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Globally Linearizing Control (GLC) is a control algorithm capable of using nonlinear process model directly. In GLC, mostly, first-principles models derived from dynamic mass, energy and momentum balances are used. When the process is not perfectly known, the unknown parts of the first principles model should be represented by black-box models, e.g. by neural networks. This paper is devoted to ...

In this study a hybrid strategy of multi-objective differential algorithm (MODE) is used successfully on an industrial problem. The hybrid strategy consists of hybridization of deterministic local search method with the evolutionary algorithm The developed algorithm is also applied successfully on multi-objective optimization of industrial polyethylene terephthalate (PET) rector. The ODE23s sub...

In this paper, we explore the self-pinched transport of heavy ions in an inertial confinement fusion reactor chamber environment. The bulk of this work is carried out using a hybrid particle-in-cell code. The initial results show that a neutral flibe pressure of roughly 5–50 mtorr is sufficient to produce a net current capable of confining the ions at small radius (<5 mm). The source and sensit...

We present an industrial case study of a three-phase reaction system in a batch reactor. For the successful modeling and prediction of the plant-scale performance a hybrid model is used. Data from different scales were available for developing the model. In order to model the large-scale production process the first principles model was extended with neural network models to identify the missin...

INTRODUCTION Anaerobic technology have been successful applied for industrial waste water treatment. High reaction rate per unit volume by retaining the biomass in the reactor independently of the incoming waste water flow and concentration. Often high volumetric loading rates in the order of 10 to 40 kg COD/m.d are used. High rate anaerobic biological reactors may be classified into three broa...

A new variant of a hybrid Monte Carlo–deterministic approach for simulating particle transport problems is presented and compared to the SCALE FW-CADIS approach. The new approach, denoted as the SUBSPACE approach, improves the selection of the importance maps in order to reduce the computational overhead required to achieve global variance reduction—that is, the uniform reduction of variance ev...

The use of lower hybrid waves for current drive in steady state tokamak power reactors is studied. Constraints imposed by rf wave propagation are considered in detail. The effect of decoupling of electron and ion temperatures is studied and is found to enhance significantly the ratio of fusion power to dissipated power. Tradeoffs for parameters of rf driven steady state reactors are determined....

A fast two-dimensional (2D) hybrid fluid-analytical transform coupled plasma reactor model was developed using the finite elements simulation tool COMSOL. Both inductive and capacitive coupling of the source coils to the plasma are included in the model, as well as a capacitive bias option for the wafer electrode. A bulk fluid plasma model, which solves the time-dependent plasma fluid equations...

The attainable-region approach for reaction, mixing, and separation is applied for step-growth melt polycondensations. A concentration-based formulation is applied to develop hybrid reactorseparator models for the two-phase continuous stirred tank reactor and plug-flow reactor with simultaneous vapor removal. The evaporation of the volatile byproducts, which is typically limited by liquid-phase...