Books in Systems and control

Modeling, Dynamics and Control approaches for Modern Robotics

1st Edition
November 3, 2025
Ahmad Taher Azar + 1 more
English

The field of robotics has seen significant advances in recent years, spurred by breakthroughs in technology and computing power. Modern robotics encompasses a wide range of applications, from autonomous vehicles and industrial automation to humanoid robots and medical robotics. These advances have paved the way for more complex and sophisticated robotic systems capable of performing a variety of tasks with precision and efficiency. The purpose of Modeling, Dynamics and Control approaches for Modern Robotics is to explore and investigate various approaches related to modeling, dynamics and control in the context of modern robotics. The objective is to improve the understanding and development of robotic systems by applying the modern theoretical and practical principles of these fields. By studying modeling aspects, researchers aim to create accurate representations of robot kinematics and dynamics, allowing better analysis and prediction of robot behavior. Additionally, this title focuses on control approaches, aiming to design algorithms and strategies for precise and efficient control of robotic systems. This involves developing control schemes that optimize robot performance, provide stability, and allow adaptation to changing environments or tasks. The research also considers the integration of sensory feedback and perception systems, allowing robots to interact with their environment and make informed decisions.

Nonlinear Dynamics Approach to Robotic Capsule Endoscopy

1st Edition
November 1, 2025
Yang Liu
English
Paperback
9 7 8 0 4 4 3 2 8 8 3 2 6
eBook
9 7 8 0 4 4 3 2 8 8 3 3 3

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.

Human-Machine interfaces in Medical Robotics

1st Edition
September 1, 2025
Yanpei Huang + 6 more
English
Paperback
9 7 8 0 4 4 3 1 3 7 2 3 5
eBook
9 7 8 0 4 4 3 1 3 7 2 4 2

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.

Reliability Analysis and Modeling for Complex Systems

1st Edition
September 1, 2025
Seifedine Kadry + 1 more
English

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.

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

1st Edition
July 1, 2025
Chunhui Zhao + 1 more
English
Paperback
9 7 8 0 4 4 3 3 3 6 7 5 1
eBook
9 7 8 0 4 4 3 3 3 6 7 6 8

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
May 1, 2025
Yujiang Xiang + 1 more
English
Paperback
9 7 8 0 4 4 3 2 1 9 9 8 6
eBook
9 7 8 0 4 4 3 2 1 9 9 9 3

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
April 11, 2025
Rajesh Kumar Dhanaraj + 3 more
English
eBook
9 7 8 0 4 4 3 3 0 0 4 1 7

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

1st Edition
March 19, 2025
Gerasimos Rigatos + 3 more
English
eBook
9 7 8 0 4 4 3 2 8 8 5 5 5

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.

Modeling and Control of Dynamic Spatially Distributed Systems

1st Edition
November 8, 2024
Yizhi Wang + 1 more
English
Paperback
9 7 8 0 3 2 3 9 5 3 9 2 4
eBook
9 7 8 0 3 2 3 9 5 3 9 1 7

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

1st Edition
November 5, 2024
Jin-Liang Wang + 3 more
English
Paperback
9 7 8 0 4 4 3 2 7 3 2 6 1
eBook
9 7 8 0 4 4 3 2 7 3 2 7 8

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.

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