Dynamic Models and Control of Biological Systems

Ponnada Raja Sekhara Rao

ISBN 10: 1489984984 / ISBN 13: 9781489984982

Editore: Springer New York, Springer US Nov 2014, 2014

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This item is printed on demand - Print on Demand Titel. Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 292 pp. Englisch.

Codice articolo 9781489984982

Dati bibliografici

• Titolo: Dynamic Models and Control of Biological Systems
• Editore: Springer New York, Springer US Nov 2014
• Data di pubblicazione: 2014
• Lingua: Inglese
• ISBN 10: 1489984984
• ISBN 13: 9781489984982
• Rilegatura: Taschenbuch
• Condizione: Neu
• Dimensioni: 235 L x 155 A x 16 P (millimetri) 235 millimetri di larghezza per 155 millimetri di altezza per 16 millimetri di profondità
• Peso: 446 grammi

Descrizione articolo

Riassunto

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.

Dalla quarta di copertina

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.

Key Features:

Covers all fundamental concepts and mathematical skills needed to build models for microbial populations.

Provides an accessible and informative over view of known literature including several practical techniques.

Presents a comprehensive analysis of chemostat models and their limitations in adapting to natural lakes.

A thorough discussion on the design of biologically viable control mechanisms (termed bio-control mechanisms) to contain the instability tendencies.

Construction of a variety of Lyapunov functionals for global stability analysis.

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.