The book Control of Nonlinear Systems–Stability and Performance fills a crucial gap in the field of nonlinear control systems by providing a comprehensive yet accessible treatment of the subject. Unlike many existing texts that are either too complex for beginners or omit essential topics, this book strikes the right balance of mathematical rigor and practicality.
The main objective of the book is to simplify and unify the existing techniques for designing and analyzing control systems for nonlinear systems. It aims to alleviate confusion and difficulty in understanding these methods, making it an invaluable resource for students, researchers, and practitioners in the field.
By presenting the material in a tutorial manner, the book enhances the reader's understanding of the design and analysis of a wide range of control methods for nonlinear systems. The emphasis on stability and performance highlights the practical relevance of the concepts discussed in the book.
Overall, Control of Nonlinear Systems–Stability and Performance is a valuable contribution to the field of nonlinear control systems. Its emphasis on practical applications and its accessible presentation make it an indispensable resource for engineers seeking to enhance their knowledge and skills in this important area of control theory.
Yongduan Song received the Ph.D. degree in electrical and computer engineering from Tennessee Technological University, Cookeville, TN, USA, in 1992. He held a tenured Full Professor with North Carolina A&T State University, Greensboro, NC, USA, from 1993 to 2008, and a Langley Distinguished Professor with the National Institute of Aerospace, Hampton, VA, USA, from 2005 to 2008. He is currently the Dean of the Institute of Artificial Intelligence, Chongqing University, Chongqing, China. He was one of the six Langley Distinguished Professors with the National Institute of Aerospace (NIA), Hampton, VA, USA, and the Founding Director of Cooperative Systems with NIA. His current research interests include intelligent systems, guidance navigation and control, bio-inspired adaptive, and cooperative systems.
Kai Zhao received the Ph.D. degree in control theory and control engineering from Chongqing University, Chongqing, China, in 2019. He held research positions with Department of Computer and Information Science at the University of Macau, and Department of Electrical and Computer Engineering at the National University of Singapore. Since May 2023 he has been an associate professor at School of Automation, Chongqing University, China.
Hefu Ye received the B.Eng. degree from the School of Information Science and Engineering, Harbin Institute of Technology, Harbin, China, in 2019. He is currently pursuing the Ph.D. degree with the School of Automation, Chongqing University, Chongqing, China. During October 2022 and 2023, he was a joint Ph.D. at the School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore. His research interests include robotic systems, robust adaptive control, prescribed performance control, and prescribed-time control. Mr. Ye is an active Reviewer for many international journals, including the IEEE Transactions on Automatic Control,
IEEE Transactions on Neural Networks and Learning Systems, and IEEE Transactions on Systems, Man, and Cybernetics: Systems.
