Abstract:

Stochastic distribution control systems aims at the controller design so as to realize a shape control of the distributions of certain random variables in the process. Once the probability density functions (PDFs) of these variables are used to describe their distributions, the control task is to obtain control signals so that the output PFDs of the system are made to follow their target PDFs. This is a new research area which has shown to have potential applications in fault diagnosis, filtering and general modelling issues. In this presentation, a number of aspects on stochastic distribution control and its applications will be described

Biography：

Professor Hong Wang received the BSc, MEng and PhD degrees from Huainan University of Mining Engineering (AHUST) and Huazhong University of Science and Technology (HUST) in P. R. China 1982, 1984 and 1987,respectively. He then worked as a postdoc at Salford, Brunel and Southampton Universities between 1988 and 1992. He joined UMIST in 1992 and has been the Professor in Process Control since April, 2002. Between 2004 and 2007 he was the director of the Control Systems Centre of the University of Manchester, Manchester, UK. Professor Wang originated the work on stochastic distribution control, where the main purpose of control input design is to make the shape of the output probability density functions to follow a targeted function.

   He is the leading author of three books and has published over 200 papers in international journals and conferences (http://www.eee.manchester.ac.uk). Professor Wang is a Fellow of IET and InstMC, he is the editorial board member for nine international journals and member of three (International Federation on Automatic Control) IFAC Technical Cttees. Professor Wang is also a member of the executive Cttee of UKACC has been a Changjiang visiting professor with Northeastern University (China) and visiting professors with of Institute of Automation Chinese Academy of Sciences, and BUAA.