Hamid Reza Karimi – författare

Stability, Control and Application of Time-Delay Systems gives a systematic description of these systems. It includes adequate designs of integrated modeling and control and frequency characterizations. Common themes revolve around creating certain synergies of modeling, analysis, control, computing and applications of time delay systems that achieve robust stability while retaining desired performance quality. The book provides innovative insights into the state-of-the-art of time-delay systems in both theory and practical aspects. It has been edited with an emphasis on presenting constructive theoretical and practical methodological approaches and techniques.

Unifies existing and emerging concepts concerning time delay dynamical systems Provides a series of the latest results in large-delay analysis and multi-agent and thermal systems with delays Gives in each chapter numerical and simulation results in order to reflect the engineering practice

New Trends in Observer-Based Control: A Practical Guide to Process and Engineering Applications presents a concise introduction to the latest advances in observer-based control design. The book gives a comprehensive tutorial on new trends in the design of observer-based controllers for which the separation principle is well established. It covers a wide range of applications, also including worked examples that make it ideal for both advanced courses and researchers starting work in the field. This book is also particularly suitable for engineers who want to quickly and efficiently enter the field.

Presents a clear-and-concise introduction to the latest advances in observer-based control design Offers content on many facets of observer-based control design Discusses key applications in the fields of power systems, robotics and mechatronics, flight and automotive systems

New Trends in Observer-Based Control: An Introduction to Design Approaches and Engineering Applications, Volume One presents a clear-and-concise introduction to the latest advances in observer-based control design. It provides a comprehensive tutorial on new trends in the design of observer-based controllers for which the separation principle is well established. In addition, since the theoretical developments remain more advanced than the engineering applications, more experimental results are still needed. A wide range of applications are covered, and the book contains worked examples which make it ideal for both advanced courses and researchers starting in the field.

Presents a clear-and-concise introduction to the latest advances in observer-based control design Offers concise content on the many facets of observer-based control design Discusses key applications in the fields of power systems, robotics and mechatronics, and flight and automotive systems

Fundamental Design and Automation Technologies in Offshore Robotics introduces technological design, modelling, stability analysis, control synthesis, filtering problem and real time operation of robotics vehicles in offshore environments.

The book gives numerical and simulation results in each chapter to reflect the engineering practice yet demonstrate the focus of the developed analysis and synthesis approaches. The book is ideal to be used as a reference book for senior and graduate students. It is written in a way that the presentation is simple, clear, and easy to read and understand which would be appreciated by graduate students. Researchers working on marine vehicles and robotics would be able to find reference material on related topics from the book.

The book could be of a significant interest to the researchers within offshore and deep see society, including both academic and industrial parts.

Provides a series of latest results in, including but not limited to, motion control, robotics, and multi-vehicle systems towards offshore environment Presents recent advances of theory, technological aspects, and applications of robotics in offshore environment Offers a comprehensive and up-to-date references, which plays an indicative role for further study of the reader

Vibration Control and Actuation of Large-Scale Systems gives a systematically and self-contained description of the many facets of envisaging, designing, implementing, or experimentally exploring advanced vibration control systems. The book is devoted to the development of mathematical methodologies for vibration analysis and control problems of large-scale systems, including structural dynamics, vehicle dynamics and wind turbines, for example. The research problems addressed in each chapter are well motivated, with numerical and simulation results given in each chapter that reflect best engineering practice.

Provides a series of the latest results in vibration control, structural control, actuation, component failures, and more Gives numerical and simulation results to reflect best engineering practice Presents recent advances of theory, technological aspects, and applications of advanced control methodologies in vibration control

Fault Diagnosis and Prognosis Techniques for Complex Engineering Systems gives a systematic description of the many facets of envisaging, designing, implementing, and experimentally exploring emerging trends in fault diagnosis and failure prognosis in mechanical, electrical, hydraulic and biomedical systems. The book is devoted to the development of mathematical methodologies for fault diagnosis and isolation, fault tolerant control, and failure prognosis problems of engineering systems. Sections present new techniques in reliability modeling, reliability analysis, reliability design, fault and failure detection, signal processing, and fault tolerant control of engineering systems.

Sections focus on the development of mathematical methodologies for diagnosis and prognosis of faults or failures, providing a unified platform for understanding and applicability of advanced diagnosis and prognosis methodologies for improving reliability purposes in both theory and practice, such as vehicles, manufacturing systems, circuits, flights, biomedical systems. This book will be a valuable resource for different groups of readers - mechanical engineers working on vehicle systems, electrical engineers working on rotary machinery systems, control engineers working on fault detection systems, mathematicians and physician working on complex dynamics, and many more.

Presents recent advances of theory, technological aspects, and applications of advanced diagnosis and prognosis methodologies in engineering applications Provides a series of the latest results, including fault detection, isolation, fault tolerant control, failure prognosis of components, and more Gives numerical and simulation results in each chapter to reflect engineering practices

This book presents analysis and design for a class of stochastic systems with semi-Markovian jump parameters. It explores systematic analysis of semi-Markovian jump systems via sliding mode control strategy which makes up the shortages in the analysis and design of stochastic systems. This text provides a novel estimation method to deal with the stochastic stability of semi-Markovian jump systems along with design of novel integral sliding surface. Finally, Takagi-Sugeno fuzzy model approach is brought to deal with system nonlinearities and fuzzy sliding mode control laws are provided to ensure the stabilization purpose. Features: Presents systematic work on sliding mode control (SMC) of semi-Markvoain jump systems. Explores SMC methods, such as fuzzy SMC, adaptive SMC, with the presence of generally uncertain transition rates. Provides novel method in dealing with stochastic systems with unknown switching information. Proposes more general theories for semi-Markovian jump systems with generally uncertain transition rates. Discusses practical examples to verify the effectiveness of SMC theory in semi-Markovian jump systems.This book aims at graduate and postgraduate students and for researchers in all engineering disciplines, including mechanical engineering, electrical engineering and applied mathematics, control engineering, signal processing, process control, control theory and robotics.

This book presents analysis and design for a class of stochastic systems with semi-Markovian jump parameters. It explores systematic analysis of semi-Markovian jump systems via sliding mode control strategy which makes up the shortages in the analysis and design of stochastic systems. This text provides a novel estimation method to deal with the stochastic stability of semi-Markovian jump systems along with design of novel integral sliding surface. Finally, Takagi-Sugeno fuzzy model approach is brought to deal with system nonlinearities and fuzzy sliding mode control laws are provided to ensure the stabilization purpose. Features: Presents systematic work on sliding mode control (SMC) of semi-Markvoain jump systems. Explores SMC methods, such as fuzzy SMC, adaptive SMC, with the presence of generally uncertain transition rates. Provides novel method in dealing with stochastic systems with unknown switching information. Proposes more general theories for semi-Markovian jump systems with generally uncertain transition rates. Discusses practical examples to verify the effectiveness of SMC theory in semi-Markovian jump systems.This book aims at graduate and postgraduate students and for researchers in all engineering disciplines, including mechanical engineering, electrical engineering and applied mathematics, control engineering, signal processing, process control, control theory and robotics.

The book gives a systematical and almost self-contained description of the many facets of envisaging, designing, implementing or experimentally exploring offshore mechatronics and systems along the adequate designs of integrated modeling, safety, control and supervision infrastructure. With the rapid improvements in offshore technologies in various fields such as oil and gas industry, wind energy, robotics and logistics, many researchers in academia and industry have focused on technology-based challenges raised in offshore environment. This book introduces novel theoretical or practical techniques for offshore mechatronics systems. Chapters cover general application model-based systems engineering, wind energy, control systems, mechanics, health monitoring, safety critical human-machine systems, logistics and offshore industrial complexes such as oil and gas operations, robotics, large space structures and autonomous underwater vehicles, and some other advanced technologies. The core feature of this book is that of establishing synergies of modeling, control, computing and mechanics in order to achieve not only robust plant system operation but also properties such as safety, cost, integrity and survivability while retaining desired performance quality. The book provides innovative insights into applications aspects and theoretical understanding of complex offshore mechatronics systems that has emerged in recent years, either via physical implementations or via extensive computer simulations in addition to sound innovated theoretical developments. It will serve as a reference for graduate and postgraduate students and for researchers in all engineering disciplines, including mechanical engineering, electrical engineering and applied mathematics to explore the state-of-theart techniques for solving problems of integrated modeling, control and supervision of complex offshore plants with collective safety and robustness. Thus it shall be useful as a guidance for system engineering practitioners and system theoretic researchers alike.

In the fields of dynamical systems and control theory, a fractional-order system is a dynamical system that can be modeled by a fractional differential equation containing derivatives of non-integer order. In control systems, sliding mode control (SMC) is a nonlinear control method that alters the dynamics of a nonlinear system by applying a discontinuous control signal (or more rigorously, a set-valued control signal) that forces the system to "slide" along a cross-section of the system's normal behavior. Sliding Mode Control of Fractional-order Systems discusses the design of several types of fractional-order systems. Sliding mode control strategy allows the exploration of the problems of projection synchronization control, finite-time stability, asymptotic stability, and formation control of fractional-order systems, which make up the shortages in the analysis and design of fractional-order systems. The book focuses on several types of fractional-order control systems, combined with the sliding-mode control (SMC) and event-triggered control, the problems of projection synchronization control, finite-time stability, asymptotic stability, and formation control for those systems are explored, which makes up the shortages in the analysis and design of fractional-order systems.Provides a comprehensive and clear explanation of recent developments in sliding mode control of fractional-order systemsUnifies existing and emerging concepts concerning sliding mode control of fractional-order systemsProvides a series of the latest results in, including but not limited to, projective synchronization control, exponential consensus control, formation control and fractional-order event-triggered control

Learning-Based Predictions and Soft Sensing for Process Industries: Theory, Methodology and Applications covers prediction and soft sensing in industrial processes that are subject to specific challenges with AI-empowered learning algorithms. With the aid of a data-driven modeling strategy, the book explores the problems of industrial prediction and soft sensing and formulates a series of learning-based theory, methodologies, and applications. The book introduces the basics of prediction and soft sensing backgrounds, including different categories of prediction theory. Secondly, covers the foundations of machine learning methodologies, including supervised learning prediction, semi-supervised, and self-supervised prediction. Finally, the book examines novel learning-based models/architectures.Covers the benefits and an explanation of recent developments in prediction and soft sensing systemsUnifies existing and emerging concepts surrounding advanced prediction models/architecturesProvides a series of the latest results in, including, but not limited to, supervised learning, semi-supervised learning, self-supervised learning, probabilistic learning

Event-Driven State Estimation for Stochastic Networked Systems offers a comprehensive and clear explanation of recent developments in event-based state estimation for stochastic systems within limited communication networks, bringing together existing and emerging concepts. It provides a series of the latest results in, including but not limited to, recursive state estimation, fusion estimation, and state and fault estimation. The book provides practitioner readers with practical tools for the analysis and design of stochastic systems under limited communication networks, capturing recent advances in theory, technological aspects and real-world applications of advanced event-based state estimation methodologies. Realistic research problems are addressed in each chapter, with numerical and simulation results provided to reflect engineering practice, while demonstrating the main focus of the developed estimation approaches. The book is an advanced-level resource presented in an accessible manner, appealing to senior students as a core reference and to researchers and practitioners alikeSummarizes the latest research concepts, conclusions and applications of event-based state estimation methodologies for stochastic systems under limited communication networksAddresses the analysis and design of various types of stochastic systems under event-triggered mechanismsUtilizing state estimation strategies, challenges such as recursive state estimation, fusion estimation, and state and fault estimation for different stochastic systems are exploredUtilizing state estimation strategies, the book challenges such as recursive state estimation, fusion estimation, and state and fault estimation for different stochastic systems are explored

The book gives a systematical and almost self-contained description of the many facets of envisaging, designing, implementing or experimentally exploring offshore mechatronics and systems along the adequate designs of integrated modeling, safety, control and supervision infrastructure. With the rapid improvements in offshore technologies in various fields such as oil and gas industry, wind energy, robotics and logistics, many researchers in academia and industry have focused on technology-based challenges raised in offshore environment. This book introduces novel theoretical or practical techniques for offshore mechatronics systems. Chapters cover general application model-based systems engineering, wind energy, control systems, mechanics, health monitoring, safety critical human-machine systems, logistics and offshore industrial complexes such as oil and gas operations, robotics, large space structures and autonomous underwater vehicles, and some other advanced technologies. The core feature of this book is that of establishing synergies of modeling, control, computing and mechanics in order to achieve not only robust plant system operation but also properties such as safety, cost, integrity and survivability while retaining desired performance quality. The book provides innovative insights into applications aspects and theoretical understanding of complex offshore mechatronics systems that has emerged in recent years, either via physical implementations or via extensive computer simulations in addition to sound innovated theoretical developments. It will serve as a reference for graduate and postgraduate students and for researchers in all engineering disciplines, including mechanical engineering, electrical engineering and applied mathematics to explore the state-of-theart techniques for solving problems of integrated modeling, control and supervision of complex offshore plants with collective safety and robustness. Thus it shall be useful as a guidance for system engineering practitioners and system theoretic researchers alike.

With the rapid growth of wind energy worldwide, challenges in the operation and control of wind turbine systems are becoming increasingly important. These affect all parts of the system, and require an integrated approach to optimize safety, cost, integrity and survivability of the system, while retaining the desired performance quality.This book conveys up to date theoretical and practical techniques applicable to the control of wind turbine systems. Topics covered include wave loads on monopole-supported offshore wind turbines; numerical and experimental tools for small wind turbine load analysis; structural control concepts for load reduction of offshore wind turbines; towards farm-level health management of wind turbine systems; data-based approaches to the monitoring of wind turbines; fault diagnostics for electrically operated pitch systems in offshore wind turbines; an emulator prototype design for vibration control of magnetic bearings for wind turbine power generator shafts; condition monitoring and diagnostics of wind turbine power trains; and robust fuzzy fault tolerant control wind energy systems subject to actuator and sensor faults.

With the rapid growth of wind energy worldwide, and the increasing size of wind turbine systems, addressing challenges in their operation and control is becoming increasingly important. These challenges affect all components of wind turbine systems, and require an integrated approach to optimize safety, cost, structural integrity and system survivability, while maintaining the desired performance quality.This book has established itself as a reliable reference for researchers and engineers in mechatronics and control, specifically for wind power, as well as for manufacturers of wind farm equipment and turbine systems. It conveys theoretical and practical techniques that are instrumental for the control of wind turbine systems, such as load analysis, control concepts, health diagnosis and monitoring, and fuzzy fault tolerant control.The new edition features revised as well as all-new chapters covering recent advances in the field, on both small turbines and large systems. Topics include numerical and experimental tools for turbine load analysis, health monitoring, control, transformer models, power prediction, robust fuzzy fault tolerant control, and use of digital twins.

SmartGov 2021 - International Conference on Smart Governance for Sustainable Smart Cities; SmartGift 2021 - International Conference on Smart Grid and Innovative Frontiers in Telecommunications; e PFSM 2021 - International Conference on Privacy and Forensics in Smart Mobility. The 45 full papers were carefully selected from 109 submissions.

This book constitutes the proceedings of the 13th International Conference on Sensor Systems and Software, S-Cube 2022, which was held in Dalian, China, in December 7-9, 2022.