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Titlebook: Complexity, Analysis and Control of Singular Biological Systems; Qingling Zhang,Chao Liu,Xue Zhang Book 2012 Springer-Verlag London 2012 B

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發(fā)表于 2025-3-21 16:27:52 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Complexity, Analysis and Control of Singular Biological Systems
編輯Qingling Zhang,Chao Liu,Xue Zhang
視頻videohttp://file.papertrans.cn/232/231698/231698.mp4
概述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.
叢書名稱Lecture Notes in Control and Information Sciences
圖書封面Titlebook: Complexity, Analysis and Control of Singular Biological Systems;  Qingling Zhang,Chao Liu,Xue Zhang Book 2012 Springer-Verlag London 2012 B
描述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.
出版日期Book 2012
關(guān)鍵詞Biological Systems; Complexity Analysis; Control Applications; Control Theory; Singular Systems; System M
版次1
doihttps://doi.org/10.1007/978-1-4471-2303-3
isbn_softcover978-1-4471-2302-6
isbn_ebook978-1-4471-2303-3Series ISSN 0170-8643 Series E-ISSN 1610-7411
issn_series 0170-8643
copyrightSpringer-Verlag London 2012
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Bifurcations and Control in a Singular Biological Economic Model, Individuals in each stage are identical in biological characteristics, and some vital rates (rates of survival, development, and reproduction) of individuals in a population almost always depend on stage structure. Furthermore, there is a strong interaction relationship between the mature populatio
地板
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Chaos and Control in Singular Biological Economic Systems,s. One-dimensional bifurcation diagrams of Poincaré maps present information about the dependence of the dynamics on a certain parameter. The analysis is expected to reveal the type of attractor to which the dynamics will ultimately settle down after passing the initial transient phase and within wh
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T-S Fuzzy Control for Singular Biological Systems, ..(.) and ..(.) represents population density of immature species and mature species, respectively. ., .., . denotes the intrinsic growth rate, death rate, and transition rate, respectively. .. is the death rate of the mature population, and the growth of the immature population is restricted by po
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Bifurcations of a Singular Predator-Prey Model with Holling-II Functional Response, analysis and modelling of biological systems. From the view of human needs, the exploitation of biological resources and harvest of populations are commonly practiced in the fields of fishery, wildlife, and forestry management. T.K. Kar and U.K. Pahari [6], Dongmei Xiao et al. [12], and S. Kumar [7
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A Singular Bioeconomic Model with Diffusion and Time Delay, of analytic methods have been presented, such as local stability, optimal control, singularity induced bifurcation, feasibility regions, and so on. However, to our best knowledge, such reports of singular biological systems are few.
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Bifurcations of a Class of Discrete-Time Singular Biological Economic Models,ed by two pioneers, Lotka [8] and Volterra [12], in two independent works. The research dealing with interspecific interactions hasmainly focused on continuous prey-predatormodels of two variables. However, certain species, including many species of insects, have no overlap between successive genera
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