Sensitivity analysis generates essential information for model development, design optimization, parameter estimation, optimal control, model reduction and experimental design. In...
Linda R. Petzold, Shengtai Li, Yang Cao, Radu Serb...
There has been significant progress in the area of short-term scheduling of batch processes, including the solution of industrial-sized problems, in the last 20 years. The main go...
8 Saving of bath chemicals and freshwater consumed within metal finishing systems and the reduction of wastewater produced can be important steps towards more sustainable processes...
In the past few years, Rapid Thermal Processes (RTP) have gained acceptance as mainstream technology for semi-conductors manufacturing. These processes are characterized by a sing...
This paper describes the development of a real-time monitoring system for a batch process operated by Aroma and Fine Chemicals Limited. The process shares many similarities with o...
Ognjen Marjanovic, Barry Lennox, David J. Sandoz, ...
The undergraduate process control course and how it is taught is a controversial subject that generates lively discussions among control academicians, control practitioners, and c...
Thomas F. Edgar, Babatunde A. Ogunnaike, James J. ...
This paper discusses the development of a set of object-oriented modular simulation tools for solving lumped and spatially distributed models generated from chemical process desig...
Principal differential analysis (PDA) is an alternative parameter estimation technique for differential equation models in which basis functions (e.g., B-splines) are fitted to dy...
A. A. Poyton, M. S. Varziri, K. B. McAuley, P. J. ...
The class of stochastic nonlinear programming (SNLP) problems is important in optimization due to the presence of nonlinearity and uncertainty in many applications, including thos...