Bøger i Studies in Systems, Decision and Control serien

This book demonstrates the unifying methods of generalized versions of Hilfer, Prabhakar and Hilfer¿Prabhakar fractional calculi, and we establish related unifying fractional integral inequalities of the following types: Iyengar, Landau, Polya, Ostrowski, Hilbert¿Pachpatte, Hardy, Opial, Csiszar¿s f-Divergence, self-adjoint operator and related to fuzziness. Our results are univariate and multivariate. This book¿s results are expected to find applications in many areas of pure and applied mathematics, especially in fractional inequalities and fractional differential equations. Other interesting applications can be in applied sciences like geophysics, physics, chemistry, economics and engineering. This book is appropriate for researchers, graduate students, practitioners and seminars of the above disciplines, also to be in all science and engineering libraries.

This book is devoted to the development of complex methods and means of their implementation with using UAVs aimed for improving the safety and efficiency of the energy system.

The authors also illustrate the integration of deep-learning methods and mathematical modeling based on examples of successful robotic systems in various countries, and analyze the connections between robotic modeling and design from the positions of new industrial challenges.

This book presents extended versions of selected papers from the annual International Workshops on Constraint Programming and Decision Making from 2016 to 2018. In many application areas, it is necessary to make effective decisions under constraints, and there are several area-specific techniques for such decision problems.

This book presents original research articles addressing various aspects of artificial intelligence as applied to economics, law, management and optimization.

The respective papers combine a range of disciplines to analyse major agri-food challenges in Europe and South America, offering readers a practical understanding of how risk and uncertainties can be managed by means of validated data and results from agri-food systems analysis.

This book shows how to provide uncertainty-related theoretical justification for empirical dependencies, on the examples from numerous application areas.

The model has further been employed to demonstrate adaptive robust control design for such a motion. Using numerous illustrations and tables, Adaptive Robust Control for Planar Snake Robots will interest researchers, practicing engineers and postgraduate students working in the field of robotics and control systems.

This book aims through 11 chapters discussing the problems and challenges and some future research points from the recent technologies point of view such as artificial intelligence and the Internet of things (IoT) that can help the environment and healthcare sectors reducing COVID-19.

The respective chapters, written by prominent researchers, explain a wealth of both basic and advanced concepts including fuzzy QFD, fuzzy FMEA, the fuzzy Kano model, fuzzy axiomatic design, fuzzy heuristics-based design, conjoint analysis-based design, and many others.

This book constitutes the full research papers and short monographs developed on the base of the refereed proceedings of the International Conference: Information and Communication Technologies for Research and Industry (ICIT 2020).

This book constitutes the full research papers and short monographs developed on the base of the refereed proceedings of the International Conference: Information and Communication Technologies for Research and Industry (ICIT 2020).

This book is an up-to-date source for computation applications of optimization, prediction via artificial intelligence methods, and evaluation of metaheuristic algorithm with different structural applications.

This book is an up-to-date source for computation applications of optimization, prediction via artificial intelligence methods, and evaluation of metaheuristic algorithm with different structural applications.

This book includes new findings on socio-economic cyber systems control and development approaches based on AI and data-driven techniques. Approaches combined both mathematical models and data processing techniques are also proposed as advanced methods for smart system design for ecology and health care.

This book highlights cooperative coverage control approaches of multi-agent systems in uncertain environments and their applications in various fields. A novel theoretical formulation of multi-agent coverage is proposed to fulfill the coverage task via divide-and-conquer scheme.

Each chapter presented in the book proposes new dimension in the sliding mode control theory such as higher order sliding mode control, event triggered sliding mode control, networked control, higher order discrete-time sliding mode control and sliding mode control for multi-agent systems.

This book addresses some of the challenges suffered by the well-known and robust sliding-mode control paradigm. The authors show how the fusion of fuzzy systems with sliding-mode controllers can alleviate some of these problems and promote applicability.Fuzzy systems used as soft switches eliminate high-frequency signal oscillations and can substantially lower the noise sensitivity of sliding-mode controllers. The amount of a priori knowledge required concerning the nominal structure and parameters of a nonlinear system is also shown to be much reduced by exploiting the general function-approximation property of fuzzy systems so as to use them as identifiers. The main features of this book include:¿ a review of various existing structures of sliding-mode fuzzy control;¿ a guide to the fundamental mathematics of sliding-mode fuzzy controllers and their stability analysis;¿ state-of-the-art procedures for the design of a sliding-mode fuzzy controller;¿ source codes including MATLAB® and Simulink® codes illustrating the simulation of these controllers, particularly the adaptive controllers;¿ a short bibliography for each chapter for readers interested in learning more on a particular subject; and¿ illustrative examples and simulation results to support the main claims made in the text.Academic researchers and graduate students interested in the control of nonlinear systems and particularly those working in sliding-mode controller design will find this book a valuable source of comparative information on existing controllers and ideas for the development of new ones.

This book includes new findings on socio-economic cyber systems control and development approaches based on AI and data-driven techniques. Approaches combined both mathematical models and data processing techniques are also proposed as advanced methods for smart system design for ecology and health care.

The book presents recent trends and solutions to help healthcare sectors and medical staff protect themselves and others and limit the spread of the COVID-19. With contributions from experts from around the world, this book aims to help those creating and honing technology to help with this global threat.

This book presents a wide and comprehensive spectrum of issues and problems related to fractional-order dynamical systems.

Conventional drone technology is enhanced with the Internet and other emerging technologies such as cloud computing, big data, artificial intelligence and communication networks which open up for enormous opportunities like ahead for on-demand service-oriented and user-friendly IoD applications.

Entrepreneurship, Human Capital, and Management in an Age of Complexity.- Sustainable Development of Complex Social Systems.- Digital Challenges and Prospects.- The Adoption of Technological, Service, and Business Model Innovations in Complex Systems.

This book tackles the recent research directions in using the newly emerged technologies during the era of COVID-19 pandemic. It also provides insights into the current challenges and constraints in using technologies during the era of COVID-19 pandemic and exposes new opportunities for future research in the domain.

This book is well-structured book which consists of 31 full chapters. The book chapters' deal with the recent research problems in the areas of modeling, control and drug development, and it presents various techniques of COVID-19 outbreak prevention modeling. The book also concentrates on computational simulations that may help speed up the development of drugs to counter the novel coronavirus responsible for COVID-19.

This book explores the dynamic landscape in contemporary newsrooms across three continents by investigating the impact that the processes of searching, processing, and distributing data and information and the use of big data, with secure, automatic, and agile retrieval of information all have in this context. Journalistic organizations have undergone digital transformations, and only those implementing accurate transformations survive. In so doing, the book addresses the fields of e-Communication, Computer Science, and Information Science and other areas of the authors' expertise. The first five chapters focus on technical visits to investigate newsrooms' productive routines and flows in major dailies from Brazil, Costa Rica, and England. The remaining chapters consider that the news production routines are cooperative and distributed and at the same time need to be managed from different perspectives to support the convergence of digital media. Last but not least, the book also identifies an increase in ICT-based tools, with an increasing connection from new media combined with the growing trend of digital economy practices as important factors in the new landscape of digital journalism.

This book represents the experience of successful researchers from four continents on a broad range of intelligent systems, and it hints how to avoid anticipated conflicts and problems during multidisciplinary innovative research from Industry 4.0 and/or Internet of Things through modern machine learning, and software agent applications to open data science big data/advance analytics/visual analytics/text mining/web mining/knowledge discovery/deep data mining issues. The considered intelligent part is essential in most smart/control systems, cyber security, bioinformatics, virtual reality, robotics, mathematical modelling projects, and its significance rapidly increases in other technologies. Theoretical foundations of fuzzy sets, mathematical and non-classical logic also are rapidly developing.