Inferential MIMO predictive control of the particle size distribution in emulsion polymerization

Our study thus addressed the influence of P concentration through water addition on the reactive mixture, the structure and working properties of acid-based

The contribution of this paper is therefore to provide a model predictive control (MPC) framework, as applied in [9], to minimize under constraints the drying

Where an individual has broader health concerns (i.e., low precision priors) but the prediction errors are also impre- cise, a tendency to experience multiple symptoms may result, as

Gaussian curvature (focal conic domains of the usual type) close to the phase boundary with the L~ sponge phase, and defects with positive Gaussian curvature (focal conic domains

The main objective of this PhD thesis is the development of image analysis methods for characterizing the geometry and morphology of a dense population of particles by

Predicative forms in natural language and lexical knowledge bases, pp. 385-319, 1999, which should be used for any reference to

Emulsion heat stability according to casein content Emulsion texture in function of the whey protein aggregate (strands) and the casein concentrations.

In fact, zero-one systems generally concern small particles (for which the rate of radical entry is low and the rates of radical desorption and termination are