Distributed Network Structure Estimation Using Consensus Methods

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Distributed Network Structure Estimation Using Consensus Methods

Author : Sai Zhang
Publisher : Springer Nature
ISBN 13 : 303101684X
Total Pages : 76 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Distributed Network Structure Estimation Using Consensus Methods by : Sai Zhang

Download or read book Distributed Network Structure Estimation Using Consensus Methods written by Sai Zhang and published by Springer Nature. This book was released on 2022-05-31 with total page 76 pages. Available in PDF, EPUB and Kindle. Book excerpt: The area of detection and estimation in a distributed wireless sensor network (WSN) has several applications, including military surveillance, sustainability, health monitoring, and Internet of Things (IoT). Compared with a wired centralized sensor network, a distributed WSN has many advantages including scalability and robustness to sensor node failures. In this book, we address the problem of estimating the structure of distributed WSNs. First, we provide a literature review in: (a) graph theory; (b) network area estimation; and (c) existing consensus algorithms, including average consensus and max consensus. Second, a distributed algorithm for counting the total number of nodes in a wireless sensor network with noisy communication channels is introduced. Then, a distributed network degree distribution estimation (DNDD) algorithm is described. The DNDD algorithm is based on average consensus and in-network empirical mass function estimation. Finally, a fully distributed algorithm for estimating the center and the coverage region of a wireless sensor network is described. The algorithms introduced are appropriate for most connected distributed networks. The performance of the algorithms is analyzed theoretically, and simulations are performed and presented to validate the theoretical results. In this book, we also describe how the introduced algorithms can be used to learn global data information and the global data region.

Consensus Algorithms and Distributed Structure Estimation in Wireless Sensor Networks

Author : Sai Zhang (Electrical engineer)
Publisher :
ISBN 13 :
Total Pages : 124 pages
Book Rating : 4.:/5 (123 download)

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Book Synopsis Consensus Algorithms and Distributed Structure Estimation in Wireless Sensor Networks by : Sai Zhang (Electrical engineer)

Download or read book Consensus Algorithms and Distributed Structure Estimation in Wireless Sensor Networks written by Sai Zhang (Electrical engineer) and published by . This book was released on 2017 with total page 124 pages. Available in PDF, EPUB and Kindle. Book excerpt: Distributed wireless sensor networks (WSNs) have attracted researchers recently due to their advantages such as low power consumption, scalability and robustness to link failures. In sensor networks with no fusion center, consensus is a process where all the sensors in the network achieve global agreement using only local transmissions. In this dissertation, several consensus and consensus-based algorithms in WSNs are studied. Firstly, a distributed consensus algorithm for estimating the maximum and minimum value of the initial measurements in a sensor network in the presence of communication noise is proposed. In the proposed algorithm, a soft-max approximation together with a non-linear average consensus algorithm is used. A design parameter controls the trade-off between the soft-max error and convergence speed. An analysis of this trade-off gives guidelines towards how to choose the design parameter for the max estimate. It is also shown that if some prior knowledge of the initial measurements is available, the consensus process can be accelerated.Secondly, a distributed system size estimation algorithm is proposed. The proposed algorithm is based on distributed average consensus and L2 norm estimation. Different sources of error are explicitly discussed, and the distribution of the final estimate is derived. The CRBs for system size estimator with average and max consensus strategies are also considered, and different consensus based system size estimation approaches are compared.Then, a consensus-based network center and radius estimation algorithm is described. The center localization problem is formulated as a convex optimization problem with a summation form by using soft-max approximation with exponential functions. Distributed optimization methods such as stochastic gradient descent and diffusion adaptation are used to estimate the center. Then, max consensus is used to compute the radius of the network area. Finally, two average consensus based distributed estimation algorithms are introduced: distributed degree distribution estimation algorithm and algorithm for tracking the dynamics of the desired parameter. Simulation results for all proposed algorithms are provided.

Studies to Combat COVID-19 using Science and Engineering

Author : Dana Barry
Publisher : Springer Nature
ISBN 13 : 9811913560
Total Pages : 189 pages
Book Rating : 4.8/5 (119 download)

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Book Synopsis Studies to Combat COVID-19 using Science and Engineering by : Dana Barry

Download or read book Studies to Combat COVID-19 using Science and Engineering written by Dana Barry and published by Springer Nature. This book was released on 2022-06-27 with total page 189 pages. Available in PDF, EPUB and Kindle. Book excerpt: This unique book provides excellent examples of ongoing, leading-edge research related to viruses, especially COVID-19. It is written from the viewpoint of various scientific fields including materials science. It introduces and describes viruses (submicroscopic infectious agents that replicate inside the living cells of an organism), various infections caused by viruses (human to human, human to other organisms to humans, humans to materials to humans, etc.), not only from the viewpoint of medical research but also from other scientific disciplines. A major focus of the book is the COVID-19 virus. Highlighted topics include the evolution of COVID-19, transmission of virus particles through the air, virus spread through various materials, detection of the virus by testing wastewater, the development and testing of vaccines and therapeutic drugs, and the preparation for future viruses and pandemics. This includes reform in funeral services to properly and safely accommodate very large numbers of bodies in a pandemic, like those seen in New York City when it was the epicenter for the virus in the United States. This book serves as an excellent and very informative guide (practical book) for engineers and researchers of various backgrounds and as a great academic textbook.

Camera Networks

Author : Matthew Turk
Publisher : Springer Nature
ISBN 13 : 3031018117
Total Pages : 119 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Camera Networks by : Matthew Turk

Download or read book Camera Networks written by Matthew Turk and published by Springer Nature. This book was released on 2022-05-31 with total page 119 pages. Available in PDF, EPUB and Kindle. Book excerpt: As networks of video cameras are installed in many applications like security and surveillance, environmental monitoring, disaster response, and assisted living facilities, among others, image understanding in camera networks is becoming an important area of research and technology development. There are many challenges that need to be addressed in the process. Some of them are listed below: - Traditional computer vision challenges in tracking and recognition, robustness to pose, illumination, occlusion, clutter, recognition of objects, and activities; - Aggregating local information for wide area scene understanding, like obtaining stable, long-term tracks of objects; - Positioning of the cameras and dynamic control of pan-tilt-zoom (PTZ) cameras for optimal sensing; - Distributed processing and scene analysis algorithms; - Resource constraints imposed by different applications like security and surveillance, environmental monitoring, disaster response, assisted living facilities, etc. In this book, we focus on the basic research problems in camera networks, review the current state-of-the-art and present a detailed description of some of the recently developed methodologies. The major underlying theme in all the work presented is to take a network-centric view whereby the overall decisions are made at the network level. This is sometimes achieved by accumulating all the data at a central server, while at other times by exchanging decisions made by individual cameras based on their locally sensed data. Chapter One starts with an overview of the problems in camera networks and the major research directions. Some of the currently available experimental testbeds are also discussed here. One of the fundamental tasks in the analysis of dynamic scenes is to track objects. Since camera networks cover a large area, the systems need to be able to track over such wide areas where there could be both overlapping and non-overlapping fields of view of the cameras, as addressed in Chapter Two: Distributed processing is another challenge in camera networks and recent methods have shown how to do tracking, pose estimation and calibration in a distributed environment. Consensus algorithms that enable these tasks are described in Chapter Three. Chapter Four summarizes a few approaches on object and activity recognition in both distributed and centralized camera network environments. All these methods have focused primarily on the analysis side given that images are being obtained by the cameras. Efficient utilization of such networks often calls for active sensing, whereby the acquisition and analysis phases are closely linked. We discuss this issue in detail in Chapter Five and show how collaborative and opportunistic sensing in a camera network can be achieved. Finally, Chapter Six concludes the book by highlighting the major directions for future research. Table of Contents: An Introduction to Camera Networks / Wide-Area Tracking / Distributed Processing in Camera Networks / Object and Activity Recognition / Active Sensing / Future Research Directions

Networked Filtering and Fusion in Wireless Sensor Networks

Author : Magdi S. Mahmoud
Publisher : CRC Press
ISBN 13 : 1482250969
Total Pages : 578 pages
Book Rating : 4.4/5 (822 download)

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Book Synopsis Networked Filtering and Fusion in Wireless Sensor Networks by : Magdi S. Mahmoud

Download or read book Networked Filtering and Fusion in Wireless Sensor Networks written by Magdi S. Mahmoud and published by CRC Press. This book was released on 2014-12-20 with total page 578 pages. Available in PDF, EPUB and Kindle. Book excerpt: By exploiting the synergies among available data, information fusion can reduce data traffic, filter noisy measurements, and make predictions and inferences about a monitored entity. Networked Filtering and Fusion in Wireless Sensor Networks introduces the subject of multi-sensor fusion as the method of choice for implementing distributed systems. The book examines the state of the art in information fusion. It presents the known methods, algorithms, architectures, and models of information fusion and discusses their applicability in the context of wireless sensor networks (WSNs). Paying particular attention to the wide range of topics that have been covered in recent literature, the text presents the results of a number of typical case studies. Complete with research supported elements and comprehensive references, this teaching-oriented volume uses standard scientific terminology, conventions, and notations throughout. It applies recently developed convex optimization theory and highly efficient algorithms in estimation fusion to open up discussion and provide researchers with an ideal starting point for further research on distributed estimation and fusion for WSNs. The book supplies a cohesive overview of the key results of theory and applications of information-fusion-related problems in networked systems in a unified framework. Providing advanced mathematical treatment of fundamental problems with information fusion, it will help you broaden your understanding of prospective applications and how to address such problems in practice. After reading the book, you will gain the understanding required to model parts of dynamic systems and use those models to develop distributed fusion control algorithms that are based on feedback control theory.

Cooperative Control of Nonlinear Networked Systems

Author : Yongduan Song
Publisher : Springer
ISBN 13 : 3030049728
Total Pages : 197 pages
Book Rating : 4.0/5 (3 download)

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Book Synopsis Cooperative Control of Nonlinear Networked Systems by : Yongduan Song

Download or read book Cooperative Control of Nonlinear Networked Systems written by Yongduan Song and published by Springer. This book was released on 2019-01-01 with total page 197 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cooperative Control of Nonlinear Networked Systems is concerned with the distributed cooperative control of multiple networked nonlinear systems in the presence of unknown non-parametric uncertainties and non-vanishing disturbances under certain communication conditions. It covers stability analysis tools and distributed control methods for analyzing and synthesizing nonlinear networked systems. The book presents various solutions to cooperative control problems of multiple networked nonlinear systems on graphs. The book includes various examples with segments of MATLAB® codes for readers to verify, validate, and replicate the results. The authors present a series of new control results for nonlinear networked systems subject to both non-parametric and non-vanishing uncertainties, including the cooperative uniformly ultimately bounded (CUUB) result, finite-time stability result, and finite-time cooperative uniformly ultimately bounded (FT-CUUB) result. With some mathematical tools, such as algebraic graph theory and certain aspects of matrix analysis theory introduced by the authors, the readers can obtain a deeper understanding of the roles of matrix operators as mathematical machinery for cooperative control design for multi-agent systems. Cooperative Control of Nonlinear Networked Systems is a valuable source of information for researchers and engineers in cooperative adaptive control, as its technical contents are presented with examples in full analytical and numerical detail, and graphically illustrated for easy-to-understand results. Scientists in research institutes and academics in universities working on nonlinear systems, adaptive control and distributed control will find the book of interest, as it contains multi-disciplinary problems and covers different areas of research.

Observer-Based Fault Estimation Techniques

Author : Ke Zhang
Publisher : Springer
ISBN 13 : 3319674927
Total Pages : 194 pages
Book Rating : 4.3/5 (196 download)

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Book Synopsis Observer-Based Fault Estimation Techniques by : Ke Zhang

Download or read book Observer-Based Fault Estimation Techniques written by Ke Zhang and published by Springer. This book was released on 2017-10-11 with total page 194 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book investigates observer-fault estimation techniques in detail, while also highlighting recent research and findings regarding fault estimation. Many practical control systems are subject to possible malfunctions, which may cause significant performance loss or even system instability. To improve the reliability, performance and safety of dynamical systems, fault diagnosis techniques are now receiving considerable attention, both in research and applications, and have been the subject of intensive investigations. Fault detection – the essential first step in fault diagnosis – is a binary decision-making process used to determine whether or not a fault has occurred. In turn, fault isolation is used to identify the location of the faulty component, while fault estimation is used to identify the size of the fault online. Compared with the problems involved in fault detection and isolation, fault estimation is considerably more challenging.

Advances and Technologies in High Voltage Power Systems Operation, Control, Protection and Security

Author : Hassan Haes Alhelou
Publisher : MDPI
ISBN 13 : 3036511407
Total Pages : 208 pages
Book Rating : 4.0/5 (365 download)

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Book Synopsis Advances and Technologies in High Voltage Power Systems Operation, Control, Protection and Security by : Hassan Haes Alhelou

Download or read book Advances and Technologies in High Voltage Power Systems Operation, Control, Protection and Security written by Hassan Haes Alhelou and published by MDPI. This book was released on 2021-08-30 with total page 208 pages. Available in PDF, EPUB and Kindle. Book excerpt: The electrical demands in several countries around the world are increasing due to the huge energy requirements of prosperous economies and the human activities of modern life. In order to economically transfer electrical powers from the generation side to the demand side, these powers need to be transferred at high-voltage levels through suitable transmission systems and power substations. To this end, high-voltage transmission systems and power substations are in demand. Actually, they are at the heart of interconnected power systems, in which any faults might lead to unsuitable consequences, abnormal operation situations, security issues, and even power cuts and blackouts. In order to cope with the ever-increasing operation and control complexity and security in interconnected high-voltage power systems, new architectures, concepts, algorithms, and procedures are essential. This book aims to encourage researchers to address the technical issues and research gaps in high-voltage transmission systems and power substations in modern energy systems.

Target Tracking with Random Finite Sets

Author : Weihua Wu
Publisher : Springer Nature
ISBN 13 : 9811998159
Total Pages : 449 pages
Book Rating : 4.8/5 (119 download)

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Book Synopsis Target Tracking with Random Finite Sets by : Weihua Wu

Download or read book Target Tracking with Random Finite Sets written by Weihua Wu and published by Springer Nature. This book was released on 2023-08-02 with total page 449 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on target tracking and information fusion with random finite sets. Both principles and implementations have been addressed, with more weight placed on engineering implementations. This is achieved by providing in-depth study on a number of major topics such as the probability hypothesis density (PHD), cardinalized PHD, multi-Bernoulli (MB), labeled MB (LMB), d-generalized LMB (d-GLMB), marginalized d-GLMB, together with their Gaussian mixture and sequential Monte Carlo implementations. Five extended applications are covered, which are maneuvering target tracking, target tracking for Doppler radars, track-before-detect for dim targets, target tracking with non-standard measurements, and target tracking with multiple distributed sensors. The comprehensive and systematic summarization in target tracking with RFSs is one of the major features of the book, which is particularly suited for readers who are interested to learn solutions in target tracking with RFSs. The book benefits researchers, engineers, and graduate students in the fields of random finite sets, target tracking, sensor fusion/data fusion/information fusion, etc.

Principles of Cyber-Physical Systems

Author : Sandip Roy
Publisher : Cambridge University Press
ISBN 13 : 1108916074
Total Pages : 463 pages
Book Rating : 4.1/5 (89 download)

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Book Synopsis Principles of Cyber-Physical Systems by : Sandip Roy

Download or read book Principles of Cyber-Physical Systems written by Sandip Roy and published by Cambridge University Press. This book was released on 2020-10-15 with total page 463 pages. Available in PDF, EPUB and Kindle. Book excerpt: This unique introduction to the foundational concepts of cyber-physical systems (CPS) describes key design principles and emerging research trends in detail. Several interdisciplinary applications are covered, with a focus on the wide-area management of infrastructures including electric power systems, air transportation networks, and health care systems. Design, control and optimization of cyber-physical infrastructures are discussed, addressing security and privacy issues of networked CPS, presenting graph-theoretic and numerical approaches to CPS evaluation and monitoring, and providing readers with the knowledge needed to operate CPS in a reliable, efficient, and secure manner. Exercises are included. This is an ideal resource for researchers and graduate students in electrical engineering and computer science, as well as for practitioners using cyber-physical systems in aerospace and automotive engineering, medical technology, and large-scale infrastructure operations.

Proceedings of 2023 7th Chinese Conference on Swarm Intelligence and Cooperative Control

Author : Jianglong Yu
Publisher : Springer Nature
ISBN 13 : 9819733324
Total Pages : 700 pages
Book Rating : 4.8/5 (197 download)

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Book Synopsis Proceedings of 2023 7th Chinese Conference on Swarm Intelligence and Cooperative Control by : Jianglong Yu

Download or read book Proceedings of 2023 7th Chinese Conference on Swarm Intelligence and Cooperative Control written by Jianglong Yu and published by Springer Nature. This book was released on with total page 700 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Proceedings of 2023 7th Chinese Conference on Swarm Intelligence and Cooperative Control

Author : Guo-Ping Jiang
Publisher : Springer Nature
ISBN 13 : 9819733405
Total Pages : 674 pages
Book Rating : 4.8/5 (197 download)

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Book Synopsis Proceedings of 2023 7th Chinese Conference on Swarm Intelligence and Cooperative Control by : Guo-Ping Jiang

Download or read book Proceedings of 2023 7th Chinese Conference on Swarm Intelligence and Cooperative Control written by Guo-Ping Jiang and published by Springer Nature. This book was released on with total page 674 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Duality and Approximation Methods for Cooperative Optimization and Control

Author : Mathias Bürger
Publisher : Logos Verlag Berlin GmbH
ISBN 13 : 3832536248
Total Pages : 166 pages
Book Rating : 4.8/5 (325 download)

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Book Synopsis Duality and Approximation Methods for Cooperative Optimization and Control by : Mathias Bürger

Download or read book Duality and Approximation Methods for Cooperative Optimization and Control written by Mathias Bürger and published by Logos Verlag Berlin GmbH. This book was released on 2014 with total page 166 pages. Available in PDF, EPUB and Kindle. Book excerpt: This thesis investigates the role of duality and the use of approximation methods in cooperative optimization and control. Concerning cooperative optimization, a general algorithm for convex optimization in networks with asynchronous communication is presented. Based on the idea of polyhedral approximations, a family of distributed algorithms is developed to solve a variety of distributed decision problems, ranging from semi-definite and robust optimization problems up to distributed model predictive control. Optimization theory, and in particular duality theory, are shown to be central elements also in cooperative control. This thesis establishes an intimate relation between passivity-based cooperative control and network optimization theory. The presented results provide a complete duality theory for passivity-based cooperative control and lead the way to novel analysis tools for complex dynamic phenomena. In this way, this thesis presents theoretical insights and algorithmic approaches for cooperative optimization and control, and emphasizes the role of convexity and duality in this field.

Applications and Methods in Genomic Networks

Author : Kimberly Glass
Publisher : Frontiers Media SA
ISBN 13 : 2889764826
Total Pages : 234 pages
Book Rating : 4.8/5 (897 download)

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Book Synopsis Applications and Methods in Genomic Networks by : Kimberly Glass

Download or read book Applications and Methods in Genomic Networks written by Kimberly Glass and published by Frontiers Media SA. This book was released on 2022-07-01 with total page 234 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Advances in Guidance, Navigation and Control

Author : Liang Yan
Publisher : Springer Nature
ISBN 13 : 9811966133
Total Pages : 7455 pages
Book Rating : 4.8/5 (119 download)

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Book Synopsis Advances in Guidance, Navigation and Control by : Liang Yan

Download or read book Advances in Guidance, Navigation and Control written by Liang Yan and published by Springer Nature. This book was released on 2023-02-10 with total page 7455 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book features the latest theoretical results and techniques in the field of guidance, navigation, and control (GNC) of vehicles and aircrafts. It covers a wide range of topics, including but not limited to, intelligent computing communication and control; new methods of navigation, estimation and tracking; control of multiple moving objects; manned and autonomous unmanned systems; guidance, navigation and control of miniature aircraft; and sensor systems for guidance, navigation and control etc. Presenting recent advances in the form of illustrations, tables, and text, it also provides detailed information of a number of the studies, to offer readers insights for their own research. In addition, the book addresses fundamental concepts and studies in the development of GNC, making it a valuable resource for both beginners and researchers wanting to further their understanding of guidance, navigation, and control.

Distributed Optimization: Advances in Theories, Methods, and Applications

Author : Huaqing Li
Publisher : Springer Nature
ISBN 13 : 9811561095
Total Pages : 243 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis Distributed Optimization: Advances in Theories, Methods, and Applications by : Huaqing Li

Download or read book Distributed Optimization: Advances in Theories, Methods, and Applications written by Huaqing Li and published by Springer Nature. This book was released on 2020-08-04 with total page 243 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers a valuable reference guide for researchers in distributed optimization and for senior undergraduate and graduate students alike. Focusing on the natures and functions of agents, communication networks and algorithms in the context of distributed optimization for networked control systems, this book introduces readers to the background of distributed optimization; recent developments in distributed algorithms for various types of underlying communication networks; the implementation of computation-efficient and communication-efficient strategies in the execution of distributed algorithms; and the frameworks of convergence analysis and performance evaluation. On this basis, the book then thoroughly studies 1) distributed constrained optimization and the random sleep scheme, from an agent perspective; 2) asynchronous broadcast-based algorithms, event-triggered communication, quantized communication, unbalanced directed networks, and time-varying networks, from a communication network perspective; and 3) accelerated algorithms and stochastic gradient algorithms, from an algorithm perspective. Finally, the applications of distributed optimization in large-scale statistical learning, wireless sensor networks, and for optimal energy management in smart grids are discussed.

Semi-Autonomous Networks

Author : Airlie Chapman
Publisher : Springer
ISBN 13 : 3319150103
Total Pages : 207 pages
Book Rating : 4.3/5 (191 download)

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Book Synopsis Semi-Autonomous Networks by : Airlie Chapman

Download or read book Semi-Autonomous Networks written by Airlie Chapman and published by Springer. This book was released on 2015-02-10 with total page 207 pages. Available in PDF, EPUB and Kindle. Book excerpt: This thesis analyzes and explores the design of controlled networked dynamic systems - dubbed semi-autonomous networks. The work approaches the problem of effective control of semi-autonomous networks from three fronts: protocols which are run on individual agents in the network; the network interconnection topology design; and efficient modeling of these often large-scale networks. The author extended the popular consensus protocol to advection and nonlinear consensus. The network redesign algorithms are supported by a game-theoretic and an online learning regret analysis.