
Encyclopedia of Systems and Control Engineering
Elsevier (Publisher)
Published on 4. November 2025
Book
2756 pages
978-0-443-14081-5 (ISBN)
Description
Encyclopedia 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.
More details
Language
English
Place of publication
Philadelphia
United States
Target group
Professional and scholarly
College/higher education
Dimensions
Height: 276 mm
Width: 216 mm
Weight
450 gr
ISBN-13
978-0-443-14081-5 (9780443140815)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions

E-Book
10/2025
Elsevier
€3,060.00
Available for download
Person
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.
Content
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