Software sensors for bioprocesses.
State estimation is a significant problem in biotechnological processes, due to the general lack of hardware sensor measurements of the variables describing the process dynamics. The objective of this paper is to review a number of software sensor design methods, including extended Kalman filters, receding-horizon observers, asymptotic observers, and hybrid observers, which can be efficiently applied to bioprocesses. These several methods are illustrated with simulation and real-life case studies.
Bogaerts
Ph
P
Université Libre de Bruxelles, Control Engineering and System Analysis Department, Av. F.-D. Roosevelt, 50 C.P.165/55 B-1050 Brussels, Belgium. Philippe.Bogaerts@ulb.ac.be
Vande Wouwer
A
A
D000465:Algorithms; D001709:Biotechnology / Q000379:methods*; D003198:Computer Simulation; D008954:Models, Biological; D012984:Software; D013269:Stochastic Processes; D014159:Transducers