Details
Dynamic Models and Control of Biological Systems
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106,99 € |
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| Verlag: | Springer |
| Format: | |
| Veröffentl.: | 30.07.2009 |
| ISBN/EAN: | 9781441903594 |
| Sprache: | englisch |
| Anzahl Seiten: | 280 |
Dieses eBook enthält ein Wasserzeichen.
Beschreibungen
<P>Mathematical Biology has grown at an astonishing rate and has established itself as a distinct discipline. Mathematical modeling is now being applied in every major discipline in the biological sciences. Though the field has become increasingly large and specialized, this book remains important as a text that introduces some of the exciting problems which arise in the biological sciences and gives some indication of the wide spectrum of questions that modeling can address.</P>
<P>Mathematical Biology has grown at an astonishing rate and has established itself as a distinct discipline. Mathematical modeling is now being applied in every major discipline in the biological sciences. Though the field has become increasingly large and specialized, this book remains important as a text that introduces some of the exciting problems which arise in the biological sciences and gives some indication of the wide spectrum of questions that modeling can address.</P>
Basic Models.- Chemostat Versus the Lake.- Instability Tendencies.- Self-Regulation.- Wall Growth.- Zones of No Activation.- Influence of the Control Mechanisms.- Parameter Estimation Using Dynamic Optimization.
<P>Mathematical modeling in the biological sciences is growing exponentially because the general area provides exciting problems from biology to medicine, and this goes under the name mathematical biology. Moreover, models of the growth of microorganisms have become very popular since mathematical predictions can be tested in the laboratory employing a device known as the chemostat. Such models are called chemostat models. This book attempts to present a self contained account of mathematical model building theory of microbial populations.</P>
<P>Key Features:</P>
<P>Covers all fundamental concepts and mathematical skills needed to build models for microbial populations.</P>
<P>Provides an accessible and informative over view of known literature including several practical techniques.</P>
<P>Presents a comprehensive analysis of chemostat models and their limitations in adapting to natural lakes.</P>
<P>A thorough discussion on the design of biologically viable control mechanisms (termed bio-control mechanisms) to contain the instability tendencies.</P>
<P>Construction of a variety of Lyapunov functionals for global stability analysis.</P>
<P>This book is ideal for a general scientific and engineering audience requiring an in-depth exposure to current ideas, methods and models. The topics discussed can serve as a one to two semester course material for senior under graduate and graduate students. It is a useful reference for practitioners, researchers, and professionals in applied mathematics, biology, agriculture, limnology, chemical and civil engineering.</P>
<P>Key Features:</P>
<P>Covers all fundamental concepts and mathematical skills needed to build models for microbial populations.</P>
<P>Provides an accessible and informative over view of known literature including several practical techniques.</P>
<P>Presents a comprehensive analysis of chemostat models and their limitations in adapting to natural lakes.</P>
<P>A thorough discussion on the design of biologically viable control mechanisms (termed bio-control mechanisms) to contain the instability tendencies.</P>
<P>Construction of a variety of Lyapunov functionals for global stability analysis.</P>
<P>This book is ideal for a general scientific and engineering audience requiring an in-depth exposure to current ideas, methods and models. The topics discussed can serve as a one to two semester course material for senior under graduate and graduate students. It is a useful reference for practitioners, researchers, and professionals in applied mathematics, biology, agriculture, limnology, chemical and civil engineering.</P>
<p>Includes a comprehensive chapter on the building of mathematical models from basic principles</p><p>Provides a clear overview of the recent literature and basic dynamical models</p><p>Presents detailed examples and simulations illustrating each new concept</p><p>Provides an in-depth discussion of control mechanisms</p><p>New procedures introduced for the analysis of mathematical models</p><p>Includes supplementary material: sn.pub/extras</p>
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