Professor Daniel E. Rivera will present "Teaching System Identification to Chemical Engineers" on Feb 25, 2021 at 11 AM Eastern Time. Dr. Rivera is the 2020 CAST David Himmelblau Award for Innovations in Computer-Based Chemical Engineering Education. We are pleased to hear from him in this awards talk.


Daniel E. Rivera

Teaching System Identification to Chemical Engineers

Feb 25, 2021 at 11 AM Eastern Time

Join Online: (Zoom link)


System identification is a subject that is critically important to control systems engineering, yet it is lightly treated in many introductory control courses (among these process control).  This talk will describe efforts over the past 30 years at Arizona State University to teach system identification concepts to chemical engineering students in a combined undergraduate /graduate semester-long course entitled Principles of System Identification.  The ultimate goal of the course is to teach fundamental principles that will enable students to make judicious choices from the many design variables available in system identification.  In support of this goal, both MATLAB-based tools and a family of stand-alone interactive tools (ITTSAE, ITSIE, ITCRI, ITCLI, and i-pIDtune) have been developed, the latter in collaboration with faculty at UNED (the Spanish National Distance Learning University) and the University of Almerķa in Spain.  The tools provide students with valuable hands-on instruction and insights on estimating dynamical models from data that are ever-more important in an increasingly “machine learning” world.


Daniel E. Rivera is professor of chemical engineering in the School for Engineering of Matter, Transport, and Energy (SEMTE) at Arizona State University in Tempe, Arizona.  Prior to joining ASU in 1990, he was an Associate Research Engineer in the Control Systems Section of Shell Development Company.  He received his Ph.D. in chemical engineering from the California Institute of Technology in 1987, and holds B.S. and M.S. degrees from the University of Rochester and the University of Wisconsin-Madison, respectively.  His research interests include system identification, robust process control, and the application of control engineering principles to supply chain management and behavioral medicine.  In 2007, Dr. Rivera was awarded a K25 Career Development Award from the National Institutes of Health to study control systems approaches for fighting drug abuse.  He received the 2019 Distinguished Member Award from the IEEE Control Systems Society, and is a Fellow of the Society of Behavioral Medicine (SBM).


Best regards,


John Hedengren

Associate Professor

Brigham Young University

Provo, UT 84602