing spectra of sophisticated engineering systems such as hard disk drives, aeronautic systems, and manufacturing systems have little tolerance for unanticipated vibration of even the slightest magnitude. Accordingly, vibration control continues to draw intensive focus from top control engineers and modelers. This resource demonstrates the remarkable results of that focus to date, and most importantly gives today’s researchers the technology that they need to build upon into the future. Chunling Du is currently researching modeling and advanced servo control of hard disk drives at the Data Storage Institute in Singapore. Lihua Xie is the Director of the Centre for Intelligent Machines and a professor at Nanyang Technological University in Singapore.
Modeling and Control of a Tracked Mobile Robot for Pipeline Inspection (Mechanisms and Machine Science #82)
by Michał Ciszewski Mariusz Giergiel Tomasz Buratowski Piotr MałkaThis book describes the design, mathematical modeling, control system development and experimental validation of a versatile mobile pipe inspection robot. It also discusses a versatile robotic system for pipeline inspection, together with an original, adaptable tracked mobile robot featuring a patented motion unit. Pipeline inspection is a common field of application for mobile robots because the monitoring of inaccessible, long and narrow pipelines is a very difficult task for humans. The main design objective is to minimize the number of robots needed to inspect different types of horizontal and vertical pipelines, with both smooth and rough surfaces. The book includes extensive information on the various design phases, mathematical modeling, simulations and control system development. In closing, the prototype construction process and testing procedures are presented and supplemented with laboratory and field experiments.
Modeling and Convexity
by Rubens Sampaio Eduardo Souza de CursiThis reference book gives the reader a complete but comprehensive presentation of the foundations of convex analysis and presents applications to significant situations in engineering. The presentation of the theory is self-contained and the proof of all the essential results is given. The examples consider meaningful situations such as the modeling of curvilinear structures, the motion of a mass of people or the solidification of a material. Non convex situations are considered by means of relaxation methods and the connections between probability and convexity are explored and exploited in order to generate numerical algorithms.
Modeling and Design of Electromagnetic Compatibility for High-Speed Printed Circuit Boards and Packaging
by Xing-Chang WeiModeling and Design of Electromagnetic Compatibility for High-Speed Printed Circuit Boards and Packaging presents the electromagnetic modelling and design of three major electromagnetic compatibility (EMC) issues related to the high-speed printed circuit board (PCB) and electronic packages: signal integrity (SI), power integrity (PI), and electromagnetic interference (EMI). The emphasis is put on two essential passive components of PCBs and packages: the power distribution network and the signal distribution network. This book includes two parts. Part one talks about the field-circuit hybrid methods used for the EMC modeling, including the modal method, the integral equation method, the cylindrical wave expansion method and the de-embedding method. Part two illustrates EMC design methods and explores the applications of novel metamaterials and two-dimensional materials on traditional EMC problems. This book is designed to enhance worthwhile electromagnetic theory and mathematical methods for practical engineers and to train students with advanced EMC applications.
Modeling and Design of Flexible Pavements and Materials
by David H. Allen Dallas N. Little Amit BhasinThis textbook lays out the state of the art for modeling of asphalt concrete as the major structural component of flexible pavements. The text adopts a pedagogy in which a scientific approach, based on materials science and continuum mechanics, predicts the performance of any configuration of flexible roadways subjected to cyclic loadings. The authors incorporate state-of the-art computational mechanics to predict the evolution of material properties, stresses and strains, and roadway deterioration. Designed specifically for both students and practitioners, the book presents fundamentally complex concepts in a clear and concise way that aids the roadway design community to assimilate the tools for designing sustainable roadways using both traditional and innovative technologies.
Modeling and Design of Secure Internet of Things
by Alexander Kott Sachin Shetty Charles A. Kamhoua Laurent L. NjillaAn essential guide to the modeling and design techniques for securing systems that utilize the Internet of Things Modeling and Design of Secure Internet of Things offers a guide to the underlying foundations of modeling secure Internet of Things' (IoT) techniques. The contributors—noted experts on the topic—also include information on practical design issues that are relevant for application in the commercial and military domains. They also present several attack surfaces in IoT and secure solutions that need to be developed to reach their full potential. The book offers material on security analysis to help with in understanding and quantifying the impact of the new attack surfaces introduced by IoT deployments. The authors explore a wide range of themes including: modeling techniques to secure IoT, game theoretic models, cyber deception models, moving target defense models, adversarial machine learning models in military and commercial domains, and empirical validation of IoT platforms. This important book: Presents information on game-theory analysis of cyber deception Includes cutting-edge research finding such as IoT in the battlefield, advanced persistent threats, and intelligent and rapid honeynet generation Contains contributions from an international panel of experts Addresses design issues in developing secure IoT including secure SDN-based network orchestration, networked device identity management, multi-domain battlefield settings, and smart cities Written for researchers and experts in computer science and engineering, Modeling and Design of Secure Internet of Things contains expert contributions to provide the most recent modeling and design techniques for securing systems that utilize Internet of Things.
Modeling and Dimensioning of Structures: An Introduction
by Daniel Gay Jacques GambelinThis book provides the main topics currently used for the calculus of structures. The reference establishes a link between the traditional approach on the strength of materials and the present finite element method, details the main aspects of practical modeling, and explores numerous case studies.
Modeling and Dynamics Control for Distributed Drive Electric Vehicles
by Xudong ZhangDue to the improvements on electric motors and motor control technology, alternative vehicle power system layouts have been considered. One of the latest is known as distributed drive electric vehicles (DDEVs), which consist of four motors that are integrated into each drive and can be independently controllable. Such an innovative design provides packaging advantages, including short transmission chain, fast and accurate torque response, and so on. Based on these advantages and features, this book takes stability and energy-saving as cut-in points, and conducts investigations from the aspects of Vehicle State Estimation, Direct Yaw Moment Control (DYC), Control Allocation (CA). Moreover, lots of advanced algorithms, such as general regression neural network, adaptive sliding mode control-based optimization, as well as genetic algorithms, are applied for a better control performance.
Modeling and Estimation of Structural Damage
by Jonathan M. Nichols Kevin D. MurphyModelling and Estimation of Damage in Structures is a comprehensiveguide to solving the type of modelling and estimation problems associated with the physics of structural damage. Provides a model-based approach to damage identification Presents an in-depth treatment of probability theory and random processes Covers both theory and algorithms for implementing maximum likelihood and Bayesian estimation approaches Includes experimental examples of all detection and identification approaches Provides a clear means by which acquired data can be used to make decisions regarding maintenance and usage of a structure
Modeling and Evaluating Denial of Service Attacks for Wireless and Mobile Applications
by Cliff Wang Zhou Lu Wenye WangThis SpringerBrief covers modeling and analysis of Denial-of-Service attacks in emerging wireless and mobile applications. It uses an application-specific methodology to model and evaluate denial-of-service attacks. Three emerging applications are explored: multi-modal CSMA/CA networks, time-critical networks for the smart grid, and smart phone applications. The authors define a new performance metric to quantify the benefits of backoff misbehavior and show the impacts of a wide range of backoff mishandling nodes on the network performance, and propose a scheme to minimize the delay of time-critical message delivery under jamming attacks in smart grid applications. An investigation on the resilience of mobile services against malware attacks is included to advance understanding of network vulnerabilities associated with emerging wireless networks and offers instrumental guidance into the security design for future wireless and mobile applications. This book is appropriate for students, faculty, engineers, and experts in the technical area of wireless communication, mobile networks and cyber security.
Modeling and Forecasting of Staffing in Civil Aviation (Springer Aerospace Technology)
by Anzhela Borzova Yuri Chinyuchin Vadim Vorobyov Dmitry ZatuchnyThis book highlights issues related to the organization and improvement of the efficiency of training system in technical operation of radio-electronic equipment currently used in civil aviation. The increasing intensity of air traffic around the world leads to a quantitative increase in old problems and the emergence of qualitatively new ones that can only be solved by trained people, whose training process should be carried out on a systematic basis. Modern approaches to improving the human resources potential of civil aviation, as a rule, are based only on modernizing the management mechanisms of the training system. One of the main advantages of this book is the unique integrated approach to building a system for training aviation personnel in the field of technical operation of radio-electronic equipment and air traffic control, which consists in taking into account various factors that affect the training of specialists, promising areas of development of civil aviation based on the analysis of various guidance documents and the construction of mathematical models that give a qualitative assessment of existing methods and the proposed new methodology. The book contains a large amount of visual illustrative material showing the existing structure of the system of training in the field of civil aviation.
Modeling and Management of Fuzzy Semantic RDF Data (Studies in Computational Intelligence #1057)
by Zongmin Ma Guanfeng Li Ruizhe MaThis book systemically presents the latest research findings in fuzzy RDF data modeling and management. Fuzziness widely exist in many data and knowledge intensive applications. With the increasing amount of metadata available, efficient and scalable management of massive semantic data with uncertainty is of crucial importance. This book goes to great depth concerning the fast-growing topic of technologies and approaches of modeling and managing fuzzy metadata with Resource Description Framework (RDF) format. Its major topics include representation of fuzzy RDF data, fuzzy RDF graph matching, query of fuzzy RDF data, and persistence of fuzzy RDF data in diverse databases. The objective of the book is to provide the state-of-the-art information to researchers, practitioners, and postgraduates students who work on the area of big data intelligence and at the same time serve as the uncertain data and knowledge engineering professional as a valuable real-world reference.
Modeling and Managing Interdependent Complex Systems of Systems: Interdependent Complex System Of Systems (Wiley - IEEE)
by Yacov Y. HaimesA comprehensive guide to the theory, methodology, and development for modeling systems of systems Modeling and Managing Interdependent Complex Systems of Systems examines the complexity of, and the risk to, emergent interconnected and interdependent complex systems of systems in the natural and the constructed environment, and in its critical infrastructures. For systems modelers, this book focuses on what constitutes complexity and how to understand, model and manage it.Previous modeling methods for complex systems of systems were aimed at developing theory and methodologies for uncoupling the interdependencies and interconnections that characterize them. In this book, the author extends the above by utilizing public- and private- sector case studies; identifies, explores, and exploits the core of interdependencies; and seeks to understand their essence via the states of the system, and their dominant contributions to the complexity of systems of systems. The book proposes a reevaluation of fundamental and practical systems engineering and risk analysis concepts on complex systems of systems developed over the past 40 years. This important resource: Updates and streamlines systems engineering theory, methodology, and practice as applied to complex systems of systems Introduces modeling methodology inspired by philosophical and conceptual thinking from the arts and sciences Models the complexity of emergent interdependent and interconnected complex systems of systems by analyzing their shared states, decisions, resources, and decisionmakers Written for systems engineers, industrial engineers, managers, planners, academics and other professionals in engineering systems and the environment,this text is the resource for understanding the fundamental principles of modeling and managing complex systems of systems, and the risk thereto.
Modeling and Optimization for Mobile Social Networks
by Xuemin Sherman Shen Kuan Zhang Zhou Su Qichao XuThis book investigates the modeling and optimization issues in mobile social networks (MSNs). Firstly, the architecture and applications of MSNs are examined. The existing works on MSNs are reviewed by specifying the critical challenges and research issues. Then, with the introduction of MSN-based social graph and information dissemination mechanisms, the analytical model for epidemic information dissemination with opportunistic Links in MSNs is discussed. In addition, optimal resource allocation is studied based on a heterogeneous architecture, which provides mobile social services with high capacity and low latency. Finally, this book summarize some open problems and future research directions in MSNs. Written for researchers and academics, this book is useful for anyone working on mobile networks, network architecture, or content delivery. It is also valuable for advanced-level students of computer science.
Modeling and Optimization in Green Logistics
by Patrick Siarry Bassem Jarboui Houda DerbelThis book presents recent work that analyzes general issues of green logistics and smart cities. The contributed chapters consider operating models with important ecological, economic, and social objectives.The content will be valuable for researchers and postgraduate students in computer science, information technology, industrial engineering, and applied mathematics.
Modeling and Optimization in Manufacturing: Toward Greener Production by Integrating Computer Simulation
by Jun Jiang Catalin I. PruncuDiscover the state-of-the-art in multiscale modeling and optimization in manufacturing from two leading voices in the field Modeling and Optimization in Manufacturing delivers a comprehensive approach to various manufacturing processes and shows readers how multiscale modeling and optimization processes help improve upon them. The book elaborates on the foundations and applications of computational modeling and optimization processes, as well as recent developments in the field. It offers discussions of manufacturing processes, including forming, machining, casting, joining, coating, and additive manufacturing, and how computer simulations have influenced their development. Examples for each category of manufacturing are provided in the text, and industrial applications are described for the reader. The distinguished authors also provide an insightful perspective on likely future trends and developments in manufacturing modeling and optimization, including the use of large materials databases and machine learning. Readers will also benefit from the inclusion of: A thorough introduction to the origins of manufacturing, the history of traditional and advanced manufacturing, and recent progress in manufacturing An exploration of advanced manufacturing and the environmental impact and significance of manufacturing Practical discussions of the economic importance of advanced manufacturing An examination of the sustainability of advanced manufacturing, and developing and future trends in manufacturing Perfect for materials scientists, mechanical engineers, and process engineers, Modeling and Optimization in Manufacturing will also earn a place in the libraries of engineering scientists in industries seeking a one-stop reference on multiscale modeling and optimization in manufacturing.
Modeling and Optimization in Space Engineering
by Giorgio Fasano János D. PintérThis volume presents a selection of advanced case studies that address a substantial range of issues and challenges arising in space engineering. The contributing authors are well-recognized researchers and practitioners in space engineering and in applied optimization. The key mathematical modeling and numerical solution aspects of each application case study are presented in sufficient detail. Classic and more recent space engineering problems - including cargo accommodation and object placement, flight control of satellites, integrated design and trajectory optimization, interplanetary transfers with deep space manoeuvres, low energy transfers, magnetic cleanliness modeling, propulsion system design, sensor system placement, systems engineering, space traffic logistics, and trajectory optimization - are discussed. Novel points of view related to computational global optimization and optimal control, and to multidisciplinary design optimization are also given proper emphasis. A particular attention is paid also to scenarios expected in the context of future interplanetary explorations. Modeling and Optimization in Space Engineering will benefit researchers and practitioners working on space engineering applications. Academics, graduate and post-graduate students in the fields of aerospace and other engineering, applied mathematics, operations research and optimal control will also find the book useful, since it discusses a range of advanced model development and solution techniques and tools in the context of real-world applications and new challenges.
Modeling and Optimization in Space Engineering: State of the Art and New Challenges (Springer Optimization and Its Applications #144)
by Giorgio Fasano János D. PintérThis book presents advanced case studies that address a range of important issues arising in space engineering. An overview of challenging operational scenarios is presented, with an in-depth exposition of related mathematical modeling, algorithmic and numerical solution aspects. The model development and optimization approaches discussed in the book can be extended also towards other application areas. The topics discussed illustrate current research trends and challenges in space engineering as summarized by the following list: • Next Generation Gravity Missions • Continuous-Thrust Trajectories by Evolutionary Neurocontrol • Nonparametric Importance Sampling for Launcher Stage Fallout • Dynamic System Control Dispatch • Optimal Launch Date of Interplanetary Missions • Optimal Topological Design • Evidence-Based Robust Optimization • Interplanetary Trajectory Design by Machine Learning • Real-Time Optimal Control • Optimal Finite Thrust Orbital Transfers • Planning and Scheduling of Multiple Satellite Missions • Trajectory Performance Analysis • Ascent Trajectory and Guidance Optimization • Small Satellite Attitude Determination and Control • Optimized Packings in Space Engineering • Time-Optimal Transfers of All-Electric GEO Satellites Researchers working on space engineering applications will find this work a valuable, practical source of information. Academics, graduate and post-graduate students working in aerospace, engineering, applied mathematics, operations research, and optimal control will find useful information regarding model development and solution techniques, in conjunction with real-world applications.