TY - BOOK ID - 8431881 TI - Dynamic models and control of biological systems AU - Sree Hari Rao, Vadrevu. AU - Raja Sekhara Rao, Ponnada. PY - 2009 SN - 1489984984 1441903585 9786612292316 1282292315 1441903593 9781441903587 PB - New York, NY : Springer, DB - UniCat KW - Biological systems -- Mathematical models. KW - Chemostat. KW - Microbial populations -- Mathematical models. KW - Microbiological Processes. KW - Models, Biological. KW - Biological systems KW - Microbial populations KW - Chemostat KW - Epidemiologic Measurements KW - Models, Theoretical KW - Investigative Techniques KW - Microbiological Phenomena KW - Statistics as Topic KW - Phenomena and Processes KW - Analytical, Diagnostic and Therapeutic Techniques and Equipment KW - Public Health KW - Epidemiologic Methods KW - Environment and Public Health KW - Health Care KW - Biometry KW - Microbiological Processes KW - Models, Biological KW - Methods KW - Biology KW - Health & Biological Sciences KW - Biology - General KW - Mathematical models KW - Biomathematics. KW - Computational biology. KW - Mathematics KW - Life sciences. KW - Systems biology. KW - Microbial ecology. KW - Community ecology, Biotic. KW - Ecology. KW - Life Sciences. KW - Systems Biology. KW - Mathematical and Computational Biology. KW - Theoretical Ecology/Statistics. KW - Community & Population Ecology. KW - Microbial Ecology. KW - Bioinformatics KW - Biological models. KW - Balance of nature KW - Bionomics KW - Ecological processes KW - Ecological science KW - Ecological sciences KW - Environment KW - Environmental biology KW - Oecology KW - Environmental sciences KW - Population biology KW - Environmental microbiology KW - Microorganisms KW - Ecology KW - Microbiology KW - Ecology . KW - Biocenoses KW - Biocoenoses KW - Biogeoecology KW - Biological communities KW - Biomes KW - Biotic community ecology KW - Communities, Biotic KW - Community ecology, Biotic KW - Ecological communities KW - Ecosystems KW - Natural communities KW - Computational biology KW - Molecular biology KW - Biological systems - Mathematical models KW - Microbial populations - Mathematical models UR - https://www.unicat.be/uniCat?func=search&query=sysid:8431881 AB - 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. ER -