Results 1 to 10 of about 2,102,703 (308)
An Accurate Method for Studying Individual Microbial Lag: Experiments and Computations
Variability in the behavior of microbial foodborne pathogens and spoilers causes difficulties in predicting the safety and quality of food products during their shelf life.
Simen Akkermans +5 more
doaj +1 more source
Although the Cold Atmospheric Plasma (CAP) technology proved promising for inactivation of biofilms present on abiotic food contact surfaces, more research is required to examine the behavior of the CAP surviving biofilm-associated cells.
Marlies Govaert +10 more
doaj +1 more source
Previous studies on the influence of food matrix fat content on thermal inactivation kinetics of food pathogens have shown contradictory results due to the combined influence of fat content and other factors such as composition.
Davy Verheyen +15 more
doaj +1 more source
Robust model predictive control for polytopic uncertain systems via a high-rate network with the FlexRay protocol. [PDF]
Wang J, Fan F, Yu Y, Du S, Guo X.
europepmc +2 more sources
A Review on Predictive Control Technology for Switched Reluctance Motor System
The significance of employing control strategies on a switched reluctance motor (SRM) is that they can reduce vibration noise and torque ripple. With the rapid development of digital system processors, predictive control (PC), as a modern control ...
Yiliang Zhu, Ming Yao, Xiaodong Sun
doaj +1 more source
Previous (biofilm) inactivation studies using Cold Atmospheric Plasma (CAP) focused on helium (with or without the addition of oxygen) as feeding gas since this proved to result in a stable and uniform plasma.
Marlies Govaert +4 more
doaj +1 more source
A simplified algorithm of weighted generalized predictive adaptive control [PDF]
In this paper a weighted generalized predictive controller and a simplified adaptive control algorithm using a multi-step cost-function with polynomial weighting are presented.
Wei Wang, Rolf Henriksen
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Deep neural learning based distributed predictive control for offshore wind farm using high fidelity LES data [PDF]
The paper explores the deep neural learning (DNL) based predictive control approach for offshore wind farm using high fidelity large eddy simulations (LES) data.
Yin, Xiuxing, Zhao, Xiaowei
core +1 more source
Background Tobacco use and the Western diet are two of the most important and investigated topics in relation to adolescents’ health. In addition, air pollution is a crucial subject for future generations.
Chiara Marabelli +14 more
doaj +1 more source
State-space predictive control [PDF]
This paper deals with a predictive control strategy based on state-space models. Important issues concerning inherent model identification and optimal control computation are briefly discussed.
Jens G. Balchen +2 more
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