Bücher der Reihe Studies in Systems, Decision and Control

This book presents state-of-the-art research advances in the field of biologically inspired cooperative control theories and their applications.

This book explores the theoretical foundations of co-utility as well as its application to a number of areas, including distributed reputation management, anonymous keyword search, collaborative data anonymization, digital oblivion, peer-to-peer (P2P) content distribution, ridesharing for sustainable mobility, environmental economy, business model design and the collaborative economy. It evolved from presentations at the 1st Co-Utility Workshop, "held in Tarragona, Spain, on March 10¿11, 2016." How can we guarantee that a global society without a common legal framework operates smoothly? If generosity, honesty and helpfulness do not arise spontaneously, one approach would be to design transactions so that helping others remains the best rational option. This is precisely the goal of co-utility, which can be defined in game-theoretic terms as any interaction between peers in which the best option for a player to maximize her or his utility is to make sure the other players also enjoy a fair share of utility (for example, functionality, security or privacy). Therefore, a protocol or mechanism designed using the co-utility principle ensures that helping others is the best rational option, even if players are selfish.

This book comprises four chapters that address some of the latest research in clouds robotics and sensor clouds. The first chapter introduces a novel resource allocation framework for cloud robotics and proposes a Stackelberg game model and the corresponding task oriented pricing mechanism for resource allocation.

This book investigates e-learning practices at American and Australian institutes of higher learning, their status quo, best-practice examples, and remaining issues.

The book introduces novel algorithms for designing fault-tolerant control (FTC) systems using the behavioral system theoretic approach, and presents a demonstration of successful novel FTC mechanisms on several benchmark examples.

This book addresses changes in socio-economic systems. The changes in socio-economic systems are also studied with the help of the system approach, which calls for assessing complex economic subjects, characterized by the sustainable connections between their elements, as socio-economic systems.

The book includes 20 chapters contributed by respected experts, which focus on various applications such as biological systems, memristor-based systems, fractional-order systems, finance systems, business cycles, oscillators, coupled systems, hyperchaotic systems, flexible robot manipulators, electronic circuits, and control models.

Providing a fascinating survey of the state of the art in the field of unmanned aircraft system electronics design and development, the book also presents recent advances in and cutting-edge methodologies for the development of acquisition systems and inexpensive sensor design for navigation data.

This book discusses digitalization trends and their concrete applications in business and societal contexts. As such, it addresses the needs of both professors and researchers, who are constantly seeking inspiration, and of managers seeking to tap the potential of the latest trends to take their business to the next level.

The contributors consider the influential networks including power and energy networks, transportation networks, and social networks. The second part offers solutions to performance and security challenges of developing interdependent networks in terms of networked control systems, scalable computation platforms, and dynamic social networks.

It subsequently describes artificial neural networks as a subclass of artificial adaptive systems, and reports on the backpropagation algorithm, while also identifying an important connection between supervised and unsupervised artificial neural networks.

Control of Discrete-Time Descriptor Systems takes an anisotropy-based approach to the explanation of random input disturbance with an information-theoretic representation.

This unique book presents innovative and state-of-the-art computational models for determining the optimal truck-loader selection and allocation strategy for use in large and complex mining operations.

Pursuing an interdisciplinary approach, this book offers detailed insights into the empirical relationships between overall social key figures of states and cultures in the fields of information and communication technology (ICT) (digital divide/inequality), the economy, education and religion.

Further, it defines the notion of an information quantum about the preference relation of a decision-maker and studies the reduction of the Pareto set using a finite collection of information quanta, demonstrating that the original approach yields a good approximation for the set of nondominated alternatives in a multicriteria problem.

This cutting-edge book presents the theory and practice of the Graph Model for Conflict Resolution (GMCR), which is used for strategically investigating disputes in any field to enable informed decision making.

This book focuses on approximations under the presence of ordinary and fractional smoothness, presenting both the univariate and multivariate cases.

The book describes an approach to the multi-agent systems (MAS) design for applications of robotic soccer in the MiroSot category.

This book discusses the problems of delivering goods from East and South-East Asia to Europe, presenting the regional transport problems experienced in Italy, Slovakia, Russia, Georgia, Kazakhstan, Uzbekistan and Poland.

This book presents recent advances in the field of intelligent systems. Composed of fourteen selected chapters, it covers a wide range of research that varies from applications in industrial data science to those in applied science. Today the word INNOVATION is more and more connected with the words INTELLIGENT and SECURITY, as such the book discusses the theory and applications of hot topics such as big data, education applications of robots with different levels of autonomy, knowledge-based modeling and control of complex dynamical systems, sign-based synthesis of behavior, security issues with intelligent systems, innovative intelligent control design, neuromorphic computation, data-driven classification, intelligent modeling and measurement innovations, multisensor data association, personal education assistants, a modern production architecture, study of peer review and scientometrics, intelligent research on bug report data, and clustering non-Gaussian data. The broad and varied research discussed represents the mainstream of contemporary intelligent innovations that are slowly but surely changing the world.

This book explores the disruptive changes in the media ecosystem caused by convergence and digitization, and analyses innovation processes in content production, distribution and commercialisation. It has been edited by Professors Miguel Túñez-López (Universidade de Santiago de Compostela, Spain), Valentín-Alejandro Martínez-Fernández (Universidade da Coruña, Spain), Xosé López-García (Universidade de Santiago de Compostela, Spain), Xosé Rúas-Araújo (Universidade de Vigo, Spain) and Francisco Campos-Freire (Universidade de Santiago de Compostela, Spain). The book includes contributions from European and American experts, who offer their views on the audiovisual sector, journalism and cyberjournalism, corporate and institutional communication, and education. It particularly highlights the role of new technologies, the Internet and social media, including the ethics and legal dimensions. With 30 contributions, grouped into diverse chapters, on information preferences and uses in journalism, as well as public audiovisual policies in the European Union, related to governance, funding, accountability, innovation, quality and public service, it provides a reliable media resource and presents lines of future development.

This book presents a broad range of deep-learning applications related to vision, natural language processing, gene expression, arbitrary object recognition, driverless cars, semantic image segmentation, deep visual residual abstraction, brain-computer interfaces, big data processing, hierarchical deep learning networks as game-playing artefacts using regret matching, and building GPU-accelerated deep learning frameworks. Deep learning, an advanced level of machine learning technique that combines class of learning algorithms with the use of many layers of nonlinear units, has gained considerable attention in recent times. Unlike other books on the market, this volume addresses the challenges of deep learning implementation, computation time, and the complexity of reasoning and modeling different type of data. As such, it is a valuable and comprehensive resource for engineers, researchers, graduate students and Ph.D. scholars.

The book offers a comprehensive overview of controllability problems and minimum energy control for broad classes of dynamical systems, including linear, semilinear and nonlinear systems, which are important for modeling systems in automatic control, electrical engineering, mechanics and informatics.

Key means of reducing environmental pollution from manufacturing involve reducing the main resources used in production (metals used in the machining processes, fluids/oils in production, water, and energy).

This book presents a new approach for the analysis of chaotic behavior in non-linear dynamical systems, in which output can be represented in quaternion parametrization.

This book provides a collection of high-quality research works that address broad challenges in both theoretical and applied aspects of dynamic wireless sensor networks (WSNs) for intelligent and smart applications in a variety of environments.