1. Cyber-Physical Systems: A Model-Based Approach
Authored by the talented trio of Walid M. Taha, Abd-Elhamid M. Taha, and Johan Thunberg, this book offers a profound exploration of cyber-physical systems through a model-based lens. It serves as an essential guide for students and professionals alike, aiming to bridge the gap between theory and practical application. With a publication date of September 1, 2020, this title is as timely as it is informative. The reader will gain insight into designing and analyzing complex systems by understanding abstract models and their real-world implications, making this book a cornerstone in the field of systems engineering.
2. Cyber-Physical Systems: A Computational Perspective
This comprehensive volume edited by Siddesh Gaddadevara Matt and colleagues offers a detailed understanding of computational techniques applied to cyber-physical systems. Published in December 2015, it dives deep into algorithms, frameworks, and models crucial for the development of safe and efficient systems. Its practical examples and extensive coverage make it vital for both researchers and practitioners who are eager to push the envelope of technology driving the Fourth Industrial Revolution. Overall, it’s an invaluable resource that fosters innovation in automation and system design.
3. Machine Learning for Cyber-Physical Systems
This collection, edited by Jurgen Beyerer, Christian Kuehnert, and Oliver Niggemann, brings together selected papers from the International Conference ML4CPS 2018. What sets this book apart is its focus on integrating machine learning with cyber-physical systems, opening a gateway for developments in AI and system control. The synergy proposed here is not only innovative but necessary for driving advancements in machine learning applications. The papers provide cutting-edge research findings that are easy to digest, making it a must-read for anyone interested in the intersection of these technologies.
4. Cyber-Physical Systems: Theory, Methodology, and Applications
Nardelli’s book offers a robust combination of theoretical foundations and practical methodologies relevant to cyber-physical systems. Released in May 2022, it explores the intricate connections between physical processes and computational systems, making it a significant addition to the IEEE Press series. It effectively delves into real-world applications, which allows readers to grasp the profound impact of these systems on society and industry. This book stands out for its clarity and comprehensive insights, cementing it as essential reading for engineers and scientists alike.
5. Introduction to Embedded Systems, Second Edition
This updated edition by Edward Ashford Lee and Sanjit Arunkumar Seshia emphasizes a cyber-physical systems approach to embedded systems. Released in late 2016, it is both comprehensive and accessible for newcomers and experienced engineers alike. Combining concepts with computational principles, this book skillfully addresses the design and analysis of embedded systems, critical in various domains, including automotive and IoT systems. A practical blend of theory and application makes this title a vital resource for developing robust, real-world applications.
6. Cyber-Physical Systems
Written by Danda B. Rawat, this book is pivotal in understanding cyber-physical systems comprehensively. With a publication date in June 2020, it covers fundamental concepts and offers insights into modern technologies affecting this field, such as the Internet of Things. Rawat’s ability to distill complex ideas into practical knowledge is what makes this book approachable. It is ideally suited for professionals keen on exploring current trends and for those who want their appreciation of cyber-physical systems deepened.
7. Verifying Cyber-Physical Systems: A Path to Safe Autonomy
In this publication by Sayan Mitra, the focus lies on the verification methods essential for ensuring the safety and security of cyber-physical systems. Published in July 2021, the book delves into formal verification methods that are now indispensable as we march towards an era of autonomy. Readers will find a robust framework for analyzing system properties that matter, such as reliability and safety, which are critical in sectors like automotive and aerospace. This book provides crucial insights for practitioners and researchers looking to enhance system reliability.
8. Model Checking, Second Edition
This second edition by Edmund M. Clarke Jr. and team offers an in-depth approach to model checking, a pivotal method in verifying system properties. First published in December 2018, this book provides a comprehensive guide that combines theoretical foundations with practical implementation strategies. It ensures that automated systems meet their specification standards and remain defect-free. This title is highly recommended for anyone involved in the development of cyber-physical systems, as it addresses common challenges encountered in verification processes.
9. Logical Foundations of Cyber-Physical Systems
Authored by André Platzer, this book, released in August 2018, intricately details the underlying logical foundations that empower cyber-physical systems. It provides a unique perspective on how logic intersects with system robustness and performance. Platzer presents a balanced view of theoretical and applied aspects, making it an essential resource for both academia and industry. Whether you are a researcher, engineer, or student, this book will enrich your understanding of the logical underpinnings that support modern system design.
