Böcker i Studies in Systems, Decision and Control-serien

This book describes recent developments in a wide range of areas, including the modeling, analysis and control of dynamical systems, and explores related applications. The authors consider that the book is an important contribution to the state of the art in the fuzzy and dynamical systems areas.

This book is the very first book-length study devoted to the advances in technological development and systems research in cooperative economics.

This book explores the fundamentals of smart cities along with issues, controversies, problems and applications concerning security and privacy in smart city development.

This book presents powerful techniques for solving global optimization problems on manifolds by means of evolutionary algorithms, and shows in practice how these techniques can be applied to solve real-world problems. Here, these problems are reformulated as constrained global optimization tasks and solved with the help of Fuzzy ASA.

This book contains a brief historical introduction and state of the art in fractional calculus. The concepts of fractional integral and fractional derivative are also presented. Each chapter, except for the first one, contains a list of exercises containing suggestions for solving them and at last the resolution itself.

This book presents recent theoretical advances in the analysis and synthesis of discrete-time switched systems under the time-dependent switching scheme, including stability and disturbance attenuation performance analysis, control and filtering, asynchronous switching, finite-time analysis and synthesis, and reachable set estimation.

This book addresses a range of aging intensity functions, which make it possible to measure and compare aging trends for lifetime random variables.

This book summarizes strategies, methods, algorithms, frameworks and systems for the fault-tolerant design and control of automated vehicles and processes.

This book presents a comprehensive review of currently available Control Performance Assessment methods. It covers a broad range of classical and modern methods, with a main focus on assessment practice, and is intended to help practitioners learn and properly perform control assessment in the industrial reality.

This new edition surveys the full range of available structural equation modeling (SEM) methodologies. Latent variable theory and application are comprehensively explained and methods are presented for extending their power, including guidelines for data preparation, sample size calculation and the special treatment of Likert scale data.

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.

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 book introduces the latest achievements of Russian scientists regarding the theory and practice of situational control of the SEMS group. It also discusses the development of methods and algorithms for interaction of the SEMS group in situational control, based on the principles of security, flexibility, and adaptability in behavior, as well as parallelism in information processing, computing, and control.Recently, the task of ensuring the functioning of robots in the framework of collective cooperation has become relevant, and the use of the principles of situational management of the SEMS group makes it possible to ensure the efficiency, reliability and safety of real-time operation.The topics covered include, but are not limited to the following:Problems and principles of situation controlMethods and algorithms of situational controlInformation and measuring support of situational control systemsSimulation ofsituation controlThis book is intended for students, scientists, and engineers specializing in the fields of smart electromechanical systems and robotics.

The first part of the book deals with decision-making processes, and explains that hybrid wind farm operation is governed by a set of alternatives that the wind farm operator must choose from in order to achieve optimal delivery of wind power to the utility grid.

This book discusses the realization and control problems of finite-dimensional dynamical systems which contain linear and nonlinear systems. The author focuses on algebraic methods for the discussion of control problems of linear and non-linear dynamical systems.

This book identifies the important uncertainties to use in real-world problem modeling. Presenting problems that can be represented using mathematical models to create a system of linear equations, this book discusses the latest insights into uncertain information.

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.

This book provides tools and algorithms for solving a wide class of optimization tasks by learning from their repetitions. A unified framework is provided for learning algorithms that are based on the stochastic gradient (a golden standard in learning), including random simultaneous perturbations and the response surface the methodology.

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.

This book aims to extend existing works on consensus of multi-agent systems systematically. This framework relates containment to consensus and overcomes the difficulty of construction of a containment error. This book serves as a reference to the main research issues and results on consensus of multi-agent systems.

This book delivers a concise and carefully structured introduction to probability and random variables. Each chapter includes solved examples at varying levels (both introductory and advanced) in addition to problems that demonstrate the relevance of the probability and random variables in engineering.

This book gathers cutting-edge research and best practices relating to occupational risk and safety management, healthcare and ergonomics.

This book presents a detailed study on fractional-order, set-point, weighted PID control strategies and the development of curve-fitting-based approximation techniques for fractional-order parameters.

This book presents recent advanced techniques in sliding mode control and observer design for industrial power systems, focusing on their applications in polymer electrolyte membrane fuel cells and power converters.

The book investigates the role of artificial input delay in approximating unknown system dynamics, referred to as time-delayed control (TDC), and provides novel solutions to current design issues in TDC.

This book aims to provide a detailed understanding of IoMT-supported applications while engaging premium smart computing methods and improved algorithms in the field of computer science. These applications geared towards IoMT cloud analysis, machine learning, computer vision and deep learning have enabled the evaluation of the proposed solutions.

This book aims to provide a detailed understanding of IoMT-supported applications while engaging premium smart computing methods and improved algorithms in the field of computer science. These applications geared towards IoMT cloud analysis, machine learning, computer vision and deep learning have enabled the evaluation of the proposed solutions.