S20: Advances in Data-Driven Process Monitoring and Control for Complex Industrial Systems

Paper Submission for S20

SMC2018:S20 submission site (external site)

Abstracts

In recent years, driven by the rapid developments in electronics, information and communication technologies, disruptive changes are taking place in industrial environment. Due to the ever-increasing demands on product quality and economic benefit, not only are the intelligent components and devices implemented and networked, but also the real-time supervision and control systems are running in parallel. Consequently, the degree of automation in modern industrial systems is continuously growing. This fact challenges scientists and engineers and forces them to develop advanced process monitoring and control methodologies, using offline stored or online process data to solve optimal process monitoring and control issues. This Special Session is to provide a forum for researchers and industrial engineers to exchange their latest achievements on data-driven process monitoring and control techniques, and to discuss the vital issues, challenges and possible future trends in modern large-scale industrial systems. The papers to be accepted in this Special Session are expected to provide latest advances of data-driven design approaches, especially the novel theoretical achievements with practical applications.

Topics of interest include, but are not limited to:

  • Data-driven process monitoring approaches and applications.
  • Model-free or data-driven control design approaches and applications.
  • Data-driven performance evaluation, diagnosis, decisions and their applications.
  • Data-driven optimization methods and applications.
  • Real-time model-free learning methods and practical applications.

Session Chairs