294,176 research outputs found
Frequency domain criteria for lp-robust stability of systems with fuzzy parameters
The paper deals with the problem of determining stability margin of linear continuous-time system with fuzzy parametric uncertainty. Non-symmetric multivariate membership functions with lp -constraints describing the uncertainty of characteristic polynomial parameters are considered. An elegant solution, graphical in nature, based on generation of Tsypkin-Polyak plot is presented
Evolutionary optimization of a fed-batch penicillin fermentation process
This paper presents a genetic algorithms
approach for the optimization of a fed-batch penicillin
fermentation process. A customized float-encoding
genetic algorithm is developed and implemented to a
benchmark fed-batch penicillin fermentation process.
Off-line optimization of the initial conditions and set
points are carried out in two stages for a single variable
and multiple variables. Further investigations with online
optimization have been carried out to demonstrate
that the yield can be significantly improved with an
optimal feed rate profile. The results have shown that the
proposed approaches can be successfully applied to
optimization problems of fed-batch fermentation to
improve the operation of such processes
Shaping of molecular weight distribution using b-spline based predictive probability density function control
Issues of modelling and control of molecular weight distributions (MWDs) of polymerization products have been studied under the recently developed framework of stochastic distribution control, where the purpose is to design the required control inputs that can effectively shape the output probability density functions (PDFs) of the dynamic stochastic systems. The B-spline Neural Network has been implemented to approximate the function of MWDs provided by the mechanism model, based on which a new predictive PDF control strategy has been developed. A simulation study of MWD control of a pilot-plant styrene polymerization process has been given to demonstrate the effectiveness of the algorithms
Massive particles' Hawking radiation via tunneling from the G.H Dilaton black hole
In the past, Hawking radiation was viewed as a tunneling process and the
barrier was just created by the outgoing particle itself. In this paper,
Parikh's recent work is extended to the case of massive particles' tunneling.
We investigate the behavior of the tunneling massive particles from a
particular black hole solution-G.H Dilaton black hole which is obtained from
the string theory, and calculate the emission rate at which massive particles
tunnel across the event horizon. We obtain that the result is also consistent
with an underlying unitary theory. Furthermore, the result takes the same
functional form as that of massless particles.Comment: 6 pages, no figure, revtex
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