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Books in Systems and control

The Systems and Control collection addresses theory and applications in automation, feedback control, robotics, and dynamic system modeling. It provides researchers and engineers with advanced methodologies to design, analyze, and optimize complex engineered systems. Highlighting integration with AI, IoT, and smart technologies, this portfolio supports innovation in industrial, aerospace, and robotic control systems.

  • Spatio-Temporal Learning and Monitoring for Complex Dynamic Processes with Irregular Data

    • 1st Edition
    • Chunhui Zhao + 1 more
    • English
    Spatio-Temporal Learning Using Irregular Data for Complex Dynamic Processes introduces learning, modeling, and monitoring methods for highly complex dynamic processes with irregular data. Two classes of robust modeling methods are highlighted, including low-rank characteristic of matrices and heavy-tailed characteristic of distributions. In this class, the missing data, ambient noise, and outlier problems are solved using low-rank matrix complement for monitoring model development. Secondly, the Laplace distribution is explored, which is adopted to measure the process uncertainty to develop robust monitoring models.The book not only discusses the complex models but also their real-world applications in industry.

  • Introduction to Digital Human Modeling

    • 1st Edition
    • Yujiang Xiang + 1 more
    • English
    Introduction to Digital Human Modeling bridges the gap in current literature by providing a comprehensive resource on digital human modeling for beginners and researchers. The content includes step-by-step procedures for building a digital human model, fundamental human kinematics and dynamics, advanced topics such as motion prediction and injury prevention, and industrial applications. The book covers theoretical concepts and experimental validation, including human anatomy, degrees of freedom, skeletal and musculoskeletal modeling, equations of motion, reach envelopes, lifting prediction, muscle fatigue model, and injury analysis. It teaches readers how to build simulation-based human models, set up equations of motion, analyze human biomechanics, and utilize simulations and experiments to study worker injuries. Furthermore, the book introduces both fundamental and advanced digital human modeling methods and optimization techniques aimed at improving performance and preventing injuries in manual material handling, as well as addressing lifting and gait biomechanics and ergonomics.

  • Knowledge Graph-Based Methods for Automated Driving

    • 1st Edition
    • Rajesh Kumar Dhanaraj + 3 more
    • English
    The global race to develop and deploy automated vehicles is still hindered by significant challenges, with the related complexities requiring multidisciplinary research approaches. Knowledge Graph-Based Methods for Automated Driving offers sought-after, specialized know-how for a wide range of readers both in academia and industry on the use of graphs as knowledge representation techniques which, compared to other relational models, provide a number of advantages for data-driven applications like automated driving tasks. The machine learning pipeline presented in this volume incorporates a variety of auxiliary information, including logic rules, ontology-informed workflows, simulation outcomes, differential equations, and human input, with the resulting operational framework being more reliable, secure, efficient as well as sustainable. Case studies and other practical discussions exemplify these methods’ promising and exciting prospects for the maturation of scalable solutions with potential to transform transport and logistics worldwide.

  • Autonomous Electric Vehicles

    Nonlinear Control, Traction, and Propulsion
    • 1st Edition
    • Gerasimos Rigatos + 3 more
    • English
    Autonomous Electric Vehicles explores cutting-edge technologies revolutionizing transportation and city navigation. Novel solutions to the control problem of the complex nonlinear dynamics of robotized electric vehicles are developed and tested. The new control methods are free of shortcomings met in control schemes which are based on diffeomorphisms and global linearization (complicated changes of state variables, forward and backwards state-space transformations, singularities). It is shown that such methods can be used in the steering and traction system of several types of robotized electric vehicles without needing to transform the state-space model of these systems into equivalent linearized forms. It is also shown that the new control methods can be implemented in a computationally simple manner and are also followed by global stability proofs.

  • Biomedical Robots and Devices in Healthcare

    Opportunities and Challenges for Future Applications
    • 1st Edition
    • Faiz Iqbal + 3 more
    • English
    Biomedical Robots and Devices in Healthcare: Opportunities and Challenges for Future Applications explores recent advances and challenges involved in using these techniques in healthcare and biomedical engineering, offering insights and guidance to researchers, professionals, and graduate students interested in this area. The book covers key topics such as the current state-of-the-art in biomedical robotics and devices, the role of emerging technologies like artificial intelligence and machine learning, rehabilitation robotics, and the optimization techniques for optimal design and control. The book concludes by exploring the potential future developments and trends in the field of biomedical robotics and devices and their healthcare implications.

  • Modeling and Control of Dynamic Spatially Distributed Systems

    Pharmaceutical Processes
    • 1st Edition
    • Yizhi Wang + 1 more
    • English
    Modeling and Control of Dynamic Spatially Distributed Systems: Pharmaceutical Processes provides a balanced approach to help readers to get started quickly in the field of biochemical pharmaceuticals. From a theoretical perspective, dynamic spatially distributed systems are introduced to address their industrial applications. After identifying problems, the book provides readers with modeling and control system design techniques via a novel fuzzy set (class of objects with a continuum of grades of membership, to describe the grade of the object belonging to this fuzzy set) and intelligent computation methods.From an application perspective, the book provides a thorough understanding of Good Manufacture Practices (GMP) and the importance of identification, modelling, and intelligent control of such systems, reducing the test-and-error cost, and the R&D design time cycle of original drug development.

  • Cooperative Control of Nonlinear Multiagent Systems

    Passivity-Based and Non-Passivity-Based Approaches
    • 1st Edition
    • Jin-Liang Wang + 3 more
    • English
    Cooperative Control for Nonlinear Multiagent Systems: Passivity-Based and Non-Passivity-Based Approaches focuses on the cooperative control of nonlinear multiagent systems containing passivity-based or non-passivity-based consensus, lag consensus, and formation control of multiagent systems. The book provides professional and convenient guidance for those who want to know basic knowledge, advancements, and processes for designing and analyzing cooperative control for nonlinear multiagent systems.Currently, there are a lack of reference titles that systematically introduce students, researchers, and technologists to the backgrounds, developments, and designs protocols for cooperative control (contains passivity-based or not passivity-based consensus, lag consensus, formation control) of nonlinear multiagent systems.

  • Reliability Assessment and Optimization of Complex Systems

    • 1st Edition
    • Akshay Kumar + 2 more
    • English
    Reliability Assessment and Optimization of Complex Systems delves into a range of tools and techniques for designing optimized complex systems. Each chapter explores system modeling and the implementation of various metaheuristics for optimization purposes. This book provides readers in the domain of applied mathematics with a comprehensive understanding of system reliability analysis and improvement, thereby offering substantial value to their knowledge and expertise. System reliability has become the paramount attribute of any production unit. The process of maximizing system reliability while adhering to multiple constraints is referred to as reliability optimization.There are two primary approaches to enhancing a system's performance and reliability: developing a product with reduced failures (failure avoidance) or incorporating resilience to ensure the system continues functioning even in the event of a failure (fault tolerance).

  • Recent Progress in Medical Miniature Robots

    from Bench to Bedside
    • 1st Edition
    • Li Zhang + 2 more
    • English
    Recent Progress in Medical Miniature Robots: From Bench to Bedside serves as aspecialized and dedicated reference on miniature robots and their related biomedicalapplicatio... This book presents the latest achievements in the research of miniaturerobotics and introduces a variety of miniature robots on the milli-/micro-/nano-s... withtethered/untethe... and individual/swarm designs, describing the various types andanalyzing the underlying principles per class. Recent Progress in Medical Miniature Robots:From Bench to Bedside is suitable for clinicians, academicians, healthcare professionals,resear... students, engineers, and scientists working in the field of medical miniaturerobots and related biomedical applications.

  • Handbook of Robotic Surgery

    • 1st Edition
    • Stênio de Cássio Zequi + 1 more
    • English
    Handbook of Robotic Surgery serves as a primer covering the main areas of knowledge in robotic surgery. This comprehensive book provides essential information on all aspects related to robotic surgery, from the present up to the future. The discussion presented in sections ranges from the historical background of robotic surgery up to more recent and future technological innovations such as remote controls, surgically distant collaboration, simulators, modern surgical robotics, fluorescence-guided surgery, and virtual reality. The book also contains sections dedicated to the safety conditions in surgery and patient protection, which will be suitable for surgeons, health professionals, biomedical engineering professionals, healthcare administrators, and students. There are specific chapters for all areas in which robotic surgery has been used in daily clinical practice or is under development.

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