Analysis and Control of Polynomial Dynamic Models with Biological Applications

Download or Read online Analysis and Control of Polynomial Dynamic Models with Biological Applications full in PDF, ePub and kindle. This book written by Gabor Szederkenyi and published by Academic Press which was released on 30 March 2018 with total pages 184. We cannot guarantee that Analysis and Control of Polynomial Dynamic Models with Biological Applications book is available in the library, click Get Book button to download or read online books. Join over 650.000 happy Readers and READ as many books as you like.

Analysis and Control of Polynomial Dynamic Models with Biological Applications
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Publisher : Academic Press
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ISBN : 9780128154960
Pages : 184 pages
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Analysis and Control of Polynomial Dynamic Models with Biological Applications synthesizes three mathematical background areas (graphs, matrices and optimization) to solve problems in the biological sciences (in particular, dynamic analysis and controller design of QP and polynomial systems arising from predator-prey and biochemical models). The book puts a significant emphasis on applications, focusing on quasi-polynomial (QP, or generalized Lotka-Volterra) and kinetic systems (also called biochemical reaction networks or simply CRNs) since they are universal descriptors for smooth nonlinear systems and can represent all important dynamical phenomena that are present in biological (and also in general) dynamical systems. Describes and illustrates the relationship between the dynamical, algebraic and structural features of the quasi-polynomial (QP) and kinetic models Shows the applicability of kinetic and QP representation in biological modeling and control through examples and case studies Emphasizes the importance and applicability of quantitative models in understanding and influencing natural phenomena

Analysis and Control of Polynomial Dynamic Models with Biological Applications

Analysis and Control of Polynomial Dynamic Models with Biological Applications synthesizes three mathematical background areas (graphs, matrices and optimization) to solve problems in the biological sciences (in particular, dynamic analysis and controller design of QP and polynomial systems arising from predator-prey and biochemical models). The book puts a significant emphasis

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