Balancing Related Model Order Reduction Applied to Linear Controlled Evolution Equations with Lévy Noise

Otto-von-Guericke-Universität Magdeburg, Fakultät für Mathematik, Dissertation, 2016von Martin Redmann, M. Sc.Literaturverzeichnis: Blatt 177-18

Biological Monitoring of the Capsule Mechanical Training Model During Assembly in the Sterilization Assembly Development Laboratory

Microbial burden sterilization assembly procedure development using rigorous monitoring progra

Effect of environment on biological burden during spacecraft assembly

Determining effects of environment on accumulation of biological burden on spacecraft during assembl

Dynamic programming for optimal stopping via pseudo-regression

We introduce new variants of classical regression-based algorithms for optimal stopping problems based on computation of regression coefficients by Monte Carlo approximation of the corresponding L2 inner products instead of the least-squares error functional. Coupled with new proposals for simulation of the underlying samples, we call the approach "pseudo regression". We show that the approach leads to asymptotically smaller errors, as well as less computational cost. The analysis is justified by numerical examples

Improving Building Control and System Operation Through the Continuous Commissioning® Process: A Case Study

Utilization of the Continuous Commissioning® process is presented in the case of the Consolidated Mission Support Center office building at Travis Air Force Base in Travis, California. The CC® process was applied to the building in early 2003. The examination of the heating, ventilating, and airconditioning (HVAC) and control systems revealed several areas where considerable improvement could be made, including air handling unit (AHU) operational parameters, terminal box and water loop operation, and Energy Management and Control System (EMCS) functionality. It also aided in the identification of mechanical systems needing repair. The optimization of the HVAC systems and advanced utilization of the EMCS reduced the combined heating and cooling energy consumption by 26% without capital intensive upgrades. Cooling energy decreased by 10%, heating energy was cut by over 40%, and fan power decreased by 28%. A hidden benefit to the implementation of the CC® process is the reduction in the human capital required to operate the building. Prior to commissioning, significant time was spent changing system operating setpoints in an attempt to save energy. These efforts are no longer required