Impulsive Mathematical Models of Endocrine Regulation

Erscheinungsjahr 2020
ISBN: 978-0-12-813053-7
Verlag: Elsevier Science

Buch, Englisch, 320 Seiten, Format (B × H): 191 mm x 235 mm

Impulsive Mathematical Models of Endocrine Regulation demonstrates recently-developed mathematical models portraying pulse-modulated regulation in endocrine systems, taking a pragmatic engineering stance by starting with the necessary theoretical background on analytical tools, progressing through a number of mathematical models of increasing complexity, and illustrating the feasibility and fidelity of the mathematical constructs on actual biological data. Compared to a commonplace, theory-oriented book on dynamical systems and control which typically presents a group of design or analysis techniques, the book originates from a real-life problem of fundamental value and introduces mathematical tools that have specifically been devised to solve it.

Zielgruppe

<p>Researchers in biomedical engineering, biomathematics, biomedical control, and signal processing </p>

Autoren/Hrsg.

Medvedev, Alexander

Churilov, Alexander

Zhusubaliyev, Zhanybai T

Fachgebiete

• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen

Inhaltsverzeichnis

1. Endocrine Regulation2. Mathematical Grounds3. Bifurcations and Nonlinear Phenomena in Impulsive Models of Endocrine Regulation4. Applications

Über Autor(innen)

Medvedev, Alexander
Alexander Medvedev is currently a professor in Control Engineering and the program director for Automatic Control at Uppsala University. He received his M. Sc. in Automatic and Remote Control, followed by his Ph. D. in Control Engineering, from Leningrad Electrical Engineering Institute. Dr. Medvedev has been a recipient of numerous awards, including Best Paper Awards from The First International Conference on Smart Portable, Wearable, Implantable, and Disability-Oriented Devices and Systems (June 2015) and the IEEE-sponsored 6th International Congress on Ultra Modern Telecommunications and Control Systems (October 2014). He is an editorial board member for EURASIP Journal on Signal Processing and Bioinformatics, and has contributed to over 240 peer-reviewed journal and conference papers.

Churilov, Alexander
Alexander N. Churilov is currently a professor of Theoretical Cybernetics at St. Petersburg State University, as well as a professor of Computer Science at St. Petersburg Marine Technical University. He received his M. Sc. in Mathematics and later his Ph. D. in Mathematical Cybernetics from Leningrad State University. He also received his Doctor of Sciences in mathematical cybernetics and mathematical modeling from St. Petersburg State University. Dr. Churilov is a member of the International Physics and Control Society and the St. Petersburg Informatics and Control Society. He has published four books and hundreds of papers on mathematical modeling. His research areas include nonlinear control systems, impulsive control systems, stability, and oscillations.

Zhusubaliyev, Zhanybai T
Zhanybai T. Zhusubaliyev is currently a professor of Computer Science and the Head of the Nonlinear Dynamical System Group at Southwest State University. He received his M. Sc. in Computer Science and later his Ph. D. in Electrotechnical Systems from Tomsk State Politechnical University. Dr. Zhusubaliyev is a member of the International Physics and Control Society and the Italian Society for Chaos and Complexity, and also serves as Associate Editor of Dynamical Systems for Frontiers in Applied Mathematics and Sciences. He has written four books including Bifurcations and Chaos in Piecewise-Smooth Dynamical Systems and his research interests include mathematical modeling, bifurcations, and nonlinear dynamics.