Optimization Criteria In Design Of Seismic Isolated Building

Author(s):  
Paolo Clemente ◽  
Giacomo Buffarini ◽  
Adolfo Santini ◽  
Nicola Moraci
2008 ◽  
Vol 2008 ◽  
pp. 1-16 ◽  
Author(s):  
Nike Liu ◽  
Kemin Zhou

This paper considers robust fault-detection problems for linear discrete time systems. It is shown that the optimal robust detection filters for several well-recognized robust fault-detection problems, such asℋ−/ℋ∞,ℋ2/ℋ∞, andℋ∞/ℋ∞problems, are the same and can be obtained by solving a standard algebraic Riccati equation. Optimal filters are also derived for many other optimization criteria and it is shown that some well-studied and seeming-sensible optimization criteria for fault-detection filter design could lead to (optimal) but useless fault-detection filters.


2014 ◽  
Vol 1018 ◽  
pp. 563-570
Author(s):  
Marcel Wagner ◽  
Tim Schleimer ◽  
Tobias Seeberger ◽  
Gunther Reinhart

Production Planning and Control (PPC) does not only play an important role in the classical field of production. Concerning a trend to more customer related products and a so called buyers market, also the not yet strongly automated businesses have to think about topics like PPC. By forming a new automated shop floor in a commercial kitchen for example, new optimization criteria in the PPC play a crucial role. Especially in the manner of scheduling jobs different constraints concerning the handled products come up. This paper demonstrates a possibility to extend the criteria of PPC with the subjective parameter of product quality. This approach allows influencing an oven-control to reach the best product quality in its processing.


Author(s):  
A. V. Vinnichenko ◽  

The paper presents methods and approaches for mathematical modeling and rationalization of flexible additive manufacturing, as well as other processes by which it is possible to create additive models for their integration into the system of experimental or pilot production. The work has also formed and synthesized a process model, which includes flexible production indicators, service indicators, and a developed criterion base for their assessment. The work takes into account the optimization criteria, as well as maximizing and minimizing risks for additive manufacturing, taking into account the possible risk component when deploying new processes for experimental and small-scale production. The models and methods described in the article will make it possible to carry out mathematical modeling and subsequent improvements for the flexible production process using additive technologies, used as a means of achieving the rational use of existing production resources within the framework of existing scientific and production complexes.


2021 ◽  
pp. 1-28
Author(s):  
Robson L Silva ◽  
Omar Seye ◽  
Paulo P. S. Schneider

Abstract Biomass feedstock is broadly available in many countries and a significant amount of residual biomass comes from agriculture and forest crops. This study aims to identify a consistent criteria for optimize Macaw husks torrefaction process maximizing the energy content and minimizing the mass loss. The optimization criteria is based on the Severity Factor (SF), HHVTorrified and ηSolid-Yield. The energy density (ρEnergy) does not provide consistent and indisputable evidence as an optimization criteria; the same applies to Energy-Mass Co-benefit Index (EMCI) and ηEnergy-Yield. This investigation combined few temperatures (180°C, 220°C, and 260°C) with different residence times (20, 40, and 60 min) and found that the optimum torrefaction range for Macaw husk is 220


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