Books in Engineering and technology

The Engineering and Technology portfolio includes comprehensive overviews of all major research and practical developments in aerospace and automotive engineering, civil and environmental engineering, mechanical and industrial engineering, materials engineering, electrical engineering, communications engineering, and more. In-depth coverage, innovative state-of-the-art approaches, and real-world case studies provide valuable, actionable insights for researchers, applied engineers and students. The content in Elsevier's Engineering and Technology books program addresses core issues in industry and society, such as sustainability, the circular economy, AI, and automation.

Books Journals

The Control of Multiple Unmanned Aerial Vehicles

1st Edition
January 1, 2026
Mingyang Xie + 2 more
English
Paperback
9 7 8 0 4 4 3 4 0 4 3 3 7
eBook
9 7 8 0 4 4 3 4 0 4 3 4 4

The Control of Multiple Unmanned Aerial Vehicles provides readers with a unified framework to address the challenges of multi-UAV target encirclement tracking control. This is achieved by comprehensively integrating the concepts of dynamic modelling, state and disturbance estimation, guidance law design, distributed control, obstacle avoidance and reinforcement learning-based formation tracking control with multi-UAV encirclement tracking systems. The book provides practical insight and solutions to the challenges of multi-UAV use, including limited sensing, communication constraint, wind disturbances and obstacle and collision avoidance, enabling readers to effectively apply the concepts to their work or research. Cutting-edge control techniques and advanced theories are explored, including robust distributed control, adaptive neural network approximation, reinforcement learning and multi-agent systems, presenting readers with state-of-the-art methodologies from which to develop practical applications of UAV formation. Each guidance and control method presented in the book is accompanied by a thorough comprehensive analysis to ensure that each is theoretically grounded. The book ensures transparency by providing open-access simulation codes, allowing readers to easily access and reproduce presented results.

Machine Learning in the Analysis of Solid Deformation, Fatigue and Fracture

1st Edition
January 1, 2026
Guozheng Kang + 4 more
English
Paperback
9 7 8 0 4 4 3 4 4 6 1 5 3
eBook
9 7 8 0 4 4 3 4 4 6 1 6 0

Machine Learning for Solid Mechanics fills a clear gap in literature by applying machine learning to deformation, fatigue, and fracture analysis in solid mechanics. The book’s focus on complex mechanisms and coupling phenomena, discussed with practical examples, makes it a valuable resource for advanced researchers. Practical examples and case studies enable readers to understand both the underlying engineering problems and the application of machine learning methods to enhance fatigue life prediction analysis for solid materials and structures.

Resilient Integrated Space Information Network

1st Edition
January 1, 2026
Jianjun Zhang + 4 more
English
Paperback
9 7 8 0 4 4 3 4 5 1 3 2 4
eBook
9 7 8 0 4 4 3 4 5 1 3 3 1

Resilient Integrated Space Information Network: A Space-based Network for Communication Transmission, Spatiotemporal Measurement and Cross-Domain provides readers with expert proposals for top-level architecture design ideas and key technologies for future large-scale, complex space network systems. The book clarifies technical issues and challenges encountered in the development and deployment of large-scale spatial network systems. Presents readers with a detailed analysis of the current status and trends in the field. Basic theory and advanced technology of the deployment and application of communication satellite constellations are described in detail, providing readers with an important reference for theoretical research and engineering practice. The book provides readers technical support for the future construction and implementation of global satellite information networks, greatly enhancing the technological strength of innovation and beyond development in the space field

Foundations of Mathematical Modeling and Analysis in Engineering

1st Edition
December 11, 2025
A. Ted Watson
English
Paperback
9 7 8 0 4 4 3 2 9 5 9 2 8
eBook
9 7 8 0 4 4 3 2 9 5 9 3 5

Foundations of Mathematical Modeling and Analysis for Engineering is designed for first-year graduate and advanced undergraduate engineering students. The book explores linear system theory and demonstrates its application in developing analytical solutions to various equations, essential for describing physical systems through mathematical modeling. This foundation is crucial for learning and research in engineering and various scientific fields. It equips students with the mathematical tools needed to solve entire classes of linear algebraic, ordinary-, and partial-differential equations, while also teaching principles for formulating, organizing, and solving linear subsystems, all of which are vital components of both linear and nonlinear mathematical models. This knowledge prepares students for advanced studies in engineering, applied mathematics, and foundational sciences.

Spaceflight Mechanics and Control

1st Edition
December 1, 2025
Houman Hakima + 1 more
English
eBook
9 7 8 0 3 2 3 9 5 5 4 2 3

Spaceflight Mechanics and Control introduces readers to both the classical theories and cutting edge techniques used to simulate orbital and attitude motion. The theories discussed are connected to real world applications such as space debris removal, asteroid deflection and redirection, spacecraft solar sailing, and control of spacecraft manipulator systems. The book covers orbital trajectory specification and design, orbital maneuvers including both impulsive and low thrust approaches, and spacecraft formation flying. Also included is access to a companion website hosting Python scripts, STK simulations, and more.

Integrated Systems Analysis of Ecosystems

1st Edition
December 1, 2025
Gang Wang
English
Paperback
9 7 8 0 3 2 3 9 5 5 9 2 8
eBook
9 7 8 0 3 2 3 9 5 5 9 3 5

Integrated Systems Analysis of Ecosystems: The Land, Water, Food, and Climate Nexus focuses on the interface between soil sciences, hydrology, economy, ecology, agronomy, and environmental sciences. The book cuts across disciplinary boundaries and addresses broad issues impacting soil, water, food, and energy security, as well as the operation of agricultural and ecological processes. It will summarize important advances in cutting-edge models in ecology and agro-ecology, including biophysical process-oriented models and land use integrated models, along with their implications at various spatiotemporal scales.

Polyoxometalate-Based Materials and Applications

1st Edition
December 1, 2025
Nilesh R. Chodankar + 2 more
English
Paperback
9 7 8 0 4 4 3 1 5 6 8 6 1
eBook
9 7 8 0 4 4 3 1 5 6 8 7 8

Polyoxometalate-Base... Materials and Applications focuses on recent progress in polyoxometalate-base... materials for various electrochemical and biomedical applications. First, the structure, composition, classification, and properties of POMs-based materials are introduced. Then, their design for energy applications such as supercapacitors, batteries, hydrogen production are discussed. Finally, their use in biomedical (antibacterial, antiviral, cancer prevention/treatment... and sensing applications are reviewed. This book will be a great resource for materials scientists, engineers, chemists, and chemical engineers.

Materials Informatics

1st Edition
December 1, 2025
Krishna Rajan
English
Paperback
9 7 8 0 4 4 3 2 2 2 5 6 6
eBook
9 7 8 0 4 4 3 2 2 2 5 5 9

Materials Informatics: Molecules, Crystals and Beyond discusses the role of information science in aiding the discovery and interpretation of multiscale relationships that are critical for materials discovery, design, and optimization. The book covers key challenges in applying information science methods to materials science, including the multidimensional nature of structure-property relationships, data sparsity, and the nature and sources of uncertainty, along with a brief overview of the algorithmic tools used for unsupervised and supervised learning.Building on these topics, chapters then cover the development of physics/chemistry informed data representations of structure and properties, the application of machine learning for structure and property prediction and screening for targeted properties, and the utilization of techniques such a graphics recognition, natural language processing, and statistically driven visualization tools in deciphering processing-structure... relationships in materials.

Innovations In Advanced Materials and Manufacturing

1st Edition
December 1, 2025
Mohammad Nasr Esfahani + 1 more
English
Paperback
9 7 8 0 4 4 3 2 8 8 2 0 3
eBook
9 7 8 0 4 4 3 2 8 8 2 1 0

Innovations In Advanced Materials and Manufacturing provides insights into the mechanics, characteristics, behavior, application, and manufacturing of advanced materials such as nanowires, 2D materials, biomaterials, smart materials, and more. The book discusses the materials themselves, with chapters dedicated to the mechanics and electronic and magnetic properties of nanomaterials, photonic, and phononic materials and devices, 2D magnetic materials, smart materials and coatings, metamaterials, and microdevices and sensors. Other sections cover manufacturing technologies and methods of previously discussed materials, outlining manufacturing techniques for additive manufacturing of metallic lattice structures, biomedical alloys, shape memory alloys, multifunctional polymer composites, nanocomposite structures, ceramics, and batteries.

Artificial Intelligence for Computational Fluid Dynamics

1st Edition
December 1, 2025
Kamarul Arifin Ahmad + 2 more
English
Paperback
9 7 8 0 4 4 3 2 9 1 1 8 0
eBook
9 7 8 0 4 4 3 2 9 1 1 9 7

Artificial Intelligence for Computational Fluid Dynamics offers a groundbreaking exploration of how high-performance computing and artificial intelligence (AI) revolutionize computational fluid dynamics (CFD). Designed for students and researchers alike, this book consolidates information on machine learning, deep learning, and neural networking, demonstrating their transformative potential in CFD. With an emphasis on both the current state of the field and future possibilities, the text serves as a vital resource for anyone looking to understand and leverage AI in fluid dynamics. This work not only educates but also inspires innovation within a rapidly evolving scientific landscape.The book delves into future research directions, aligning with the newly amended CFD vision for 2030, and underscores the importance of continued development. It introduces scientific tools and software integral to AI-driven CFD applications, ensuring that readers gain practical knowledge alongside theoretical insights. Authored by renowned experts with extensive teaching and research experience, this work stands at the intersection of cutting-edge technology and academic rigor, making it an indispensable reference for anyone in the field.

Related subjects

Aerospace sciences

Automotive engineering

Civil and structural engineering

Electrical and electronic engineering

General engineering

Industrial engineering

Marine engineering

Materials engineering

Mechanical engineering

Mechanics

Media technology

Numerical methods in engineering

Systems and control

Life Sciences

Physical Sciences & Engineering

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