We examined the repeatability of our REMD simulations, finding that single simulations can be reliable to a quantifiable extent.
On the other hand, the performance of DCVP is maximized through extensive simulations, finding, for each sequence, the parameters giving the best RD performance.
The proposed methodology is applied to a representative six-component case example through simulations, finding that the estimation task can be performed with a three-component reduced model.
The proposed control design is tested with a representative example through simulations, finding a behavior which outperforms the ones of previous TP control schemes.
We additionally examine the accuracy of the commonly used empirical memory functions against those directly calculated from pore-scale simulations, finding that none of these functions can accurately describe the mass exchange process.
The approach is tested with a representative example through simulations finding that the proposed controller behavior outperforms the one of its counterpart implemented with an asymptotic (infinite-time convergent) Extended Kalman Filter (EKF).
The proposed approach is illustrated with a case example, studied before with experiments and PDE-based simulations, finding that the dynamics of the tubular reactor can be modeled with three CSTRs (9-ODE).
Jon Bois released his latest NBA simulation findings.
Results confirm and refine the prior simulation findings.
In Section 5, we provide several suggestions for improving STDMA based on simulation findings.
