Dongbin Lee

Oregon Institute of TechnologyUnited States of America

Dr. Dongbin (Don) Lee is an assistant professor since 2013 at Oregon Institute of Technology (OIT, also called Oregon Tech), OR, USA where he is in charge of Robotics and Automation Lab since he joined OIT and serving as the advisor of OTUS Robotics submarine team and AUVSI (Asso. of Unmanned Vehicle Systems Intl) club since he founded it with student members in Aug. 2015 after served as the advisor of OTRC (Oregon Tecj robotics club, no longer existing) during 2013-2015. He has serving university-wide services in many areas such as GEAC, GE, FPC (facilities planning commission), drone advisory committee, and Catalyze/InventOR committee member, student symposium organizer including Sr. Capstone projects, ABET preparation in teaching courses, outreach programs, etc. Dr. Lee was a post-doctoral research associate in ME Dept and Center for Nonlinear Dynamics and Control where he had accomplished a couple of ONR (Office of Naval Research) projects for building prototype of unmanned vehicle demonstrators, autonomous systems research and education, autonomous systems research, and also accomplished nonlinear controls of electromechanical valve-actuator projects, sponsored by NSWC while helping a few Ph.D. students at Villanova University, PA during 2009-2012 and also worked for Center for Advanced Communications for image processing and target identification algorithms of Through-the-Wall Radar Imaging (TWRI) in 2012. Another heavy duty during his stay at VU was mentoring annual student autonomous robotics competition projects (RoboBoat) and eventually helped 2012 team award the silver medal at 2012 RoboBoat competition, sponsored by ONR and AUVSI. He served as an officer for webmaster and coordinator of AUVSI Keystone Chapter, and a section officer in its 2013 symposium, PA. He received a PhD degree in Robotics and Intelligent programs at Clemson University in 2009, focusing on robotics, mechatronics, and unmanned vehicle systems, and M.S. Robotics degree (formerly, Control and Instrumentation Eng) in 2000 (also took Ph.D. coursework for two semesters) in the areas of computational and artificial intelligence, and system dynamics and B.S. in ECE in 1992, concentrating on mechatronics and automation at Kwangwoon University, Seoul, South Korea. He spent several years in industry, for example, robotics and automation team in R&D at SsangYong Company during 1991-1997. Dr. Lee serves as editorial board of Intl Journal of Advanced Robotic Systems in INTECH and as a review editor of the journals both “Robotic Control Systems” in Robotics and AI and “Mechatronics” of Mechanical Engineering for Frontiers Journals. He is the editor of a book \"Nonlinear Systems: Design, Analysis, Estimation, and Control\" published by INTECH in 2017 and and served as a review panel for new books such as Nonlinear Control of Robots and UAVs: an integrated approach in CRC Press of Taylor and Francis group. In scholarly activities, he served in a couple of decent peer-reviewed conferences; the chair of Nonlinear Systems I section in CDSR (Control, Dynamic Systems, and Robotics) 2017 conference, Toronto, CA, Adaptive section in 2011 ACC (American Control Conference, San Francisco), Robust & Adaptive Control Applications in 2011 DSCC (Dynamic Systems Control Conf., Washington DC) of ASME, and acting-chair of nonlinear systems in 2010 DSCC ASME (Boston, MA). He has published over 35 peer-reviewed journals/book chapters/conference papers, more than 20 technical reports, and refereed more than 45 jnrl & conf. papers. His teaching and research are mainly on three areas; robotics, (nonlinear) control systems such as robotic systems including mobile robots, UAS, Robotic boats or submarines, but not limited to smart manufacturing/ automated processing systems and industrial robots such as FANUC Robots (CERT qualified for 1. Material Handling. 2. Robot iR-Vision Systems) and KUKA robot, smart manufacturing, and Cleantech (Precision Agriculture, Wind Turbine, Solar cells) and artificial, deep and machine learning, The control approaches he has taught or the scholarly activities he published are classical control systems, modern (state-space) control systems, and nonlinear controls based on Lyapunov-based control with stability analysis, adaptive, robust, optimal, state-/output feedback, backstepping, state machine, supervised/non-supervised/reinforcement learning, and artificial intelligence (AI)/computational intelligence (soft computing) such as neural network, fuzzy system, and genetic algorithms, and statistical approach. ------------------------------------------------------------------------- A Publication in 2009 (Robotics » Mobile Robotics ») -------------------------------------- Aerial Vehicles, book edited by Thanh Mung Lam, ISBN 978-953-7619-41-1, InTechOpen Published: January 1, 2009 Chapter 8 Fly-the-Camera Perspective: Control of a Remotely Operated Quadrotor UAV and Camera Unit The Author(s) By DongBin Lee; Timothy C. Burg; Darren M. Dawson and Guenther Dorn {DOI: 10.5772/6471} online: http://www.intechopen.com/books/aerial_vehicles/fly-the-camera_perspective__control_of_a_remotely_operated_quadrotor_uav_and_camera_unit

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Latest work with IntechOpen by Dongbin Lee

The book consists mainly of two parts: Chapter 1 - Chapter 7 and Chapter 8 - Chapter 14. Chapter 1 and Chapter 2 treat design techniques based on linearization of nonlinear systems. An analysis of nonlinear system over quantum mechanics is discussed in Chapter 3. Chapter 4 to Chapter 7 are estimation methods using Kalman filtering while solving nonlinear control systems using iterative approach. Optimal approaches are discussed in Chapter 8 with retarded control of nonlinear system in singular situation, and Chapter 9 extends optimal theory to H-infinity control for a nonlinear control system.Chapters 10 and 11 present the control of nonlinear dynamic systems, twin-rotor helicopter and 3D crane system, which are both underactuated, cascaded dynamic systems. Chapter 12 applies controls to antisynchronization/synchronization in the chaotic models based on Lyapunov exponent theorem, and Chapter 13 discusses developed stability analytic approaches in terms of Lyapunov stability. The analysis of economic activities, especially the relationship between stock return and economic growth, is presented in Chapter 14.

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