Prof.Xiaoli Luan

Speech Title:

Pattern-based process modelling and optimization

Abstract:

Process variables can only reflect operational behavior in a distributed and partial manner, while the overall status of the process runs according to a latent pattern, which can statistically extract the holistic information contained a set of process variables. To this end, a new framework for pattern-based process modelling and optimization is proposed. Under the geometric projection method, a dynamic-controlled principal component analysis is designed for pattern modelling, of which the state of the art lies in explicitly quantifying the dynamic causality from control inputs and pattern for the first time. To further reveal the process uncertainties, a probabilistic dynamic-controlled pattern modelling method is proposed under the probabilistic generation, where the pattern dynamic is characterized by an auto-regressive with extra inputs structure for Bayesian inference. Specially, the algorithms for expectation maximization, forward filtering and backward smoothing are designed for model learning. After pattern modelling, a dynamic reference programming (DRP)-based model predictive control (MPC) is proposed for optimal pattern tracking. The DRP can overcome the disadvantage of traditional tracking MPC in that parameter settings are closely dependent on setpoints, and effectively enlarge the feasible set of optimization problem.

Bio of lecturer:

Xiaoli Luan received the B.Sc. degree in industrial automation and the M.Sc. and Ph.D. degrees in control theory and control engineering from Jiangnan University, Wuxi, China, in 2002, 2006, and 2010, respectively. She is currently a Professor with the Institute of Automation, Jiangnan University. She was a Visiting Professor with the University of Alberta, Edmonton, AB, Canada, in 2016. She hosted and participated several research programs funded by the National Natural Science Foundation. Her research interests include robust control and optimization of complex industrial process. She has authored or coauthored more than 100 articles in professional journals, conference proceedings, and technical reports in these related areas. Prof. Luan has served as a reviewer for a number of international journals.

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