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Stochastic uncertainties are ubiquitous in complex dynamical systems and can lead to undesired variability of system outputs and, therefore, a notable degradation of closed-loop performance. This paper investigates model predictive control of nonlinear dynamical systems subject to probabilistic parametric uncertainties. A nonlinear model predictive control framework is presented for control of the...
Characterization of the rate of nucleation of crystals from solution continues to be of interest, both for investigations into fundamental molecular phenomena as well as for applications in the pharmaceuticals, biotechnology, and fine chemicals industries. Substantial experimental evidence indicates that nucleation in some solute-solvent systems does not agree with classical theory, especially at...
Polymorphism is a phenomenon that a substance can have more than one crystal form, each with distinct characteristics. Consequently, controlling polymorphism in drug manufacturing industries are crucial in order to ensure consistent production of the desired polymorph. In this paper, a run-to-run concentration control (C-control) based on iterative learning control is developed. As a case study, a...
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