Static robust optimization (RO) is a methodology to solve mathematical optimization
problems with uncertain data. The objective of static RO is to find solutions that are immune …

The academic literature on and industrial practice of control of solution crystallization
processes have seen major advances in the past 15 years that have been enabled by …

This multiauthor review article aims to bring readers up to date with some of the current
trends in the field of process analytical technology (PAT) by summarizing each aspect of the …

At publication, The Control Handbook immediately became the definitive resource that
engineers working with modern control systems required. Among its many accolades, that …

Abstract─ While linear model predictive control is popular since the 70s of the past century,
only since the 90s there is a steadily increasing interest from control theoreticians as well as …

Stochastic model predictive control (MPC) strategies can provide guarantees of stability and
constraint satisfaction, but their online computation can be formidable. This difficulty is …

Nonlinear model predictive control (NMPC) is one of the few control methods that can
handle multivariable nonlinear control systems with constraints. Gaussian processes (GPs) …

The control of crystal size distribution (CSD) in pharmaceutical crystallization is of primary
importance, as downstream processes such as filtration or drying are greatly affected by the …

Industrial Process Identification and Control Design is devoted to advanced identification
and control methods for the operation of continuous-time processes both with and without …

Although for decades nearly all pharmaceuticals have been purified by crystallization, there
have been a disproportionate number of problems associated with the operation and control …