Encyclopedia of Systems and Control Engineering
- 1st Edition - September 15, 2025
- Imprint: Elsevier
- Editor: Zhengtao Ding
- Language: English
- Hardback ISBN:9 7 8 - 0 - 4 4 3 - 1 4 0 8 1 - 5
- eBook ISBN:9 7 8 - 0 - 4 4 3 - 1 4 0 8 0 - 8
Encyclopedia of Systems and Control Engineering, 4-volume set, offers a comprehensive overview of fundamental and contemporary topics in control systems. Spanning four volumes,… Read more
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Request a sales quoteEncyclopedia of Systems and Control Engineering, 4-volume set, offers a comprehensive overview of fundamental and contemporary topics in control systems. Spanning four volumes, it covers linear and nonlinear systems, and integrates experimental and analytical methodologies. This encyclopedia emphasizes cutting-edge developments, such as data-driven control and machine learning methods, which are crucial in modern industry. Control systems play a pivotal role in various engineering sectors, from Boeing aircraft to Boston Dynamics robots, and are essential for their functionality. This work is designed to be accessible to non-experts while providing authoritative, up-to-date information not readily found elsewhere, making it a valuable resource for researchers and practitioners.
- Provides a comprehensive, up-to-date, and authoritative review of this diverse field, which is not readily available elsewhere, not even in journals
- Presents an authoritative resource authored and edited by leading experts in the field
- Written by academics and practitioners from various fields and regions, thus ensuring that the book's content is easily understood by, and applicable to, a large audience
- Serves as an excellent entry point for students and researchers new to the field
Researchers, university teachers and advanced students of electrical engineering, computer engineering, control systems and related fields.Professional engineers working in robotics, automation, power engineering
1. System and Control Theory
2. Nonlinear and Adaptive Control
3. Robust Control, Estimation and Filtering
4. Optimization and Machine Learning in Control and Dynamic Systems
5. Data-driven (AI) and Network-based Control Systems
6. Control Applications
2. Nonlinear and Adaptive Control
3. Robust Control, Estimation and Filtering
4. Optimization and Machine Learning in Control and Dynamic Systems
5. Data-driven (AI) and Network-based Control Systems
6. Control Applications
- Edition: 1
- Published: September 15, 2025
- Imprint: Elsevier
- No. of pages: 2800
- Language: English
- Hardback ISBN: 9780443140815
- eBook ISBN: 9780443140808
ZD
Zhengtao Ding
Zhengtao Ding received B.Eng. degree from Tsinghua University, Beijing, China, and M.Sc. degree in systems and control, and the Ph.D. degree in control systems from the University of Manchester Institute of Science and Technology, Manchester, U.K. After working in Singapore for ten years, he joined the University of Manchester in 2003, where he is currently Professor of Control Systems and the Head of Control, Robotics and Communication Division. He is the author of the book: Nonlinear and Adaptive Control Systems (IET, 2013), a co-author of other two books, and has published over 300 research articles in control theory and applications. His research interests include nonlinear and adaptive control theory and their applications, more recently network-based control, distributed optimization and distributed learning, with applications to power systems and robotics. Prof. Ding has served as the Subject Chef Editor of Nonlinear Control for Frontiers, and Associate Editor for Scientific Reports, IEEE Transactions on Automatic Control, IEEE Transactions on Circuit and Systems II, IEEE Control Systems Letters, Journal of Franklin Institute, Transactions of the Institute of Measurement and Control, Control Theory and Technology, Unmanned Systems and several other journals. He is a member of IEEE Technical Committee on Nonlinear Systems and Control, IEEE Technical Committee on Intelligent Control, and IFAC Technical Committee on Adaptive and Learning Systems.
Affiliations and expertise
University of Manchester, Manchester, U.K