Systems and control print books and ebooks | Elsevier

Swarm Robotics Solutions for National Security and Marine Forensics

1st Edition
March 1, 2026
Adarsh Kumar + 3 more
English
Paperback
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eBook
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Swarm Robotics Solutions for National Security and Marine Forensics explores the cutting-edge applications of swarm robotics in safeguarding national security and advancing marine forensics. This book delves into the innovative use of collaborative robotic systems inspired by nature, where multiple autonomous agents work together seamlessly to address complex challenges. From enhancing surveillance and reconnaissance capabilities for national defence to revolutionizing marine forensic investigations, this comprehensive guide highlights the transformative impact of swarm robotics on critical domains. A must-read for researchers, practitioners, and enthusiasts in robotics, artificial intelligence, and security, this book illuminates the future possibilities of swarm robotics in shaping a safer and more secure world.

Time-Synchronized Control and Applications for Autonomous Systems

1st Edition
March 1, 2026
Dongyu Li
English
Paperback
9 7 8 0 4 4 3 3 3 7 1 8 5
eBook
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Previous research on finite/fixed/predefi... control and its relevant sliding mode structures focus on forcing a system state (vector) to converge within a certain time moment, regardless of how each state element converges. Time-Synchronized Control and Applications for Autonomous Systems introduces a control problem with unique finite/fixed/predefi... stability considerations, namely time-synchronized stability, where at the same time, all the system state elements converge to the origin. This book also delves into the wide-ranging applications of time-synchronized control in various practical control systems, including but not limited to spacecraft attitude control/tracking, satellite orbit control, dynamic positioning of vessels, cooperative control of autonomous vehicles, etc. In addition, a diverse array of control system models are considered, encompassing disturbed systems, chaotic systems, multi-input multi-output (MIMO) systems, nonlinear systems, and Euler-Lagrange systems. Through an in-depth exploration of these specific cases, this book showcases the versatility and effectiveness of time-synchronized control methods across different domains, providing readers with a comprehensive perspective on their practical utility.

Nonlinear Dynamics Approach to Robotic Capsule Endoscopy

1st Edition
November 1, 2025
Yang Liu + 2 more
English
Paperback
9 7 8 0 4 4 3 2 8 8 3 2 6
eBook
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Nonlinear Dynamics Approach to Robotic Capsule Endoscopy is an innovative resource that explores the development and progress of self-propelled capsule robots for medical use. This book guides readers from the initial conceptual stages to the final proof-of-concept demonstrations, with a special focus on applied dynamics principles. It introduces various mathematical modeling techniques that allow these robots to navigate and propel themselves within the human intestine. Researchers, professors, engineers, and postgraduate students alike will find this a crucial addition to their libraries.The book's multidisciplinary approach ensures a thorough understanding of the subject, enabling the design of new driving technologies for capsule endoscopy. It combines theoretical foundations with practical insights, making it an invaluable resource for applied mathematics, robotics, and biomechanical engineering. The comprehensive coverage of this book provides guidance in designing and optimizing advanced medical devices, pushing the boundaries of current medical practices and advancing the field of capsule endoscopy.

Adaptive Backstepping Consensus Control for Nonlinear Multi-Agent Systems

1st Edition
December 1, 2025
Lin Zhao + 1 more
English
Paperback
9 7 8 0 4 4 3 4 1 6 4 4 6
eBook
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Adaptive Backstepping Consensus Control for Nonlinear Multi-Agent Systems: Command Filtered Backstepping offers a new design solution for students, researchers, and engineers working on distributed cooperative control problems for nonlinear multi-agent systems. The book is structured around six key topics, focusing on command filtered backstepping-based distributed adaptive consensus control. By combining command filtered backstepping techniques with adaptive control, fuzzy logic systems, neural networks, and other control approaches, the book investigates and proposes control schemes for the consensus control problem of nonlinear multi-agent systems. Readers will gain a comprehensive understanding of consensus control based on adaptive command filtered backstepping technology.

Stabilization of Uncertain Fractional-Order Neutral-Type Delay Systems

1st Edition
December 1, 2025
António M. Lopes + 2 more
English
Paperback
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eBook
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Stabilization of Uncertain Fractional-Order Neutral-Type Delay Systems focuses on stabilizing uncertain fractional-order (FO) neutral-type (FONT) systems, addressing challenges like control input saturation and actuator delay. Beginning with a comprehensive introduction, it progresses from constant fractional-order FONT (CFONT) systems to variable fractional-order FONT (VFONT) systems. It explores non-optimal and sub-optimal control techniques, such as guaranteed cost controllers (GCC), offering closed-loop stability and performance. Stabilization conditions are presented as linear matrix inequalities (LMIs), facilitating easy resolution with available toolboxes like Matlab's LMI toolbox, or free software such as SEDUMI and YALMIP. The book investigates both state- and output-feedback controller structures. While most literature focuses on state-feedback control, the book acknowledges the limitations of accessing all system states and explores output-feedback control as an alternative. Both static and dynamic feedback controller types are studied, with dynamic feedback controllers offering improved transient response at the expense of increased complexity.

Reliability Analysis and Modeling for Complex Systems

1st Edition
October 22, 2025
Seifedine Kadry + 1 more
English
Paperback
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eBook
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Reliability Analysis and Modeling for Complex Systems is a crucial resource for engineers and technologists grappling with modern challenges. As technology advances and safety concerns mount, the complexity of systems like autonomous vehicles and critical infrastructure demands innovative reliability assessment methods. This book bridges theory and practice, offering practical solutions for professionals navigating the intricate world of reliability engineering. Through real-world case studies and interdisciplinary insights, it equips readers to address the multifaceted challenges of ensuring dependability in today's interconnected technological landscape.

Human-Machine interfaces in Medical Robotics

1st Edition
November 1, 2025
Yanpei Huang + 6 more
English

Human-Machine Interfaces in Medical Robotics presents essential and advanced information on developing intuitive human-machine interfaces (HMI) for robotic surgery and rehabilitation. This book provides extensive coverage of multidisciplinary information needed to develop efficient HMI, discussing core technologies of the field, including hand-free control strategies, sensory feedback, data-driven approaches, human-robot shared control, autonomous control, human motor adaption, training, and learning.Arranged in three parts, including interfaces in medical robotics, intelligent machines, and human users, this book provides potential solutions to open questions like what the optimal interface and efficient interaction mode is to facilitate a surgeon’s operation, a patient’s motor control, or human augmentation.

Autonomous Electric Vehicles

1st Edition
March 19, 2025
Gerasimos Rigatos + 3 more
English
Paperback
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eBook
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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.

Introduction to Digital Human Modeling

1st Edition
May 15, 2025
Yujiang Xiang + 1 more
English
Paperback
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eBook
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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.

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

1st Edition
July 1, 2025
Chunhui Zhao + 1 more
English
Paperback
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eBook
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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.

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