Implement neural search systems on the cloud by leveraging Jina design patterns Key FeaturesIdentify the different search techniques and discover applications of neural searchGain a solid understanding of vector representation and apply your knowledge in neural searchUnlock deeper levels of knowledge of Jina for neural searchBook Description Search is a big and ever-growing part of the tech ecosystem. Traditional search, however, has limitations that are hard to overcome because of the way it is designed. Neural search is a novel approach that uses the power of machine learning to retrieve information using vector embeddings as first-class citizens, opening up new possibilities of improving the results obtained through traditional search. Although neural search is a powerful tool, it is new and finetuning it can be tedious as it requires you to understand the several components on which it relies. Jina fills this gap by providing an infrastructure that reduces the time and complexity involved in creating deep learning–powered search engines. This book will enable you to learn the fundamentals of neural networks for neural search, its strengths and weaknesses, as well as how to use Jina to build a search engine. With the help of step-by-step explanations, practical examples, and self-assessment questions, you'll become well-versed with the basics of neural search and core Jina concepts, and learn to apply this knowledge to build your own search engine. By the end of this deep learning book, you'll be able to make the most of Jina's neural search design patterns to build an end-to-end search solution for any modality. What you will learnUnderstand how neural search and legacy search workGrasp the machine learning and math fundamentals needed for neural searchGet to grips with the foundation of vector representationExplore the basic components of JinaAnalyze search systems with different modalitiesUncover the capabilities of Jina with the help of practical examplesWho this book is for If you are a machine learning, deep learning, or artificial intelligence engineer interested in building a search system of any kind (text, QA, image, audio, PDF, 3D models, or others) using modern software architecture, this book is for you. This book is perfect for Python engineers who are interested in building a search system of any kind using state-of-the-art deep learning techniques.
This self-contained book, written by active researchers, presents up-to-date information on smart maintenance strategies for human–robot interaction (HRI) and the associated applications of novel search algorithms in a single volume, eliminating the need to consult scattered resources. Unlike other books, it addresses maintaining a smart HRI from three dimensions, namely, hardware, cyberware, and hybrid-asset management, covering problems encountered in each through a wide variety of representative examples and elaborated illustrations. Further, the diverse mathematical models and intelligent systems constructions make the book highly practical. It enables readers interested in maintenance, robotics, and intelligent systems but perplexed by myriads of interrelated issues to grasp basic methodologies. At the same time, the referenced literature can be used as a roadmap for conducting deeper researches.
This book springs from a conference held in Stockholm in May June 1988 on Culture, Language and Artificial Intelligence. It assembled more than 300 researchers and practitioners in the fields of technology, philosophy, history of ideas, literature, lin guistics, social science, etc. It was an initiative from the Swedish Center for Working Life, based on the project AI-Based Systems and the Future of Language, Knowledge and Responsibility in Professions within the COST 13 programme of the European Commission. Participants in the conference, or in some cases researchers related to its aims, were chosen to contribute to this book. It was preceded by Knowledge, Skill and Artificial Intelligence (ed. B. G6ranzon and 1. Josefson, Springer-Verlag, London, 1988) and will be followed by Dialogue and Technology (ed. M. Florin and B. Goranzon, Springer-Verlag, London, 1990). The contributors' thinking in this field varies greatly; so do their styles of writing. For example: contributors have varied in their choice of 'he' or 'he/she' for the third person. No distinction is intended but chapters have been left with the original usage to avoid extensive changes. Similarly, individual contributor's preferences as to notes or references lists have been followed. We want to thank our researcher Satinder P. Gill for excellent work with summaries and indexes, and Sandi Irvine of Springer Verlag for eminent editorial work.
A critical challenge in deep learning is the vulnerability of deep learning networks to security attacks from intelligent cyber adversaries. Even innocuous perturbations to the training data can be used to manipulate the behaviour of deep networks in unintended ways. In this book, we review the latest developments in adversarial attack technologies in computer vision; natural language processing; and cybersecurity with regard to multidimensional, textual and image data, sequence data, and temporal data. In turn, we assess the robustness properties of deep learning networks to produce a taxonomy of adversarial examples that characterises the security of learning systems using game theoretical adversarial deep learning algorithms. The state-of-the-art in adversarial perturbation-based privacy protection mechanisms is also reviewed. We propose new adversary types for game theoretical objectives in non-stationary computational learning environments. Proper quantification of the hypothesis set in the decision problems of our research leads to various functional problems, oracular problems, sampling tasks, and optimization problems. We also address the defence mechanisms currently available for deep learning models deployed in real-world environments. The learning theories used in these defence mechanisms concern data representations, feature manipulations, misclassifications costs, sensitivity landscapes, distributional robustness, and complexity classes of the adversarial deep learning algorithms and their applications. In closing, we propose future research directions in adversarial deep learning applications for resilient learning system design and review formalized learning assumptions concerning the attack surfaces and robustness characteristics of artificial intelligence applications so as to deconstruct the contemporary adversarial deep learning designs. Given its scope, the book will be of interest to Adversarial Machine Learning practitioners and Adversarial Artificial Intelligence researchers whose work involves the design and application of Adversarial Deep Learning.
The intention of this book is not to add another technical work to the series of publications already available on matters connected with the relations between natural and artificial intelligence, nor to repeat the positions already well expressed in, for example, the debate between John Searle, Daniel Dennet and Hubert Dreyfus. It is an attempt to encourage philosophical reflection on dimensions of the subject that have hitherto been somewhat neglected. This book, which explores a number of case studies, is the fifth in the series, the previous four books being: (i) Knowledge, Skill and Artificial Intelligence (Bo Goranzon and Ingela Josefson (Eds. ), Springer-Verlag, London, 1988) (ii) Artificial Intelligence, Culture and Language: On Education and Work (Bo Goranzon and Magnus Florin (Eds. ), Springer Verlag, London, 1990) (iii) Dialogue and Technology: Art and Knowledge (Bo Goranzon and Magnus Florin (Eds. ), Springer-Verlag, London, 1991) (iv) Skill and Education: Reflection and Experience (Bo Goranzon and Magnus Florin (Eds. ), Springer-Verlag, London, 1992) An important connection between these four books is the conference on Culture, Language and Artificial Intelligence held in Stockholm in May-June, 1988. The conference was attended by more than 300 researchers and practitioners, from over 15 countries, in the fields of technology, philosophy, the history of ideas, literature and linguistics. Contributions to the books were solicited from among those who attended the conference and from researchers involved in work related to its aim.
This book addresses the fundamental theory and key technologies of narrowband and broadband mobile communication systems specifically for railways. It describes novel relaying schemes that meet the different design criteria for railways and discusses the applications of signal classification techniques as well as offline resource scheduling as a way of advancing rail practice. Further, it introduces Novel Long Term Evolution for Railway (LTE-R) network architecture, the Quality of Service (QoS) requirement of LTE-R and its performance evaluation and discusses in detail security technologies for rail-dedicated mobile communication systems. The advanced research findings presented in the book are all based on high-speed railway measurement data, which offer insights into the propagation mechanisms and corresponding modeling theory and approaches in unique railway scenarios.It is a valuable resource for researchers, engineers and graduate students in the fields of rail traffic systems, telecommunication and information systems.
This book delves into the fundamental characteristics, measurement techniques, modeling methods, and theories of wireless channels in mobile scenarios. Unlike wired communication systems, which are more predictable, wireless communication systems are significantly affected by radio propagation and wireless channels. By investigating the mechanisms of wireless channels and measurement techniques, this book aims to better understand wireless communication systems in order to optimize the quality and design of wireless communications. The title covers key topics in the field, including basic theory of radio wave propagation and non-stationary channels, theory and method of time-varying channel measurement, measurement case analysis, wireless channel modeling theory and parameter extraction method, rail traffic channel measurement and modeling, and dynamic modeling and simulation method of time-varying channels. This book is suitable for researchers and students interested in radio wave propagation, wireless channels and mobile communication systems. It can also serve as a useful guide for technical professionals who have a background in mobile communication technology.
Authoritative resource describing the artificial intelligence and advanced technologies in smart power systems with simulation examples and case studies Artificial Intelligence-based Smart Power Systems presents advanced technologies used in various aspects of smart power systems, especially grid-connected and industrial evolution, covering many new topics such as distribution Phasor management, blockchain technologies for smart power systems, the application of deep learning and reinforced learning, and artificial intelligence techniques. The text also explores the potential consequences of artificial intelligence and advanced technologies in smart power systems in the forthcoming years. To enhance and reinforce learning, the highly qualified editors include many learning resources throughout the text, including MATLAB and HIL codes, end-of-chapter problems, end-of-book solutions, practical examples, and case studies. Artificial Intelligence-based Smart Power Systems includes specific information on topics such as: Modeling and analysis of smart power systems, covering steady state analysis, dynamic analysis, voltage stability, and more Recent advancement in power electronics for smart power systems, covering power electronic converters for renewable energy sources, electric vehicles, and HDVC/FACTs Distribution Phasor Measurement Units (PMU) in smart power systems, covering the need for PMU in distribution and automation of system reconfigurations Power and energy management systems for microgrids Engineering colleges and universities, along with industry research centers, can use the in-depth subject coverage and the extensive supplementary learning resources found in Artificial Intelligence-based Smart Power Systems to gain a holistic understanding of the subject and be able to harness that knowledge within a myriad of practical applications.
The First International Symposium on Combinatorics, Algorithms, Probabilistic and Experimental Methodologies was held in Hangzhou, China, in April 2007. The symposium provided an interdisciplinary forum for researchers to share their discoveries and approaches; search for ideas, methodologies, and tool boxes; find better, faster, and more accurate solutions; and develop a research agenda of common interest. This volume constitutes the refereed post-proceedings of the symposium. Inside you'll find 46 full papers. They represent some of the most important thinking and advancements in the field. The papers address large data processing problems using different methodologies from major disciplines such as computer science, combinatorics, and statistics.
Less than a decade has elapsed since the publication in 2000 of the first anthology devoted to lipocalins (Biochim Biophys Acta 1482, 2000), and only a few years since the first Lipocalin International Symposium in Copenhagen in 2003 (Benzon Symposium no. 50The Lipocalin Protein Superfamily, Copenhagen, 2003) and the introduction of a public lip
Authoritative resource describing the artificial intelligence and advanced technologies in smart power systems with simulation examples and case studies Artificial Intelligence-based Smart Power Systems presents advanced technologies used in various aspects of smart power systems, especially grid-connected and industrial evolution, covering many new topics such as distribution Phasor management, blockchain technologies for smart power systems, the application of deep learning and reinforced learning, and artificial intelligence techniques. The text also explores the potential consequences of artificial intelligence and advanced technologies in smart power systems in the forthcoming years. To enhance and reinforce learning, the highly qualified editors include many learning resources throughout the text, including MATLAB and HIL codes, end-of-chapter problems, end-of-book solutions, practical examples, and case studies. Artificial Intelligence-based Smart Power Systems includes specific information on topics such as: Modeling and analysis of smart power systems, covering steady state analysis, dynamic analysis, voltage stability, and more Recent advancement in power electronics for smart power systems, covering power electronic converters for renewable energy sources, electric vehicles, and HDVC/FACTs Distribution Phasor Measurement Units (PMU) in smart power systems, covering the need for PMU in distribution and automation of system reconfigurations Power and energy management systems for microgrids Engineering colleges and universities, along with industry research centers, can use the in-depth subject coverage and the extensive supplementary learning resources found in Artificial Intelligence-based Smart Power Systems to gain a holistic understanding of the subject and be able to harness that knowledge within a myriad of practical applications.
Navigate the Trail of Self-Publishing with Ease: A Comprehensive Guide to Book MarketingSelf-publishing your book is just the start of your journey. The real challenge lies in promoting your masterpiece, making it visible to the right audience, and generating sales. "The 101 of Book Marketing: A Self-Published Author's Guide" has all the answers you've been seeking.This comprehensive guide deciphers the cluttered landscape of self-publishing, offering clear insights into its definition, benefits, and challenges. The book makes a compelling case for why book marketing is crucial, highlighting realistic expectations for organic growth that won't cough up your fortune.Did you know that you, as an author, are a brand yourself? This book helps you develop and consistently maintain your author brand. It also provides tactics to build a robust online presence, showcasing the importance of having a personal website, social media engagement, and leveraging networking platforms like Facebook, Twitter, LinkedIn, Instagram, and more.While emphasizing the digital world, the book doesn't disregard the magic of offline marketing strategies. It guides you on organizing book readings and signings, networking events, and speaking engagements. You also get a roadmap for accumulating beneficial book reviews and methods of implementing promotional techniques for boosting visibility.Advertising your book doesn't have to be a daunting task. This guide demystifies where to advertise, weighing in on paid advertising versus free advertising options. Discover how Artificial Intelligence is transforming book marketing and how Amazon's algorithm can be harnessed for self-publishing success.Gauge your success and maintain the marketing momentum with the help of valuable tips on setting and measuring goals and formulating long-term marketing plans. Learn from the case studies of successful self-published authors, concluding with an appendix of useful resources for your reference. Get your copy today and embark on a successful self-publishing journey!
Quotient Space Based Problem Solving provides an in-depth treatment of hierarchical problem solving, computational complexity, and the principles and applications of multi-granular computing, including inference, information fusing, planning, and heuristic search. Explains the theory of hierarchical problem solving, its computational complexity, and discusses the principle and applications of multi-granular computing Describes a human-like, theoretical framework using quotient space theory, that will be of interest to researchers in artificial intelligence Provides many applications and examples in the engineering and computer science area Includes complete coverage of planning, heuristic search and coverage of strictly mathematical models
This book highlights key technologies of signal processing in pulsar-based navigation. It discusses the modeling, simulation, acquisition, and correction of relativistic effects of signals from X-ray pulsars. It demonstrates the methods of contour reconstruction and denoising, and introduces the concept and methods of the average contour. The performance of the phase measurement methods using signal contour is analyzed. The role of wavelets and bispectral methods in the denoising of pulsar signals is discussed. The measurements of pulsar signals’ arriving time are looked into from the perspective of time series. The book is intended for researchers and engineers interested in pulsar-based navigation. It is also a good reference source for senior undergraduates and postgraduate students majoring in navigation and signal processing.
An all-in-one guide to high-voltage, multi-terminal converters, this book brings together the state of the art and cutting-edge techniques in the various stages of designing and constructing a high-voltage converter. The book includes 9 chapters, and can be classified into three aspects. First, all existing high-voltage converters are introduced, including the conventional two-level converter, and the multi-level converters, such as the modular multi-level converter (MMC). Second, different kinds of multi-terminal high-voltage converters are presented in detail, including the topology, operation principle, control scheme and simulation verification. Third, some common issues of the proposed multi-terminal high-voltage converters are discussed, and different industrial applications of the proposed multi-terminal high-voltage converters are provided. Systematically proposes, for the first time, the design methodology for high-voltage converters in use of MTDC grids; also applicable to constructing novel power electronics converters, and driving the development of HVDC, which is one of the most important technology areas Presents the latest research on multi-terminal high-voltage converters and its application in MTDC transmission systems and other industrially important applications Offers an overview of existing technology and future trends of the high-voltage converter, with extensive discussion and analysis of different types of high-voltage converters and relevant control techniques (including DC-AC, AC-DC, DC-DC, and AC-AC converters) Provides readers with sufficient context to delve into the more specialized topics covered in the book Featuring a series of novel multi-terminal high-voltage converters proposed and patented by the authors, Multi-terminal High Voltage Converters is written for researchers, engineers, and advanced students specializing in power electronics, power system engineering and electrical engineering.
“Un jour, j’ai cessé de vivre. Mon corps chutait. Je disparaissais. Il fallait écrire l’inceste. Non pas écrire sur l’inceste. Mais écrire par l’inceste. Par circonvolutions. Par va-et-vient. Écrire par le chaos. Il était temps de “donner forme à la mémoire”. Je suis allée en Atlantique. J’ai rendu visite à mon oncle Yórgos. J’ai tout enregistré. Il disait, “dis-moi où et quand”. J’étais dans son pavillon, comme vingt-sept ans auparavant. Mon oncle m’exhortait de dire. Je me taisais. On disait qu’il était violent. On disait qu’il était armé. Dans cet espace clinique, les morts reviennent. Des guerres surgissent. La violence des générations anciennes nous traverse. L’instant de l’inceste demeure palpable. Alors, j’ai écrit Junon, mon double. J’ai écrit Yórgos. La frontière entre cette enclave atlantique et sa Grèce natale, que je n’ai jamais vue. J’ai écrit la famille. Par l’inceste, j’ai puisé dans notre violence un alphabet.”J. Bo Un extraordinaire roman, porté par une écriture qui fouaille, questionne, parcourt – un texte pour la vie et la vérité.
The Semantic Web is an idea of World Wide Web inventor Tim Berners-Lee that the Web as a whole can be made more intelligent and perhaps even intuitive about how to serve a users needs. Although search engines index much of the Web's content, they have little ability to select the pages that a user really wants or needs. Berners-Lee foresees a number of ways in which developers and authors, singly or in collaborations, can use self-descriptions and other techniques so that the context-understanding programs can selectively find what users want. The Semantic Web: Crafting Infrastructure for Agency presents a more holistic view of the current state of development and deployment. This a comprehensive reference to the rapidly developing technologies, which are enabling more intelligent and automated transactions over the internet, and a visionary overview of the implications of deploying such a layer of infrastructure. A through examination of the Semantic Web, including the following topics: web information management, languages and protocols, application and tools, and collaboration and agency. A unique volume of practical information, in-depth analysis, conceptual overviews and contextual material from professionals in the field. Features appendices of technical terms and glossary, Semantic Web resources, intellectual property issues and lists of elements. This is essential reading for engineers, web developers and industry professionals wishing to enhance their knowledge of recent developments. Management staff, lecturers. postgraduate and undergraduate students will also find this book appealing.
Geopolymer Concrete Structures with Steel and FRP Reinforcements: Analysis and Design focuses on structural behavior, including the aspects of compression, bending strength and combined action of GPC members, with the book's content based on published studies over the last two decades. Geopolymer concrete (GPC) structural members reinforced with FRP reinforcement have some advantages in resisting forces compared to conventional concrete or steel tubular members. Among the most important are the high strength and bending stiffness, fire and impact performance and favorable, construction ability and durability. To this end, there are no significant applications of these new structural elements worldwide, partly due to the lack of the understanding of their behavior and insufficient design provisions in different design manuals. This book, therefore, seeks to highlight their characteristics and future potential. Provides comprehensive, up-to-date advances on Geopolymer Concrete (GPC) reinforced with steel and FRP bars and stirrups construction with a summary of over 100 papers published in the last decade Compares the behavior and failure modes between Geopolymer Concrete (GPC) structures and Ordinary Portland Concrete (OPC) structures Explains important concepts such as bond, confinement, fracture of stirrups and buckling of FRP bars Includes an in-depth analysis of ultimate strength of GPC and OPC, considering governing failure modes Presents design examples following international standards, including North America ACI 440.1R-15, Canadian CAN/CSA S806, and Australian such as AS 3600
This book provides a general formalism for the calculation of the spectral correlation function for the fluctuating electromagnetic field. The procedure is applied to the radiative heat transfer and the van der Waals friction using both the semi-classical theory of the fluctuating electromagnetic field and quantum field theory. Applications of the radiative heat transfer and non-contact friction to scanning probe spectroscopy are presented. The theory gives a tentative explanation for the experimental non-contact friction data. The book explains that radiative heat transfer and the van der Waals friction are largely enhanced at short separations between the bodies due to the evanescent electromagnetic waves. Particular strong enhancement occurs if the surfaces of the bodies can support localized surface modes like surface plasmons, surface polaritons or adsorbate vibrational modes. An electromagnetic field outside a moving body can also be created by static charges which are always present on the surface of the body due to inhomogeneities, or due to a bias voltage. This electromagnetic field produces electrostatic friction which can be significantly enhanced if on the surface of the body there is a 2D electron or hole system or an incommensurate adsorbed layer of ions exhibiting acoustic vibrations.
This book provides the fundamental theory of distributed optimization, game and learning. It includes those working directly in optimization,-and also many other issues like time-varying topology, communication delay, equality or inequality constraints,-and random projections. This book is meant for the researcher and engineer who uses distributed optimization, game and learning theory in fields like dynamic economic dispatch, demand response management and PHEV routing of smart grids.
This is the first book devoted to mobility management, covering the important principles, technologies and applications of mobility management based on years of academic research and industry experiences. The content is organized according to the reference models proposed by the authors, and emphasizes on technical principles rather than protocol details; a systematic and comprehensive introduction is presented yet without losing focuses; the existing technologies in cellular system, mobile Internet and IMS/SIP are also extensively compared. This book can be an indispensable reference for mobile communication engineers, computer network engineers, researchers and anyone else involved in academic, industrial and standardization activities on mobility management.
The book focuses on smart computing for crowdfunding usage, looking at the crowdfunding landscape, e.g., reward-, donation-, equity-, P2P-based and the crowdfunding ecosystem, e.g., regulator, asker, backer, investor, and operator. The increased complexity of fund raising scenario, driven by the broad economic environment as well as the need for using alternative funding sources, has sparked research in smart computing techniques. Covering a wide range of detailed topics, the authors of this book offer an outstanding overview of the current state of the art; providing deep insights into smart computing methods, tools, and their applications in crowdfunding; exploring the importance of smart analysis, prediction, and decision-making within the fintech industry. This book is intended to be an authoritative and valuable resource for professional practitioners and researchers alike, as well as finance engineering, and computer science students who are interested in crowdfunding and other emerging fintech topics.
Quotient Space Based Problem Solving provides an in-depth treatment of hierarchical problem solving, computational complexity, and the principles and applications of multi-granular computing, including inference, information fusing, planning, and heuristic search. Explains the theory of hierarchical problem solving, its computational complexity, and discusses the principle and applications of multi-granular computing Describes a human-like, theoretical framework using quotient space theory, that will be of interest to researchers in artificial intelligence Provides many applications and examples in the engineering and computer science area Includes complete coverage of planning, heuristic search and coverage of strictly mathematical models
This book consists of selected papers written by the founder of fuzzy set theory, Lotfi A Zadeh. Since Zadeh is not only the founder of this field, but has also been the principal contributor to its development over the last 30 years, the papers contain virtually all the major ideas in fuzzy set theory, fuzzy logic, and fuzzy systems in their historical context. Many of the ideas presented in the papers are still open to further development. The book is thus an important resource for anyone interested in the areas of fuzzy set theory, fuzzy logic, and fuzzy systems, as well as their applications. Moreover, the book is also intended to play a useful role in higher education, as a rich source of supplementary reading in relevant courses and seminars.The book contains a bibliography of all papers published by Zadeh in the period 1949-1995. It also contains an introduction that traces the development of Zadeh's ideas pertaining to fuzzy sets, fuzzy logic, and fuzzy systems via his papers. The ideas range from his 1965 seminal idea of the concept of a fuzzy set to ideas reflecting his current interest in computing with words ? a computing in which linguistic expressions are used in place of numbers.Places in the papers, where each idea is presented can easily be found by the reader via the Subject Index.
Microbes catalyze countless chemical reactions in nature which control the chemistry of the environment. Aquatic Geomicrobiology looks at these reactions and their effect on the aquatic environments from the perspective of the microbes involved. The volume begins with three introductory chapters outlining the basic principles of microbial systematics, microbial ecology, and chemical thermodynamics. These provide a framework for exploring the microbial control of elemental cycling in the remaining chapters. Readers will learn how microbes control the cycling of elements, the structure of the microbial ecosystems involved, and what environmental factors influence the activities of microbial populations. Also available in hardback Written by international experts in the microbial ecology and biogeochemistry of aquatic systems Includes introductory chapters on microbial systematics, principles of microbial ecology, and chemical thermodynamics Contains over 1500 references
This book focuses on the control and state estimation problems for dynamical network systems with complex samplings subject to various network-induced phenomena. It includes a series of control and state estimation problems tackled under the passive sampling fashion. Further, it explains the effects from the active sampling fashion, i.e., event-based sampling is examined on the control/estimation performance, and novel design technologies are proposed for controllers/estimators. Simulation results are provided for better understanding of the proposed control/filtering methods. By drawing on a variety of theories and methodologies such as Lyapunov function, linear matrix inequalities, and Kalman theory, sufficient conditions are derived for guaranteeing the existence of the desired controllers and estimators, which are parameterized according to certain matrix inequalities or recursive matrix equations. Covers recent advances of control and state estimation for dynamical network systems with complex samplings from the engineering perspective Systematically introduces the complex sampling concept, methods, and application for the control and state estimation Presents unified framework for control and state estimation problems of dynamical network systems with complex samplings Exploits a set of the latest techniques such as linear matrix inequality approach, Vandermonde matrix approach, and trace derivation approach Explains event-triggered multi-rate fusion estimator, resilient distributed sampled-data estimator with predetermined specifications This book is aimed at researchers, professionals, and graduate students in control engineering and signal processing.
This book focuses on the stability analysis of Markovian jump systems (MJSs) with various settings and discusses its applications in several different areas. It also presents general definitions of the necessary concepts and an overview of the recent developments in MJSs. Further, it addresses the general robust problem of Markovian jump linear systems (MJLSs), the asynchronous stability of a class of nonlinear systems, the robust adaptive control scheme for a class of nonlinear uncertain MJSs, the practical stability of MJSs and its applications as a modelling tool for networked control systems, Markovian-based control for wheeled mobile manipulators and the jump-linear-quadratic (JLQ) problem of a class of continuous-time MJLSs. It is a valuable resource for researchers and graduate students in the field of control theory and engineering.
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