The theory of nonlinear control systems has grown and flourished since the 1980s. Numerous texts of varying degrees of difficulty have been published on this topic.

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.

Part 1. Fundamentals of Nonlinear Systems. 1. Introduction. 2. Fundamentals of Lyapunov Theorem. 3. Nonlinear Design Methods and Tools. Part II Control of Nonlinear Systems. 4. Control of First-order Systems. 5. Control of Normal-form Systems. 6. Control of Strict-feedback Systems. 7. Control of MIMO Systems. Part III Performance/Prescribed-time Control. 8. Accelerated Adaptive Control. 9. Control with Exponential Convergence and Prescribed Performance. 10., Finite-time Control. 11. Practical Prescribed-time Control. 12. Prescribed-time Stabilization Control. 13. Prescribed-time Tracking Control.