Modeling, Analysis, Monitoring, and Control of Distributed Parameter Systems

This book compiles key findings on the modeling, analysis, estimation, and control design of various tubular reactor configurations. It explores both linear and nonlinear hyperbolic and parabolic partial differential equations, bridging the gap between theory and application in distributed parameter systems. The tubular reactor offers several important advantages when teaching and studying distributed parameter systems: it covers multiple classes of partial differential equations, providing a broad mathematical foundation; it bridges finite- and infinite-dimensional models; it demonstrates diverse behaviors; and it links theoretical concepts to practical applications. Furthermore, the tubular reactor has a broad scope of application in biological, environmental, and chemical systems.

Denis Dochain is an Emeritus Full Professor at UCLouvain, Belgium, and an Honorary Research Director at FNRS (National Fund for Scientific Research), Belgium. He had been a full professor at the INMA (Mathematical Engineering) pole of the ICTEAM Institute, UCLouvain, and an invited professor at Queen’s University, Kingston, Canada. He is senior editor of Journal of Process Control and associate editor of Automatica. He received an Outstanding Service Award from IFAC and is an IFAC Fellow and an IEEE Fellow. He holds a doctor honoris causa from Grenoble INP. He is the author or co-author of five books, more than 180 papers in refereed journals, and more than 280 international conference papers. His main research interests are in the fields of distributed parameter systems, nonlinear systems, parameter and state estimation, and adaptive extremum seeking control.