A previous implementation of dynamic experiments for the estimation of the parameters of the Cardinal Temperature Model with Inflection (CTMI), which describes the temperature effect on the microbial growth rate, reve...
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A previous implementation of dynamic experiments for the estimation of the parameters of the Cardinal Temperature Model with Inflection (CTMI), which describes the temperature effect on the microbial growth rate, revealed that the maximum growth temperature ( T max ) can only be estimated accurately when temperatures close to the true T max are included. As such, a reliable T max estimate is required at the beginning of the OED/PE implementation. Here, alternative experiments in which the temperature exceeds the growth/inactivation interface are evaluated. Results from the simulation study show that the accuracy and reliability of the T max estimate depends on the selected temperature profile. A very accurate and realistic T max value is obtained from experiments with an initial temperature slightly lower than the true T max . When the dynamic temperature starts at temperatures above T max , a larger uncertainty and variability is observed. From this, it can be concluded that information with respect to growth at temperatures close to T max is required for an accurate and reliable T max estimate. In a second step, two dynamic temperature profiles are implemented in a computer controlled bioreactor. The experimental data do not result in an accurate and reliable estimation of T max . Additional dynamic experiments are required to evaluate the proposed experimental set-up.
This paper deals with design of continuous-time robustly stabilizing Proportional-Integral (PI) controllers for interval systems using the combination of Kronecker summation method, sixteen plant theorem and an algebr...
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This paper deals with design of continuous-time robustly stabilizing Proportional-Integral (PI) controllers for interval systems using the combination of Kronecker summation method, sixteen plant theorem and an algebraic approach to controller tuning. The effectiveness and practical applicability of the proposed method is demonstrated in both simulation and real experiments including control of a third order nonlinear electronic plant.
Analytic expressions are found for the amplitude of the first and second harmonics of the Ultrasound Contrast Agent’s (UCA’s) dynamics when excited by a chirp. The dependency of the second harmonic amplitude on the ...
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Analytic expressions are found for the amplitude of the first and second harmonics of the Ultrasound Contrast Agent’s (UCA’s) dynamics when excited by a chirp. The dependency of the second harmonic amplitude on the system parameters, the UCA shell parameters, and the insonifying signal parameters is then investigated. It is shown that optimal parameter values exist which give rise to a clear increase in the second harmonic component of the UCA’s motion.
Quantitative microbiological risk assessment aims at estimating the risk of illness that is related to a certain pathogen and food type combination through the use of simulations. A recent trend can be seen in which u...
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Quantitative microbiological risk assessment aims at estimating the risk of illness that is related to a certain pathogen and food type combination through the use of simulations. A recent trend can be seen in which uncertainty about the risk estimate is characterized separately from variability, generally implemented by means of a two-dimensional Monte Carlo simulation. This research aims at identifying the key parameters that contribute to the obtained risk while keeping the effect of uncertainty and variability separated using a methodology based on analysis of variance. The risk related to Listeria monocytogenes in meat preparations is used as a case study. It is found that uncertainty about the correct dose-response model is determining the output most. Also the variability distribution of storage duration and storage temperature have a major effect on the final risk. Furthermore, uncertainty about the location of the storage duration distribution is an important factor determining risk. These findings illustrate how the methodology proposed in this research enables identification of the relative importance of all model parameters such as temperature, storage duration, food contamination, etc., and also comparison of the impact of variability versus uncertainty about model parameters on the final risk estimate.
Previous work showed that the exponential growth phase of E. coli K12 MG1655, grown in Brain Heart Infusion broth at temperatures close to its maximum temperature for growth is disturbed. Based on plate count data, mi...
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control of nonlinear systems exhibiting complex dynamic behavior is a challenging task because such systems present a variety of behavioral patterns depending on the values of physical parameters and intrinsic feature...
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ISBN:
(纸本)9783902661661
control of nonlinear systems exhibiting complex dynamic behavior is a challenging task because such systems present a variety of behavioral patterns depending on the values of physical parameters and intrinsic features. Understanding the behavior of the nonlinear dynamic systems and controlling them at the desired conditions is important to enhance their performance. In this work, a soft sensor based nonlinear controller strategy is presented and applied to control a chemical reactor that exhibit multi-stationary unstable behavior, oscillations and chaos. In this strategy, an extended kalman filter is designed to serve as a soft sensor that provides the estimates of unmeasured process states. These states are used as inferential measurements to the nonlinear controller that is designed in the framework of globally linearizing control. The results evaluated for stabilizing the reactor for different conditions including deterministic and stochastic disturbances show the better performance of the soft sensor based nonlinear control strategy over that of a PID controller with modified feedback mechanism.
An industrial implementation of a coordinator MPC to maximize throughput at the large-scale Kårstø gas plant is described. The "coordinator MPC" coordinates the flows through the network and not th...
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ISBN:
(纸本)9783902661548
An industrial implementation of a coordinator MPC to maximize throughput at the large-scale Kårstø gas plant is described. The "coordinator MPC" coordinates the flows through the network and not the local MPCs. It uses as degrees of freedom (MVs) the flows not used by the local MPCs (feeds, crossovers), and maximizes the throughput subject to the keeping the remaining capacities in all units zero or positive. A key idea is to use the local MPCs to estimate the remaining capacities in the units (Aske et al., 2008). Although not fully implemented, the coordinator MPC is found to be a promising tool for implementing maximum throughput.
Robust fit-for-purpose multivariate calibration models are of critical importance to on-line/in-line quantitative monitoring of bio-chemicals and pharmaceuticals using spectroscopic instruments. Unlike in off-line ass...
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Robust fit-for-purpose multivariate calibration models are of critical importance to on-line/in-line quantitative monitoring of bio-chemicals and pharmaceuticals using spectroscopic instruments. Unlike in off-line assays, the spectroscopic measurements in on-line/in-line real-time applications are almost inevitably subjected to variations in measurement conditions (e.g. temperature) and samples' physical properties (e.g. cell density, particle size, sample compactness), which can invalidate the assumption of a linear relationship between the spectroscopic measurements and the concentrations of the target chemical components. This Biotech Highlight discusses the effects of such variations on spectroscopic measurements, and presents an overview of recent work on modelling and correcting of the detrimental effects of variations in measurement conditions and samples' physical properties.A number of application studies to complex datasets and an industrial plant demonstrate the methodologies and algorithms discussed.
The main aim of the contribution is to present a possible approach to design of simple Proportional-Integral (PI) robust controllers and subsequently to demonstrate their applicability during control of a laboratory m...
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