@article{b0582870e0944056ac35910b35985699,
title = "Output-feedback adaptive optimal control of interconnected systems based on robust adaptive dynamic programming",
abstract = "This paper studies the adaptive and optimal output-feedback problem for continuous-time uncertain systems with nonlinear dynamic uncertainties. Data-driven output-feedback control policies are developed by approximate/adaptive dynamic programming (ADP) based on both policy iteration and value iteration methods. The obtained adaptive and optimal output-feedback controllers differ from the existing literature on the ADP in that they are derived from sampled-data systems theory and are guaranteed to be robust to dynamic uncertainties. A small-gain condition is given under which the overall system is globally asymptotically stable at the origin. An application to power systems is given to test the effectiveness of the proposed approaches.",
keywords = "Approximate/adaptive dynamic programming (ADP), Nonlinear dynamic uncertainty, Output-feedback control, Robust optimal control",
author = "Weinan Gao and Yu Jiang and Jiang, {Zhong Ping} and Tianyou Chai",
note = "Funding Information: The authors thank Prof. A. Astolfi and Tao Bian for fruitful discussions. Weinan Gao was born in Shenyang, China. He received his B.Sc. and M.Sc. degrees from the Northeastern University, Shenyang, China, in 2011 and 2013, respectively. He is currently a Ph.D. candidate in the Control and Networks Lab, Tandon School of Engineering, New York University. His research interests include reinforcement learning, adaptive dynamic programming (ADP), optimal control, cooperative adaptive cruise control (CACC), connected vehicles, sampled-data control systems, and output regulation theory. Yu Jiang received the B.Sc. degree in Applied Mathematics from Sun Yat-sen University, Guangzhou, China, in 2006, the M.Sc. degree in Automation Science and Engineering from South China University of Technology, Guangzhou, China, in 2009, and the Ph.D. degree in Electrical Engineering from New York University, in 2014. In summer 2013, he worked as a research intern at Mitsubishi Electrical Research Laboratories, Cambridge, MA. He is currently a Software Engineer with the Control Systems Toolbox Team at The Mathworks, Inc., Natick, MA. His research interests include adaptive dynamic programming and other numerical methods in control and optimization. He received the Shimemura Young Author Prize (with Prof. Z.P. Jiang) at the 9th Asian Control Conference in Istanbul, Turkey, 2013. He is also the recipient of the Alexander Hessel Award for the Best Ph.D. Dissertation in Electrical Engineering at NYU in the 2014–2015 academic year. Zhong-Ping Jiang received the B.Sc. degree in mathematics from the University of Wuhan, Wuhan, China, in 1988, the M.Sc. degree in statistics from the University of Paris XI, Paris, France, in 1989, and the Ph.D. degree in automatic control and mathematics from the Ecole des Mines de Paris, Paris, France, in 1993. He is currently a Professor of electrical and computer engineering with the Tandon School of Engineering, New York University. He has written two books: Stability and Stabilization of Nonlinear Systems (with Dr. I. Karafyllis, Springer, 2011) and Nonlinear Control of Dynamic Networks (with Drs. T. Liu and D. Hill, Taylor & Francis, 2014), and is the author of over 180 journal papers. His main research interests include stability theory, robust/adaptive/distributed nonlinear control, adaptive dynamic programming, and their applications to information, mechanical, and biological systems. Prof. Jiang is a Fellow of IEEE and a Fellow of IFAC. Tianyou Chai received the Ph.D. degree in control theory and engineering in 1985 from Northeastern University, Shenyang, China, where he became a Professor in 1988. He is the founder and Director of the Center of Automation, which became a National Engineering and Technology Research Center and a State Key Laboratory. He is a member of Chinese Academy of Engineering, IFAC Fellow and IEEE Fellow, director of Department of Information Science of National Natural Science Foundation of China. His current research interests include modeling, control, optimization and integrated automation of complex industrial processes. He has published 170 peer reviewed international journal papers. His paper titled Hybrid intelligent control for optimal operation of shaft furnace roasting process was selected as the best paper for the Control Engineering Practice Paper Prize for 2011–2013. He has developed control technologies with applications to various industrial processes. For his contributions, he has won 4 prestigious awards of National Science and Technology Progress and National Technological Innovation, the 2007 Industry Award for Excellence in Transitional Control Research from IEEE Multiple-conference on Systems and Control. Publisher Copyright: {\textcopyright} 2016 Elsevier Ltd",
year = "2016",
month = oct,
day = "1",
doi = "10.1016/j.automatica.2016.05.008",
language = "English (US)",
volume = "72",
pages = "37--45",
journal = "Automatica",
issn = "0005-1098",
publisher = "Elsevier Limited",
}