Haibo He - University of Rhode Island.
This thesis studies fundamental machine learning algorithms in supervised and unsupervised manners and examines new computing architecture for the development of next generation CPS. Two important applications of CPS, including smart pipeline and smart grid, are also studied in this thesis.
This dissertation investigates the on-line ADP techniques for the feedback control systems and provides novel methods to solve several existing problems in this field. Specifically, the improvement and the original contribution of this dissertation can be summarized from algorithms, architectures, and applications, respectively.
A DISSERTATION SUBMITTED IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF. Major Professor Dr. Victor Fay-Wolfe Dr. Timothy Henry Dr. Haibo He Nasser H. Zawia DEAN OF THE GRADUATE SCHOOL UNIVERSITY OF RHODE ISLAND 2012. ABSTRACT During the process of investigating a computing device, law enforcement officers. entire graduate.
Haibo He's research while affiliated with University of Rhode Island and other places. Overview. Publications (345) Continuous-Time Distributed Policy Iteration for Multicontroller Nonlinear Systems.
The design of robust controllers for continuous-time (CT) non-linear systems with completely unknown non-linearities is a challenging task. The inability to accurately identify the non-linearities online or offline motivates the design of robust controllers using adaptive dynamic programming (ADP). In this study, an ADP-based robust neural control scheme is developed for a class of unknown CT.
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Haibo Wang, Lang He, Jian Yang, Chengzhi Xu, Sheng Li, Benmei Wei, Juntao Zhang and Yuling Xu. diagrams etc. contained in this article in third party publications or in a thesis or dissertation provided that the correct acknowledgement is given with the reproduced material.
I am an Assistant Professor at the Concordia Institute for Information Systems Engineering (CIISE), Concordia University, Montreal, Canada. My research is interested in the smartness, security, and resilience of smart grids, smart cities, and other critical infrastructures in the wake of Internet-of-Things and Artificial Intelligence.
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Advisor 2: Haibo He. No students known. If you have additional information or corrections regarding this mathematician, please use the update form. To submit students of this mathematician, please use the new data form, noting this mathematician's MGP ID of 134106 for the advisor ID.
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Haibo He and Edwardo A. Garcia. 2009. Learning from Imbalanced Data. IEEE Transactions on Knowledge and Data Engineering 21, 9 (Sept 2009), 1263--1284. Google Scholar Digital Library; Yoonhyuk Jung, Seongcheol Kim, and Boreum Choi. 2016. Consumer Valuation of the Wearables: The Case of Smartwatches. Computers in Human Behavior 63 (2016), 899.
He H. (2015) The Design and Implementation of an Acquisition Scheme for Weak GNSS Signal. In: Sun J., Liu J., Fan S., Lu X. (eds) China Satellite Navigation Conference (CSNC) 2015 Proceedings: Volume I. Lecture Notes in Electrical Engineering, vol 340.