This book reviews the essentials of singular systems theory and bifurcations, then tackles the use of various forms of control in singular biological systems, using examples including predator-prey relationships and viral vaccination and quarantine control.

Complexity, Analysis and Control of Singular Biological Systems follows the control of real-world biological systems at both ecological and phyisological levels concentrating on the application of now-extensively-investigated singular system theory. Much effort has recently been dedicated to the modelling and analysis of developing bioeconomic systems and the text establishes singular examples of these, showing how proper control can help to maintain sustainable economic development of biological resources.
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.

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

Autorentext

Guoliang Wang received the B.Sc., M.Sc. and Ph.D. degrees in Control Theory and Engineering from the Northeastern University, China, in 2004, 2007 and 2010, respectively. He is currently an Associate Professor in the School of Information and Control Engineering, Liaoning Shihua University, China. He has authored/co-authored over 40 publications. His research interests include Markovian jump systems, singular systems, stochastic control and filtering. Qingling Zhang received the B.Sc. and M.Sc. degrees from the Mathematics Department and the Ph.D. degree from the Automatic Control Department of Northeastern University, China, in 1982, 1986, and 1995, respectively. Since 1997, he has been a Professor with Northeastern University. He is also a member of the University Teaching Advisory Committee of National Ministry of Education. He has published 16 books and more than 480 papers about control theory and applications. Dr. Zhang received 14 prizes from central and local governments for his research. He has also received the Golden Scholarship from Australia in 2000 and now holds a visiting professor position in the University of Kent awarded by the Royal Academy of Engineering in United Kingdom. His current research interests cover singular systems, networked control systems, stochastic control and robust control. Xinggang Yan received the B.Sc. and M.Sc. degrees in Shaanxi Normal University and Qufu Normal University respectively, and received the Ph.D degree in Control Engineering from the Automatic Control Department of Northeastern University, China, in 1997. Currently, he is a Lecturer in the School of Engineering and Digitalk Arts in the University of Kent. He is a member of IEEE. He has published more than 100 papers in the area of control theory and applications. His research interest includes nonlinear control, sliding mode control, decentralized control, time delay systems, observer design and fault detection and isolation.

Inhalt
Introduction.- Bifurcations.- Bifurcations and Control in a Singular Biological Economic Model.- Chaos and Control in Singular Biological Economic Systems.- TakagiSugeno Fuzzy Control for Singular Biological Systems.- Dynamic Analysis and Optimal Control of Singular Biological Economic Model.- Bifurcations of a Class of Singular Biological Economic Models.-
A Singular Bioeconomic Model with Diffusion and Time Delay.- Bifurcation Analysis and Control of a Class of Hybrid Biological Economic Models.- Bifurcations of a Class of Discrete-time Biological Economic Models.- Mechanics and Control in Singular Complex Physiological Systems.- Discussion.