Home /Research /Dynamic neural network-based robust control methods for uncertain nonlinear systems
LEARNING

Dynamic neural network-based robust control methods for uncertain nonlinear systems

Huyen T. Dinh

Year
2012
Citations
3

Abstract

To my beautiful daughter Anh Tran, my loving husband Thong Tran, and my dear parents Hop Pham and Tung Dinh, for their unwavering support and constant encouragement 3 ACKNOWLEDGMENTS I would like to express my deepest gratitude to my advisor, Dr. Warren E. Dixon, for his excellent guidance, caring, patience and support in the four years of my doctoral study. As an advisor, he exposed me to the vast and exciting research area of nonlinear control and motivated me to work on Dynamic Neural Network-based control applications. He encouraged me to explore my own ideas and helped me grow as an independent researcher. I highly appreciate all his caring and support as an understanding boss during my maternity time. I would like to extend my gratitude to my committee members, Dr. Prabir Barooah, Dr. Joshep Wilson, and Dr. Mrinal Kumar, for insightful comments and many valuable suggestions to improve the presentation and contents of this dissertation. I would also like to thank all my coworkers at the Nonlinear Controls and Robotics Lab for their various forms of support during my graduate study. Their warm friendship has enriched my

Keywords

Artificial neural networkNonlinear systemComputer scienceControl theory (sociology)Control (management)Artificial intelligence

Related papers

Browse all LEARNING papers