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The paper derives mathematical model and optimal operation of batch diafiltration processes with partial recirculation of retentate, i.e. batch closed-loop membrane processes.
An improved agglomerate approach is employed within a 2D cathode model and optimal CL constituent (Pt, C, and ionomer) distributions are obtained to maximize the current density under different operating regimes.
We focus on three scenarios for either scheme: single difference model vs. double difference model, single frequency model vs. multiple frequency model and optimal linear combinations vs. traditional triple-frequency least squares.
Experimental results were fitted to the second order polynomial model where multiple regression and analysis of variance were used to determine the fitness of the model and optimal condition for investigated responses.
On top of this optimal feedforward control sequence a feedback (closed-loop) controller based on a linearized model and optimal control design techniques is added to track the desired state evolution.
The proposed model and optimal algorithm can operate together in an integrated manner to improve the precision of failure prognosis by using the qualitative knowledge and quantitative information effectively.
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Protein Classification by Stochastic Modeling and Optimal Filtering of Amino-Acid Sequences.
This Solutions Manual contains answers to most of the problems in General Equilibrium, Overlapping Generations Models, and Optimal Growth Theory.
Wear tests are conducted to evaluate the proposed models and optimal design solutions.
This paper is concerned with mathematical modeling and optimal motion designing of flexible mobile manipulators.
Thermal modeling and optimal design of an underfloor heating system are presented in this paper.
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