in this work, mathematical modeling of microbial(trichosporon sp.) biomass production in a stirred tankbioreactor and in an external airlift bioreactor has beeninvestigated. a model based on a tanks-in-seriesmodel without back-flow has been used to simulate theproduction of single cell protein in the external airliftbioreactor under an unsteady condition and withoutoxygen limitation, utilizing ...

mathematical modeling and simulation of microbial polyhydroxybutyrate (phb) production process is beneficial for optimization, design, and control purposes. in this study a batch model developed by mulchandani et al., [1] was used to simulate the process in matlab environment. it was revealed that the kinetic model parameters were estimated off the optimal or at a local optimal point. therefore...

Several recently developed model order reduction methods for fast simulation of large-scale dynamical systems with two or more parameters are reviewed. Besides, an alternative approach for linear parameter system model reduction as well as a more efficient method for nonlinear parameter system model reduction are proposed in this paper. Comparison between different methods from theoretical eleg...

Initial population 75000 people Individuals uniformly weighted to represent full S.A. population. Number of burn-in days 7300 days Days from 1960 to infection seeding in 1980. Duration of simulation 32850 days Days from 1960 to end in 2050. Initial prevalence fraction 5 percent Seeding prevalence, high for 1980 but gives good 2010 results. Circumcision probability 42 percent Nationally, 42% of ...

We pose a multi-model system parameter estimation problem. A multi-model system is a linearly parameterized system H(z, p) = ∑np i=1 piHi(z). The parameter estimation problem is: given the set of systems {Hi(z)} np i=1, describing the multi-model system, find a causal system that assumes as an input the input/output signals of the multi-model system and produces as an output the parameter estim...

this paper proposes a novel robust control scheme based on delay-dependent h∞for unified power quality conditioner (upqc) in a microgrid under the influence of the delay and parameter uncertainties. a new upqc model considering the effects of the delay and parameter uncertainties is established. then, the h∞ controller is designed based on the cone complementarity linearization (ccl) algorithm....

Estimating the structure of the human face is a long studied and difficult task. In this paper we present a new method for estimating facial structure from only a minimal number of salient feature points across a video sequence. The presented method uses both an Extended Kalman Filter (EKF) and a Kalman Filter (KF) to regress 3D Morphable Model (3DMM) shape parameters and solve 3D pose using a ...