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Reformulation-Based Approaches to Query Optimization

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Skewed functional processes and their applications

Optimal State Feedback Stabilization Gain Selection of Networked Control Systems with Time Delay and Packet Losses

Data networking technologies have been widely applied in the control of various applications such as manufacturing plants, automobiles, and aircrafts. Network control systems (NCS) connecting/integrating components such as distributed sensors, distributed controllers, and distributed actuators, via networks to effectively reduce the complexity of the systems with nominal economical investments, usher in an amazing era of prosperity, innovation, and collaboration, by providing optimized system performance with low cost through distributed information utilizations, and enable real-time monitoring, control and operation globally. 

This presentation will focus on the state feedback stabilization problem for a class of networked control systems (NCSs) with time delays and packet losses. The memoryless state feedback controller is considered, and the resulting closed-loop NCS is modeled as a discrete-time switched system. By defining a state-dependent Lyapunov function, the stability conditions are derived for NCSs in terms of linear matrix inequalities (LMI). Based on the obtained stability conditions, the corresponding controller design is completed in two stages. The first stage is an iterative procedure to generate control gains that guarantee the NCSs are asymptotically stable, then the second stage uses the EDA optimization algorithm to select the stable gain that optimize the control performance. Simulation and experimental results will also be presented to demonstrate the effectiveness of the proposed methodology.

Speaker:

Mo-Yuen Chow earned his degree in Electrical and Computer Engineering from the University of Wisconsin-Madison (B.S., 1982); and Cornell University (M. Eng., 1983; Ph.D., 1987). Dr. Chow joined the Department of Electrical and Computer Engineering at North Carolina State University as an Assistant Professor in 1997, became an Associate Professor in 1993, and a Professor since 1999. He worked in U.S. Army, TACOM TARDEC Division as a Senior Research Scientist during the summer of 2003. He spent his sabbatical leave as a Visiting Scientist in 1995 in ABB Automated Distribution Division. Dr. Chow has also worked as a consultant for Duke Power Company, OTIS Elevator Co., Taiwan Power Company, J.W. Harley Company.

Dr. Chow’s research focuses on fault diagnosis and prognosis, distributed control, and computational intelligence. He has been applying his research to areas including mechatronics, power distribution systems, distributed generation, motors and robotics. He has established the Advanced Diagnosis, Automation and Control Laboratory at NC State University. He has published one book, seven book chapters, and over one hundred journal and conference articles. Dr. Chow is an IEEE Fellow, an Associate Editor of the IEEE Transactions on Industrial Electronics, IEEE Transactions on Industrial Informatics, IEEE Transactions on Mechatronics. He was the Vice President for Publication of IEEE Industrial Electronics Society in 2006-2007, and the Vice President for Membership of IEEE Industrial Electronics Society in 2000-2001. He was the General Chair of IEEE-IECON05, and the General Co-Chair of IEEE-IECON10. Dr. Chow served as a guest editor for the IEEE Transactions on Mechatronics Focus Section on Mechatronics in Multi Robot Systems (2009), IEEE Transactions on Industrial Electronics special sections on Distributed Network-Based Control Systems and Applications (2003), on Motor Fault Detection and Diagnosis (2000), and on Application of Intelligent Systems to Industrial Electronics (1993).He was a Senior Fellow of Japan Society for the Promotion of Science in 2003. He has received the IEEE Eastern North Carolina Section Outstanding Engineering Educator Award in 2004, and the IEEE Region-3 Joseph M. Biedenbach Outstanding Engineering Educator Award in 2005.