标    题：Data Driven Methods for Predictive Control and Monitoring

主讲人：Prof. Biao Huang

时    间：5月21日 下午3点30分

地    点：广知C楼511会议室

 

报告摘要：Dynamic modeling, control and monitoring are three central themes in systems and control. Under traditional design frameworks, dynamic models are the prerequisite of control and monitoring. However, models are only vehicles towards achieving these design objectives. Once the design of a controller or a monitor is completed, the model often ceases to exist. The use of models serves well for the design purpose as most traditional designs are model based; it also introduces unavoidable modeling error and complexity in building the model. If a model is identified from data, it is obvious that information contained in the model is no more than that within the original data. Can a controller or monitor be designed directly from input-output data bypassing the modeling step? This question has spurred a significant interest from academic researchers as well as industrial practitioners. The other motivating factor for the development of the data-driven approach is the explosive growth in the amount of industrial data that is available for analysis. The question is how to extract useful information from these data and then put them to good use. This presentation will introduce theory and methods for data-driven predictive control design and control performance monitoring.

 

黄彪教授简历：Biao Huang is a Professor with the University of Alberta. He is an elected Fellow of Chemical Institute of Canada and recipient of awards including Germany's Alexander von Humboldt Research Fellowship, Canadian Chemical Engineer Society's Syncrude Canada Innovation Award, University of Alberta's McClla and Killam Professorships, Petro-Canada Young Innovation Award, Journal of Process Control best paper award. In 2009 he received a Chang-Jiang Scholar award. The general area of Dr. Huang’s research is in system identification, Bayesian Statistics, data-driven methods, model predictive control, and control performance monitoring. He has published three books, including one in control monitoring and one in data-driven methods, and 130 journal papers. He is currently Associate Editor of Control Engineering Practice and Canadian Journal of Chemical Engineering respectively, Vice Chair of Organizing Committee for 2009 American Control Conference, and Chair of International Program Committee for 2011 International Symposium on Advanced Control of Industrial Processes to be held in Hangzhou .