Abstract

     In recent years, the application of communication networks in the modern industry automation is becoming more and more ubiquitous, due to their distinct advantages such as long-distance data exchange, low installation and maintenance cost, high flexibility and reliability, as well as increasing mobility. However, most of the available results on networked control systems (NCSs) are focused on linear systems. Furthermore, their effectiveness is critically dependent on the accuracy of the system model. Thus the above two facts severely hinder their further applications in practical engineering.
     In practice, control of networked systems is a very complex and challenging task. This is not only because there exist communication constraints such as random network-induced delay, packet disorder and packet dropout in NCSs, but also system complexities such as nonlinearity, uncertainty and time-varying dynamics commonly exist in modern industrial processes. Fortunately, it becomes very easy to obtain large amounts of input and output data of controlled plants nowadays. Thus, a data-driven control approach is a natural choice when precise plant models are unavailable. In this talk, two data-driven networked control schemes will be introduced including their design methods and experimental examples. In addition, several networked control implementation techniques and a networked control system laboratory will also be reported.

Biography

     Zhonghua Pang received the B.Eng. degree in automation and the M.Eng. degree in control theory and control engineering from Qingdao University of Science and Technology, China, in 2002 and 2005, respectively, and the Ph.D. degree in control theory and control engineering from the Institute of Automation, Chinese Academy of Sciences, China, in 2011. He was a Postdoctoral Fellow with the Department of Automation, Tsinghua University, China, from 2011 to 2014. Currently he is an Associate Professor with the School of Electrical and Control Engineering, North China University of Technology, China, and a visiting research fellow in University of South Wales, UK. His research interests include networked control systems, security of cyber-physical systems, and advanced control of industrial systems.