Sentence examples for Process dynamics models from inspiring English sources

The unified model from this paper can be applied in conjunction with the process dynamics models to study the performance of automatic controllers prior to controller design.

Using all-pass factorization of the process dynamics models and the Internal Model Control framework, the best achievable closed-loop performances of mitigating the effects from variations in the flowrate and compositions of whey from different control system designs are determined.

This paper presents the numerical simulation results for the process dynamics model for SCFX processing and post-extrusion drying developed in Part I.

The probabilistic modeling part of DORA integrates stochastic modeling and process dynamics modeling to evaluate operational risk.

Because of the integration of the functional model as an interface with the human operator, the designer can easily build the thermofluid process-dynamics models of most technological processes and generate the fault indicators in symbolic format.

For reliable model results, it is essential to better understand the nitrate process dynamics in models.

The detailed process dynamics are modeled and visualized by the virtual plant system.

Sensitivity studies were preformed to investigate the dependence of process dynamics on model parameters pertaining to adsorption equilibrium and kinetics, liquid film transport, biofilm diffusion, biochemical reaction kinetics, influent concentration, and reactor flow conditions.

On this basis, the system architecture and analysis process of dynamics modeling system for the dynamics modeling based on virtual assembly for integrated transmission are proposed.

To study the mechanism of this process on chemical incidents, three causality feedback loops were achieved by analyzing previous studies on this mental process; meanwhile, system dynamics models were constructed.

These learning effects are stronger in stable FF (i.e., velocity-dependent) compared to unstable FF (i.e., divergent), which suggests that impedance control is connected to the learning process with internal dynamics models and that the CNS employs co-activation to increase task accuracy in early stages of learning, when the internal model is not adequately accurate yet [5], [6].