2017 Annual Meeting
Session: Big Data in Process Modeling, Estimation and Control
Contributions are invited on the topic of big data methods for off-line process modeling, on-line process state and parameter estimation and real-time feedback. Applications to industrial processes are encouraged.
Chair
Singh, R., Rutgers, The State University of New Jer
Co-Chair
Realff, M. J., Georgia Institute of Technology