Batch Processes – Monitoring and Process Understanding – Latent Structure Based Methods

Written by three of the leading experts in the field, this ready reference and handbook is the first to be devoted to illustrating the application of latent structures-based methods to batch processes. Clearly structured into four sections, the first acts an introduction to the literature, while the second goes on to treat the general features of batch process data and analysis with LSB methods. The development of a multivariate statistical process control system based on LSB methods for a batch process is addressed in the third section, and the whole is rounded off with a look at other applications of LSB in batch processes. With its exercises, case studies and free software downloadable from the Internet, this is of great interest to beginners and specialists alike.

Jose Camacho-Paez is a scientist at the research Group of Complex Systems in the Institute of Control Systems and Industrial Computing of the Technical University of Valencia, in Spain. He holds a degree in Computer Science from the University of Granada (2003) and a Ph.D. in Control Systems and Industrial Computing from the Technical University of Valencia (2007). His Ph.D. was awarded with the second Rosina Ribalta Prize to the best Ph.D. projects from the EPSON Foundation, and with the D.L. Massart Award in Chemometrics from the Belgian Chemometrics Society. He is reviewer of Chemometrics and Intelligent Laboratory Systems, AIChE Journal, Industrial & Engineering Chemistry Research, Chemical Engineering Science and Biosystems Engineering. Jesus Pico received the M.S.Eng. degree in industrial engineering and the Ph.D. degree in control engineering, both from the Technical University of Valencia (UPV), Spain. Currently he is Associate Professor at the Department of Systems Engineering and Control at the UPV. His main research interests are in nonlinear and adaptive control, modeling and control of fedbatch processes, and control methods in systems biology and bioprocesses. He has been involved in several European industry-oriented projects related to batch processes. He is member of the Technical Comitee on Bioprocesses and Biosystems of the International Federation of Automatic Control (IFAC). Alberto Ferrer is Professor of Statistics at the Department of Applied Statistics, Operation Research and Quality, and Head of the Multivariate Statistical Engineering Research Group of the Technical University of Valencia (Spain). He holds a M.S.Eng. in Agricultural Engineering (1987 - First Spanish National Award) and a Ph.D. in Statistics (1992) from the Technical University of Valencia. His research focuses on statistical techniques for quality and productivity improvement. He has been involved in several industry-oriented research projects related to batch and continuous processes. Prof. Ferrer is currently associate editor of Technometrics, member of the editorial board of Quality Engineering, member of the Council of the International Society for Business and Industrial Statistics (ISBIS), and the European Network for Business and Industrial Statistics (ENBIS).