Cybernetics and systems theory

This book is the first of its kind, combining international perspectives on the current ethical considerations and challenges facing bioarchaeologists in the recovery, analysis, curation, and display of human remains.

This easy-to-understand book discusses applications of current technologies and the foundations for their extension into emerging areas in the future.

This practical guidebook describes the basic concepts, the mathematical developments, and the engineering methodologies for exploiting possibility theory for the computer-based design of an information fusion system where the goal is decision support for industries in smart ICT (information and communications technologies).

Within this carefully presented monograph, the authors extend the universal phenomenon of synchronization from finite-dimensional dynamical systems of ordinary differential equations (ODEs) to infinite-dimensional dynamical systems of partial differential equations (PDEs).

In the context of life sciences, we are constantly confronted with information that possesses precise semantic values and appears essentially immersed in a specific evolutionary trend.

This book presents new findings in industrial cyber-physical system design and control for various domains, as well as their social and economic impacts on society.

This book covers all the emerging trends in artificial intelligence (AI) and the Internet of Things (IoT).

This book presents new findings on cyber-physical systems design and modelling approaches based on AI and data-driven techniques, identifying the key industrial challenges and the main features of design and modelling processes.

This is a textbook on chaos and nonlinear dynamics, written by applied mathematicians for applied mathematicians.

This book proposes a novel technique, named artifact-driven process monitoring, by which multi-party processes, involving non-automated activities, can be continuously and autonomously monitored.

This book extrapolates many of the concepts that are well defined for discrete-time deterministic sliding-mode control for use with discrete-time stochastic systems.

This book discusses a broad range of cyber security issues, addressing global concerns regarding cyber security in the modern era.

This book addresses the challenging topic of modeling adaptive networks, which often manifest inherently complex behavior.

This book discusses the realization and control problems of finite-dimensional dynamical systems which contain linear and nonlinear systems.

This book presents papers from HealthyIoT 2018, the fifth edition of an international scientific event series dedicated to Internet of Things and Healthcare.

"e;Social Simulation for a Digital Society"e; provides a cross-section of state-of-the-art research in social simulation and computational social science.

Estimation and Inference in Discrete Event Systems chooses a popular model for emerging automation systems-finite automata under partial observation-and focuses on a comprehensive study of the key problems of state estimation and event inference.

This book provides the conceptual foundation of security risk assessment and thereby enables reasoning about risk from first principles.

This book addresses the major challenges in realizing unmanned aerial vehicles (UAVs) in IoT-based Smart Cities.

This book reports on research and developments in human-technology interaction.

This book details the simulation and optimization of integer and fractional-order chaotic systems, and how they can be implemented in the analog and digital domains using FPAAs and FPGAs.

This volume contains extended abstracts outlining selected presentations delivered by participants of the joint international multidisciplinary workshop MURPHYS-HSFS-2018 (MUltiRate Processes and HYSteresis; Hysteresis and Slow-Fast Systems), dedicated to the mathematical theory and applications of the multiple scale systems, the systems with hysteresis and general trends in the dynamical systems theory.

The book provides an encompassing overview of all aspects relating to the sharing economy paradigm in different fields of study, and shows the ongoing research efforts in filling previously identified gaps in understanding in this area.

This book is the first of its kind, combining international perspectives on the current ethical considerations and challenges facing bioarchaeologists in the recovery, analysis, curation, and display of human remains.

The book discusses subjective ratings of quality and preference of unknown voices and dialog partners - their likability, for example.

This book provides profound insights into industrial control system resilience, exploring fundamental and advanced topics and including practical examples and scenarios to support the theoretical approaches.

From past decades, Computational intelligence embraces a number of nature-inspired computational techniques which mainly encompasses fuzzy sets, genetic algorithms, artificial neural networks and hybrid neuro-fuzzy systems to address the computational complexities such as uncertainties, vagueness and stochastic nature of various computational problems practically.

Neural Approximations for Optimal Control and Decision provides a comprehensive methodology for the approximate solution of functional optimization problems using neural networks and other nonlinear approximators where the use of traditional optimal control tools is prohibited by complicating factors like non-Gaussian noise, strong nonlinearities, large dimension of state and control vectors, etc.

Fractional equations and models play an essential part in the description of anomalous dynamics in complex systems.

Written by leading experts in an emerging field, this book offers a unique view of the theory of stochastic partial differential equations, with lectures on the stationary KPZ equation, fully nonlinear SPDEs, and random data wave equations.

This book provides a brief, self-contained introduction to Carleman estimates for three typical second order partial differential equations, namely elliptic, parabolic, and hyperbolic equations, and their typical applications in control, unique continuation, and inverse problems.

This book presents high-quality, original contributions (both theoretical and experimental) on software engineering, cloud computing, computer networks & internet technologies, artificial intelligence, information security, and database and distributed computing.

This book deals with the science of science by applying network science methods to citation networks and uniquely presents a physics-inspired model of citation dynamics.

This book is about improving human decision making and performance in complex, dynamic tasks.

This book aims to explore the supercomplexity of interaction and to suggest ways of teaching about this supercomplexity in various settings, including intercultural communication and language-learning.

Nobody has to tell you that when things go bad, they go bad quickly and seemingly in bunches.

This fourth edition of the book provides readers with a detailed explanation of PLM, enabling them to gain a full understanding and the know-how to implement PLM within their own business environment.

This book discusses human perception and performance within the framework of the theory of self-organizing systems.

This book presents a general and comprehensive framework for the assurance of quality in measurements.

This book deals with integrated Web, mobile, and IoT technologies.

This book is an introduction to a comprehensive and unified dynamic transition theory for dissipative systems and to applications of the theory to a range of problems in the nonlinear sciences.

This book is aimed toward graduate students and researchers in mathematics, physics and engineering interested in the latest developments in analytic inequalities, Hilbert-Type and Hardy-Type integral inequalities, and their applications.

This research monograph is highly contextual in the present era of spatial/spatio-temporal data explosion.

This book constitutes the proceedings of the 6th International Symposium on Chaos, Complexity and Leadership (ICCLS).

This book contains a modern selection of about 200 solved problems and examples arranged in a didactic way for hands-on experience with course work in a standard advanced undergraduate/first-year graduate class in thermodynamics and statistical physics.

This book applies cutting-edge methods from cognitive and evolutionary theories to develop models of conflict between hierarchically-structured cognitive entities under circumstances of imprecision, uncertainty and stress.

This book describes recent developments in a wide range of areas, including the modeling, analysis and control of dynamical systems, and explores related applications.

This book provides an overview of network science from the perspective of diverse academic fields, offering insights into the various research areas within network science.

This book offers a comprehensive overview of thermodynamics.

This book is devoted to Prof.