Dynamic Models and Control of Biological Systems [electronic resource] / by Vadrevu Sree Hari Rao, Ponnada Raja Sekhara Rao.

Return to search

Call Number	570
Author	Rao, Vadrevu Sree Hari. author.
Title	Dynamic Models and Control of Biological Systems by Vadrevu Sree Hari Rao, Ponnada Raja Sekhara Rao.
Physical Description	XIII, 275 p. online resource.
Contents	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.
Summary	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.
Added Author	Rao, Ponnada Raja Sekhara. author. SpringerLink (Online service)
Subject	LIFE SCIENCES. Systems biology. MICROBIAL ECOLOGY. Community ecology, Biotic. ECOLOGY. BIOMATHEMATICS. Life Sciences. Systems Biology. Mathematical and Computational Biology. Theoretical Ecology/Statistics. Community & Population Ecology. Microbial Ecology.
Multimedia	http://dx.doi.org/10.1007/978-1-4419-0359-4

Libraries with this item

950	Biomedical and Life Sciences (Springer-11642)

Total Ratings: 0

Copies
MARC Record
Reviews
Details


No records found to display.

03578nam a22005535i 4500

001

vtls001568344

003

VRT

005

20170831182900.0

007

cr nn 008mamaa

008

170831s2009 xxu| s |||| 0|eng d

020

$a 9781441903594 $9 978-1-4419-0359-4

024

$a 10.1007/978-1-4419-0359-4 $2 doi

035

$a (DE-He213)978-1-4419-0359-4

039

$a 201708311829 $b santha $y 201708311321 $z vjs2012

050

$a QH301-705

072

$a PSA $2 bicssc

072

$a SCI086000 $2 bisacsh

072

$a SCI064000 $2 bisacsh

082

$a 570 $2 23

100

$a Rao, Vadrevu Sree Hari. $e author.

245

$a Dynamic Models and Control of Biological Systems $h [electronic resource] / $c by Vadrevu Sree Hari Rao, Ponnada Raja Sekhara Rao.

264

$a New York, NY : $b Springer New York, $c 2009.

300

$a XIII, 275 p. $b online resource.

336

$a text $b txt $2 rdacontent

337

$a computer $b c $2 rdamedia

338

$a online resource $b cr $2 rdacarrier

347

$a text file $b PDF $2 rda

505

$a 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.

520

$a 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.

650

$a LIFE SCIENCES.

650

$a Systems biology.

650

$a MICROBIAL ECOLOGY.

650

$a Community ecology, Biotic.

650

$a ECOLOGY.

650

$a BIOMATHEMATICS.

650

$a Life Sciences.

650

$a Systems Biology.

650

$a Mathematical and Computational Biology.

650

$a Theoretical Ecology/Statistics.

650

$a Community & Population Ecology.

650

$a Microbial Ecology.

700

$a Rao, Ponnada Raja Sekhara. $e author.

710

$a SpringerLink (Online service)

773

$t Springer eBooks

776

$i Printed edition: $z 9781441903587

856

$u http://dx.doi.org/10.1007/978-1-4419-0359-4

912

$a ZDB-2-SBL

950

$a Biomedical and Life Sciences (Springer-11642)

999

$a VIRTUA

No Reviews to Display

Summary	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.
Contents	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.
Subject	LIFE SCIENCES. Systems biology. MICROBIAL ECOLOGY. Community ecology, Biotic. ECOLOGY. BIOMATHEMATICS. Life Sciences. Systems Biology. Mathematical and Computational Biology. Theoretical Ecology/Statistics. Community & Population Ecology. Microbial Ecology.
Multimedia	http://dx.doi.org/10.1007/978-1-4419-0359-4