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Dynamics of the Chemostat - A Bifurcation Theory Approach (Paperback)
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Dynamics of the Chemostat - A Bifurcation Theory Approach (Paperback)
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A ubiquitous tool in mathematical biology and chemical engineering,
the chemostat often produces instabilities that pose safety hazards
and adversely affect the optimization of bioreactive systems.
Singularity theory and bifurcation diagrams together offer a useful
framework for addressing these issues. Based on the authors'
extensive work in this field, Dynamics of the Chemostat: A
Bifurcation Theory Approach explores the use of bifurcation theory
to analyze the static and dynamic behavior of the chemostat.
IntroductionThe authors first survey the major work that has been
carried out on the stability of continuous bioreactors. They next
present the modeling approaches used for bioreactive systems, the
different kinetic expressions for growth rates, and tools, such as
multiplicity, bifurcation, and singularity theory, for analyzing
nonlinear systems. ApplicationThe text moves on to the static and
dynamic behavior of the basic unstructured model of the chemostat
for constant and variable yield coefficients as well as in the
presence of wall attachment. It then covers the dynamics of
interacting species, including pure and simple microbial
competition, biodegradation of mixed substrates, dynamics of
plasmid-bearing and plasmid-free recombinant cultures, and dynamics
of predator-prey interactions. The authors also examine dynamics of
the chemostat with product formation for various growth models,
provide examples of bifurcation theory for studying the operability
and dynamics of continuous bioreactor models, and apply elementary
concepts of bifurcation theory to analyze the dynamics of a
periodically forced bioreactor. Using singularity theory and
bifurcation techniques, this book presents a cohesive mathematical
framework for analyzing and modeling the macro- and microscopic
interactions occurring in chemostats. The text includes models that
describe the intracellular and operating elements of the
bioreactive system. It also explains the mathematical theory behind
the models.
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