Synopses & Reviews
This second edition contains two completely new chapters, corresponding to around 30% more content, so as to keep pace with advances in Internet and wireless communication technologies.
It remains the must-have work covering the latest results on controlling the uncertainties of complex systems, as well as the theory behind real-world systems applicable to autonomous vehicles as well as biological and bio-mimic systems.
Extensive appendixes coupled with problems and examples make this monograph equally useable as supplementary course reading or for self study.
About the Author
Zhihua Qu received his Ph.D. degree in Electrical Engineering from Georgia Institute of Technology in 1990. Afterwards, he joined the Department of Electrical Engineering at the University of Central Florida (UCF). From 1995 to 1997, he served as the assistant chair of the department. From 1999 to 2004, he was the Director/Chair of the EE department at UCF.
Dr. Qu's research interests include system theory, advanced controls, and their applications to autonomous vehicles and intelligent systems. He has received a number of awards and published a number of the papers in his areas of expertise. Currently, he is an Associate Editor for Automatica and for International Journal of Robotics and Automation.
Table of Contents
2 Lyapunov Stability Theory
3 Lyapunov Design Procedures
4 Lyapunov-Related Designs
5 Nonlinear I/O Robust Control
6 Lyapunov Analysis of Networked Systems
7 Cooperative Control designs
Appendix A Mathematical Background
Appendix B Recursive-Interlacing Design Examples
Appendix C Singular Perturbed Systems
Appendix D Model Reference Control
Appendix E Positive Realness