Overview
- Covers a range of control methods so that if one proves unsuitable, other options are available
- Provides researchers with evidence demonstrating control of biological systems with economic importance
- Introduces singular systems through basics of periodic, quasiperiodic and chaotic systems making the subject accessible to the non-specialist
Part of the book series: Lecture Notes in Control and Information Sciences (LNCIS, volume 421)
Access this book
Tax calculation will be finalised at checkout
Other ways to access
Table of contents (15 chapters)
Keywords
About this book
The book begins from the essentials of singular systems theory and bifurcations before tackling the use of various forms of control in singular biological systems using examples including predator-prey relationships and viral vaccination and quarantine control. Researchers and graduate students studying the control of complex biological systems are shown how a variety of methods can be brought to bear and practitioners working with the economics of biological systems and their control will also find the monograph illuminating.
Reviews
From the reviews:
“This book describes the applications of theories of singular systems and control systems to biological systems. It is aimed at graduate students and other researchers in the fields of control theory and systems biology. … a welcome addition to the growing and interdisciplinary research field of systems and control of biological models.” (D. Subbaram Naidu, Amazon.com, July, 2013)Authors and Affiliations
Bibliographic Information
Book Title: Complexity, Analysis and Control of Singular Biological Systems
Authors: Qingling Zhang, Chao Liu, Xue Zhang
Series Title: Lecture Notes in Control and Information Sciences
DOI: https://doi.org/10.1007/978-1-4471-2303-3
Publisher: Springer London
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag London 2012
Softcover ISBN: 978-1-4471-2302-6Published: 18 February 2012
eBook ISBN: 978-1-4471-2303-3Published: 16 February 2012
Series ISSN: 0170-8643
Series E-ISSN: 1610-7411
Edition Number: 1
Number of Pages: XVI, 236
Number of Illustrations: 42 b/w illustrations, 27 illustrations in colour
Topics: Control and Systems Theory, Community & Population Ecology, Genetics and Population Dynamics, Complex Systems, Math. Appl. in Environmental Science