Stochastic Averaging And Stochastic Extremum Seeking

Download Stochastic Averaging And Stochastic Extremum Seeking full books in PDF, epub, and Kindle. Read online Stochastic Averaging And Stochastic Extremum Seeking ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!

Stochastic Averaging and Stochastic Extremum Seeking

Author : Shu-Jun Liu
Publisher : Springer Science & Business Media
ISBN 13 : 1447140877
Total Pages : 226 pages
Book Rating : 4.4/5 (471 download)

DOWNLOAD NOW!

Book Synopsis Stochastic Averaging and Stochastic Extremum Seeking by : Shu-Jun Liu

Download or read book Stochastic Averaging and Stochastic Extremum Seeking written by Shu-Jun Liu and published by Springer Science & Business Media. This book was released on 2012-06-16 with total page 226 pages. Available in PDF, EPUB and Kindle. Book excerpt: Stochastic Averaging and Extremum Seeking treats methods inspired by attempts to understand the seemingly non-mathematical question of bacterial chemotaxis and their application in other environments. The text presents significant generalizations on existing stochastic averaging theory developed from scratch and necessitated by the need to avoid violation of previous theoretical assumptions by algorithms which are otherwise effective in treating these systems. Coverage is given to four main topics. Stochastic averaging theorems are developed for the analysis of continuous-time nonlinear systems with random forcing, removing prior restrictions on nonlinearity growth and on the finiteness of the time interval. The new stochastic averaging theorems are usable not only as approximation tools but also for providing stability guarantees. Stochastic extremum-seeking algorithms are introduced for optimization of systems without available models. Both gradient- and Newton-based algorithms are presented, offering the user the choice between the simplicity of implementation (gradient) and the ability to achieve a known, arbitrary convergence rate (Newton). The design of algorithms for non-cooperative/adversarial games is described. The analysis of their convergence to Nash equilibria is provided. The algorithms are illustrated on models of economic competition and on problems of the deployment of teams of robotic vehicles. Bacterial locomotion, such as chemotaxis in E. coli, is explored with the aim of identifying two simple feedback laws for climbing nutrient gradients. Stochastic extremum seeking is shown to be a biologically-plausible interpretation for chemotaxis. For the same chemotaxis-inspired stochastic feedback laws, the book also provides a detailed analysis of convergence for models of nonholonomic robotic vehicles operating in GPS-denied environments. The book contains block diagrams and several simulation examples, including examples arising from bacterial locomotion, multi-agent robotic systems, and economic market models. Stochastic Averaging and Extremum Seeking will be informative for control engineers from backgrounds in electrical, mechanical, chemical and aerospace engineering and to applied mathematicians. Economics researchers, biologists, biophysicists and roboticists will find the applications examples instructive.

Extremum Seeking Through Delays and PDEs

Author : Tiago Roux Oliveira
Publisher : SIAM
ISBN 13 : 1611977355
Total Pages : 461 pages
Book Rating : 4.6/5 (119 download)

DOWNLOAD NOW!

Book Synopsis Extremum Seeking Through Delays and PDEs by : Tiago Roux Oliveira

Download or read book Extremum Seeking Through Delays and PDEs written by Tiago Roux Oliveira and published by SIAM. This book was released on 2022-12-05 with total page 461 pages. Available in PDF, EPUB and Kindle. Book excerpt: Extremum Seeking through Delays and PDEs, the first book on the topic, expands the scope of applicability of the extremum seeking method, from static and finite-dimensional systems to infinite-dimensional systems. Readers will find numerous algorithms for model-free real-time optimization are developed and their convergence guaranteed, extensions from single-player optimization to noncooperative games, under delays and PDEs, are provided, the delays and PDEs are compensated in the control designs using the PDE backstepping approach, and stability is ensured using infinite-dimensional versions of averaging theory, and accessible and powerful tools for analysis. This book is intended for control engineers in all disciplines (electrical, mechanical, aerospace, chemical), mathematicians, physicists, biologists, and economists. It is appropriate for graduate students, researchers, and industrial users.

Control Systems and Reinforcement Learning

Author : Sean Meyn
Publisher : Cambridge University Press
ISBN 13 : 1009063391
Total Pages : 454 pages
Book Rating : 4.0/5 (9 download)

DOWNLOAD NOW!

Book Synopsis Control Systems and Reinforcement Learning by : Sean Meyn

Download or read book Control Systems and Reinforcement Learning written by Sean Meyn and published by Cambridge University Press. This book was released on 2022-06-09 with total page 454 pages. Available in PDF, EPUB and Kindle. Book excerpt: A high school student can create deep Q-learning code to control her robot, without any understanding of the meaning of 'deep' or 'Q', or why the code sometimes fails. This book is designed to explain the science behind reinforcement learning and optimal control in a way that is accessible to students with a background in calculus and matrix algebra. A unique focus is algorithm design to obtain the fastest possible speed of convergence for learning algorithms, along with insight into why reinforcement learning sometimes fails. Advanced stochastic process theory is avoided at the start by substituting random exploration with more intuitive deterministic probing for learning. Once these ideas are understood, it is not difficult to master techniques rooted in stochastic control. These topics are covered in the second part of the book, starting with Markov chain theory and ending with a fresh look at actor-critic methods for reinforcement learning.

Outliers in Control Engineering

Author : Paweł D. Domański
Publisher : Walter de Gruyter GmbH & Co KG
ISBN 13 : 3110729121
Total Pages : 272 pages
Book Rating : 4.1/5 (17 download)

DOWNLOAD NOW!

Book Synopsis Outliers in Control Engineering by : Paweł D. Domański

Download or read book Outliers in Control Engineering written by Paweł D. Domański and published by Walter de Gruyter GmbH & Co KG. This book was released on 2022-03-07 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: Outliers play an important, though underestimated, role in control engineering. Traditionally they are unseen and neglected. In opposition, industrial practice gives frequent examples of their existence and their mostly negative impacts on the control quality. The origin of outliers is never fully known. Some of them are generated externally to the process (exogenous), like for instance erroneous observations, data corrupted by control systems or the effect of human intervention. Such outliers appear occasionally with some unknow probability shifting real value often to some strange and nonsense value. They are frequently called deviants, anomalies or contaminants. In most cases we are interested in their detection and removal. However, there exists the second kind of outliers. Quite often strange looking data observations are not artificial data occurrences. They may be just representatives of the underlying generation mechanism being inseparable internal part of the process (endogenous outliers). In such a case they are not wrong and should be treated with cautiousness, as they may include important information about the dynamic nature of the process. As such they cannot be neglected nor simply removed. The Outlier should be detected, labelled and suitably treated. These activities cannot be performed without proper analytical tools and modeling approaches. There are dozens of methods proposed by scientists, starting from Gaussian-based statistical scoring up to data mining artificial intelligence tools. The research presented in this book presents novel approach incorporating non-Gaussian statistical tools and fractional calculus approach revealing new data analytics applied to this important and challenging task. The proposed book includes a collection of contributions addressing different yet cohesive subjects, like dynamic modelling, classical control, advanced control, fractional calculus, statistical analytics focused on an ultimate goal: robust and outlier-proof analysis. All studied problems show that outliers play an important role and classical methods, in which outlier are not taken into account, do not give good results. Applications from different engineering areas are considered such as semiconductor process control and monitoring, MIMO peltier temperature control and health monitoring, networked control systems, and etc.

Power Quality in Microgrids: Issues, Challenges and Mitigation Techniques

Author : Surender Reddy Salkuti
Publisher : Springer Nature
ISBN 13 : 9819920663
Total Pages : 584 pages
Book Rating : 4.8/5 (199 download)

DOWNLOAD NOW!

Book Synopsis Power Quality in Microgrids: Issues, Challenges and Mitigation Techniques by : Surender Reddy Salkuti

Download or read book Power Quality in Microgrids: Issues, Challenges and Mitigation Techniques written by Surender Reddy Salkuti and published by Springer Nature. This book was released on 2023-07-15 with total page 584 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a brief insight of various challenges and its mitigation techniques in microgrid due to power quality (PQ) issues. The central concept of this book revolves around the PQ issues in microgrid. The main objective of this book is to make aware of the power and control engineers with different innovative techniques to mitigate the challenges due to PQ issues in microgrid. The topics covered in this book are PQ disturbances in microgrid and different recent and innovative schemes to mitigate them. The book emphasizes technical issues, theoretical background, and practical applications that drive postgraduates, researchers, and practicing engineers with right advanced skills, vision, and knowledge in finding microgrid power quality issues, various technical challenges and providing mitigation techniques for the future sustainable microgrids.

Extremum-Seeking Control and Applications

Author : Chunlei Zhang
Publisher : Springer Science & Business Media
ISBN 13 : 9781447122241
Total Pages : 201 pages
Book Rating : 4.1/5 (222 download)

DOWNLOAD NOW!

Book Synopsis Extremum-Seeking Control and Applications by : Chunlei Zhang

Download or read book Extremum-Seeking Control and Applications written by Chunlei Zhang and published by Springer Science & Business Media. This book was released on 2011-10-26 with total page 201 pages. Available in PDF, EPUB and Kindle. Book excerpt: Extremum-seeking control tracks a varying maximum or minimum in a performance function such as output or cost. It attempts to determine the optimal performance of a control system as it operates, thereby reducing downtime and the need for system analysis. Extremum-seeking Control and Applications is divided into two parts. In the first, the authors review existing analog-optimization-based extremum-seeking control including gradient-, perturbation- and sliding-mode-based control designs. They then propose a novel numerical-optimization-based extremum-seeking control based on optimization algorithms and state regulation. This control design is developed for simple linear time-invariant systems and then extended for a class of feedback linearizable nonlinear systems. The two main optimization algorithms – line search and trust region methods – are analyzed for robustness. Finite-time and asymptotic state regulators are put forward for linear and nonlinear systems respectively. Further design flexibility is achieved using the robustness results of the optimization algorithms and the asymptotic state regulator by which existing nonlinear adaptive control techniques can be introduced for robust design. The approach used is easier to implement and tends to be more robust than those that use perturbation-based extremum-seeking control. The second part of the book deals with a variety of applications of extremum-seeking control: a comparative study of extremum-seeking control schemes in antilock braking system design; source seeking, formation control, collision and obstacle avoidance for groups of autonomous agents; mobile radar networks; and impedance matching. MATLAB®/Simulink® code which can be downloaded from www.springer.com/ISBN helps readers to reproduce the results presented in the text and gives them a head start for implementing the algorithms in their own applications. Extremum-seeking Control and Applications will interest academics and graduate students working in control, and industrial practitioners from a variety of backgrounds: systems, automotive, aerospace, communications, semiconductor and chemical engineering.

Lagrangian Probability Distributions

Author : Prem C. Consul
Publisher : Springer Science & Business Media
ISBN 13 : 0817644776
Total Pages : 352 pages
Book Rating : 4.8/5 (176 download)

DOWNLOAD NOW!

Book Synopsis Lagrangian Probability Distributions by : Prem C. Consul

Download or read book Lagrangian Probability Distributions written by Prem C. Consul and published by Springer Science & Business Media. This book was released on 2006-07-25 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: Fills a gap in book literature Examines many new Lagrangian probability distributions and their applications to a variety of different fields Presents background mathematical and statistical formulas for easy reference Detailed bibliography and index Exercises in many chapters May be used as a reference text or in graduate courses and seminars on Distribution Theory and Lagrangian Distributions

Photovoltaic Power System

Author : Weidong Xiao
Publisher : John Wiley & Sons
ISBN 13 : 1119280362
Total Pages : 400 pages
Book Rating : 4.1/5 (192 download)

DOWNLOAD NOW!

Book Synopsis Photovoltaic Power System by : Weidong Xiao

Download or read book Photovoltaic Power System written by Weidong Xiao and published by John Wiley & Sons. This book was released on 2017-05-05 with total page 400 pages. Available in PDF, EPUB and Kindle. Book excerpt: Photovoltaic Power System: Modelling, Design and Control is an essential reference with a practical approach to photovoltaic (PV) power system analysis and control. It systematically guides readers through PV system design, modelling, simulation, maximum power point tracking and control techniques making this invaluable resource to students and professionals progressing from different levels in PV power engineering. The development of this book follows the author's 15-year experience as an electrical engineer in the PV engineering sector and as an educator in academia. It provides the background knowledge of PV power system but will also inform research direction. Key features: Details modern converter topologies and a step-by-step modelling approach to simulate and control a complete PV power system. Introduces industrial standards, regulations, and electric codes for safety practice and research direction. Covers new classification of PV power systems in terms of the level of maximum power point tracking. Contains practical examples in designing grid-tied and standalone PV power systems. Matlab codes and Simulink models featured on a Wiley hosted book companion website.

Learning-Based Adaptive Control

Author : Mouhacine Benosman
Publisher : Butterworth-Heinemann
ISBN 13 : 0128031514
Total Pages : 282 pages
Book Rating : 4.1/5 (28 download)

DOWNLOAD NOW!

Book Synopsis Learning-Based Adaptive Control by : Mouhacine Benosman

Download or read book Learning-Based Adaptive Control written by Mouhacine Benosman and published by Butterworth-Heinemann. This book was released on 2016-08-02 with total page 282 pages. Available in PDF, EPUB and Kindle. Book excerpt: Adaptive control has been one of the main problems studied in control theory. The subject is well understood, yet it has a very active research frontier. This book focuses on a specific subclass of adaptive control, namely, learning-based adaptive control. As systems evolve during time or are exposed to unstructured environments, it is expected that some of their characteristics may change. This book offers a new perspective about how to deal with these variations. By merging together Model-Free and Model-Based learning algorithms, the author demonstrates, using a number of mechatronic examples, how the learning process can be shortened and optimal control performance can be reached and maintained. Includes a good number of Mechatronics Examples of the techniques. Compares and blends Model-free and Model-based learning algorithms. Covers fundamental concepts, state-of-the-art research, necessary tools for modeling, and control.

Microbiorobotics

Author : Minjun Kim
Publisher : William Andrew
ISBN 13 : 145577894X
Total Pages : 328 pages
Book Rating : 4.4/5 (557 download)

DOWNLOAD NOW!

Book Synopsis Microbiorobotics by : Minjun Kim

Download or read book Microbiorobotics written by Minjun Kim and published by William Andrew. This book was released on 2012-03-08 with total page 328 pages. Available in PDF, EPUB and Kindle. Book excerpt: Microbiorobotics is a new engineering discipline that inherently involves a multidisciplinary approach (mechanical engineering, cellular biology, mathematical modeling, control systems, synthetic biology, etc). Building robotics system in the micro scale is an engineering task that has resulted in many important applications, ranging from micromanufacturing techniques to cellular manipulation. However, it is also a very challenging engineering task. One of the reasons is because many engineering ideas and principles that are used in larger scales do not scale well to the micro-scale. For example, locomotion principles in a fluid do not function in the same way, and the use of rotational motors is impractical because of the difficulty of building of the required components. Microrobotics is an area that is acknowledged to have massive potential in applications from medicine to manufacturing. This book introduces an inter-disciplinary readership to the toolkit that micro-organisms offer to micro-engineering The design of robots, sensors and actuators faces a range of techology challenges at the micro-scale. This book shows how biological techniques and materials can be used to meet these challenges World-class multi-disciplanry editors and contributors leverage insights from engineering, mathematical modeling and the life sciences – creating a novel toolkit for microrobotics

Traffic Congestion Control by PDE Backstepping

Author : Huan Yu
Publisher : Springer Nature
ISBN 13 : 3031193466
Total Pages : 363 pages
Book Rating : 4.0/5 (311 download)

DOWNLOAD NOW!

Book Synopsis Traffic Congestion Control by PDE Backstepping by : Huan Yu

Download or read book Traffic Congestion Control by PDE Backstepping written by Huan Yu and published by Springer Nature. This book was released on 2022-12-16 with total page 363 pages. Available in PDF, EPUB and Kindle. Book excerpt: This monograph explores the design of controllers that suppress oscillations and instabilities in congested traffic flow using PDE backstepping methods. The first part of the text is concerned with basic backstepping control of freeway traffic using the Aw-Rascle-Zhang (ARZ) second-order PDE model. It begins by illustrating a basic control problem – suppressing traffic with stop-and-go oscillations downstream of ramp metering – before turning to the more challenging case for traffic upstream of ramp metering. The authors demonstrate how to design state observers for the purpose of stabilization using output-feedback control. Experimental traffic data are then used to calibrate the ARZ model and validate the boundary observer design. Because large uncertainties may arise in traffic models, adaptive control and reinforcement learning methods are also explored in detail. Part II then extends the conventional ARZ model utilized until this point in order to address more complex traffic conditions: multi-lane traffic, multi-class traffic, networks of freeway segments, and driver use of routing apps. The final chapters demonstrate the use of the Lighthill-Whitham-Richards (LWR) first-order PDE model to regulate congestion in traffic flows and to optimize flow through a bottleneck. In order to make the text self-contained, an introduction to the PDE backstepping method for systems of coupled first-order hyperbolic PDEs is included. Traffic Congestion Control by PDE Backstepping is ideal for control theorists working on control of systems modeled by PDEs and for traffic engineers and applied scientists working on unsteady traffic flows. It will also be a valuable resource for researchers interested in boundary control of coupled systems of first-order hyperbolic PDEs.

Spacecraft Dynamics and Control

Author : Enrico Canuto
Publisher : Butterworth-Heinemann
ISBN 13 : 0081017952
Total Pages : 790 pages
Book Rating : 4.0/5 (81 download)

DOWNLOAD NOW!

Book Synopsis Spacecraft Dynamics and Control by : Enrico Canuto

Download or read book Spacecraft Dynamics and Control written by Enrico Canuto and published by Butterworth-Heinemann. This book was released on 2018-03-08 with total page 790 pages. Available in PDF, EPUB and Kindle. Book excerpt: Spacecraft Dynamics and Control: The Embedded Model Control Approach provides a uniform and systematic way of approaching space engineering control problems from the standpoint of model-based control, using state-space equations as the key paradigm for simulation, design and implementation. The book introduces the Embedded Model Control methodology for the design and implementation of attitude and orbit control systems. The logic architecture is organized around the embedded model of the spacecraft and its surrounding environment. The model is compelled to include disturbance dynamics as a repository of the uncertainty that the control law must reject to meet attitude and orbit requirements within the uncertainty class. The source of the real-time uncertainty estimation/prediction is the model error signal, as it encodes the residual discrepancies between spacecraft measurements and model output. The embedded model and the uncertainty estimation feedback (noise estimator in the book) constitute the state predictor feeding the control law. Asymptotic pole placement (exploiting the asymptotes of closed-loop transfer functions) is the way to design and tune feedback loops around the embedded model (state predictor, control law, reference generator). The design versus the uncertainty class is driven by analytic stability and performance inequalities. The method is applied to several attitude and orbit control problems. The book begins with an extensive introduction to attitude geometry and algebra and ends with the core themes: state-space dynamics and Embedded Model Control. Fundamentals of orbit, attitude and environment dynamics are treated giving emphasis to state-space formulation, disturbance dynamics, state feedback and prediction, closed-loop stability. Sensors and actuators are treated giving emphasis to their dynamics and modelling of measurement errors. Numerical tables are included and their data employed for numerical simulations. Orbit and attitude control problems of the European GOCE mission are the inspiration of numerical exercises and simulations. The suite of the attitude control modes of a GOCE-like mission is designed and simulated around the so-called mission state predictor. Solved and unsolved exercises are included within the text - and not separated at the end of chapters - for better understanding, training and application. Simulated results and their graphical plots are developed through MATLAB/Simulink code.

Real-Time Optimization by Extremum-Seeking Control

Author : Kartik B. Ariyur
Publisher : John Wiley & Sons
ISBN 13 : 9780471468592
Total Pages : 254 pages
Book Rating : 4.4/5 (685 download)

DOWNLOAD NOW!

Book Synopsis Real-Time Optimization by Extremum-Seeking Control by : Kartik B. Ariyur

Download or read book Real-Time Optimization by Extremum-Seeking Control written by Kartik B. Ariyur and published by John Wiley & Sons. This book was released on 2003-10-03 with total page 254 pages. Available in PDF, EPUB and Kindle. Book excerpt: An up-close look at the theory behind and application of extremum seeking Originally developed as a method of adaptive control for hard-to-model systems, extremum seeking solves some of the same problems as today's neural network techniques, but in a more rigorous and practical way. Following the resurgence in popularity of extremum-seeking control in aerospace and automotive engineering, Real-Time Optimization by Extremum-Seeking Control presents the theoretical foundations and selected applications of this method of real-time optimization. Written by authorities in the field and pioneers in adaptive nonlinear control systems, this book presents both significant theoretic value and important practical potential. Filled with in-depth insight and expert advice, Real-Time Optimization by Extremum-Seeking Control: * Develops optimization theory from the points of dynamic feedback and adaptation * Builds a solid bridge between the classical optimization theory and modern feedback and adaptation techniques * Provides a collection of useful tools for problems in this complex area * Presents numerous applications of this powerful methodology * Demonstrates the immense potential of this methodology for future theory development and applications Real-Time Optimization by Extremum-Seeking Control is an important resource for both students and professionals in all areas of engineering-electrical, mechanical, aerospace, chemical, biomedical-and is also a valuable reference for practicing control engineers.

Trillions for Military Technology

Author : J. Alic
Publisher : Springer
ISBN 13 : 0230606873
Total Pages : 265 pages
Book Rating : 4.2/5 (36 download)

DOWNLOAD NOW!

Book Synopsis Trillions for Military Technology by : J. Alic

Download or read book Trillions for Military Technology written by J. Alic and published by Springer. This book was released on 2007-09-03 with total page 265 pages. Available in PDF, EPUB and Kindle. Book excerpt: Trillions for Military Technology explains why the weapons purchased by the U.S. Department of Defense cost so much, why it takes decades to get them into production even as innovation in the civilian economy becomes ever more frenetic, and why some of those weapons don't work very well despite expenditures of many billions of dollars. It also explains what do about these problems. The author argues that the internal politics of the armed services make weapons acquisition almost unmanageable. Solutions require empowering civilian officials and reforms that will bring choice of weapons "into the sunshine" of public debate.

Non-linear Control for Underactuated Mechanical Systems

Author : Isabelle Fantoni
Publisher : Springer Science & Business Media
ISBN 13 : 1447101774
Total Pages : 295 pages
Book Rating : 4.4/5 (471 download)

DOWNLOAD NOW!

Book Synopsis Non-linear Control for Underactuated Mechanical Systems by : Isabelle Fantoni

Download or read book Non-linear Control for Underactuated Mechanical Systems written by Isabelle Fantoni and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 295 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book deals with the application of modern control theory to some important underactuated mechanical systems, from the inverted pendulum to the helicopter model. It will help readers gain experience in the modelling of mechanical systems and familiarize with new control methods for non-linear systems.

Neural Networks in Atmospheric Remote Sensing

Author : William J. Blackwell
Publisher : Artech House
ISBN 13 : 1596933739
Total Pages : 232 pages
Book Rating : 4.5/5 (969 download)

DOWNLOAD NOW!

Book Synopsis Neural Networks in Atmospheric Remote Sensing by : William J. Blackwell

Download or read book Neural Networks in Atmospheric Remote Sensing written by William J. Blackwell and published by Artech House. This book was released on 2009 with total page 232 pages. Available in PDF, EPUB and Kindle. Book excerpt: This authoritative reference offers you a comprehensive understanding of the underpinnings and practical applications of artificial neural networks and their use in the retrieval of geophysical parameters. You find expert guidance on the development and evaluation of neural network algorithms that process data from a new generation of hyperspectral sensors. The book provides clear explanations of the mathematical and physical foundations of remote sensing systems, including radiative transfer and propagation theory, sensor technologies, and inversion and estimation approaches. You discover how to use neural networks to approximate remote sensing inverse functions with emphasis on model selection, preprocessing, initialization, training, and performance evaluation.

Guide to Computer Network Security

Author : Joseph Migga Kizza
Publisher : Springer Nature
ISBN 13 : 3031475496
Total Pages : 654 pages
Book Rating : 4.0/5 (314 download)

DOWNLOAD NOW!

Book Synopsis Guide to Computer Network Security by : Joseph Migga Kizza

Download or read book Guide to Computer Network Security written by Joseph Migga Kizza and published by Springer Nature. This book was released on 2024-02-20 with total page 654 pages. Available in PDF, EPUB and Kindle. Book excerpt: This timely textbook presents a comprehensive guide to the core topics in computing and information security and assurance realms, going beyond the security of networks to the ubiquitous mobile communications and online social networks that have become part of daily life. In the context of growing human dependence on a digital ecosystem, this book stresses the importance of security awareness—whether in homes, businesses, or public spaces. It also embraces the new and more agile and artificial-intelligence-boosted computing systems models, online social networks, and virtual platforms that are interweaving and fueling growth of an ecosystem of intelligent digital and associated social networks. This fully updated edition features new material on new and developing artificial intelligence models across all computing security systems spheres, blockchain technology, and the metaverse, leading toward security systems virtualizations. Topics and features: Explores the range of risks and vulnerabilities in all connected digital systems Presents exercises of varying levels of difficulty at the end of each chapter, and concludes with a diverse selection of practical projects Describes the fundamentals of traditional computer network security, and common threats to security Discusses the role and challenges of artificial intelligence in advancing the security of computing systems’ algorithms, protocols, and best practices Raises thought-provoking questions regarding legislative, legal, social, technical, and ethical challenges, such as the tension between privacy and security Offers supplementary material for students and instructors at an associated website, including slides, additional projects, and syllabus suggestions This important textbook/reference is an invaluable resource for students of computer science, engineering, and information management, as well as for practitioners working in data- and information-intensive industries. Professor Joseph Migga Kizza is a professor, former Head of the Department of Computer Science and Engineering, and a former Director of the UTC InfoSec Center, at the University of Tennessee at Chattanooga, USA. He also authored the successful Springer textbooks Ethical and Social Issues in the Information Age and Ethical and Secure Computing: A Concise Module.