Buch, Englisch, 126 Seiten, Previously published in hardcover, Format (B × H): 155 mm x 235 mm, Gewicht: 230 g
Modeling and Control of Large-Size Agent Populations
Buch, Englisch, 126 Seiten, Previously published in hardcover, Format (B × H): 155 mm x 235 mm, Gewicht: 230 g
Reihe: Springer Tracts in Advanced Robotics
ISBN: 978-3-642-09115-5
Verlag: Springer
is an outcome of the multidisciplinary research extending over Biology, Robotics and Hybrid Systems Theory. It is inspired by modeling reactive behavior of the immune system cell population, where each cell is considered as an independent agent. In our modeling approach, there is no difference if the cells are naturally or artificially created agents, such as robots. This appears even more evident when we introduce a case study concerning a large-size robotic population scenario. Under this scenario, we also formulate the optimal control of maximizing the probability of robotic presence in a given region and discuss the application of the Minimum Principle for partial differential equations to this problem. Simultaneous consideration of cell and robotic populations is of mutual benefit for Biology and Robotics, as well as for the general understanding of multi-agent system dynamics.
The text of this monograph is based on the PhD thesis of the first author. The work was a runner-up for the fifth edition of the Georges Giralt Award for the best European PhD thesis in Robotics, annually awarded by the European Robotics Research Network (EURON).
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Wissensbasierte Systeme, Expertensysteme
- Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Angewandte Mathematik, Mathematische Modelle
- Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik Robotik
- Technische Wissenschaften Technik Allgemein Mess- und Automatisierungstechnik
- Mathematik | Informatik Mathematik Mathematische Analysis Variationsrechnung
- Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Computeranwendungen in der Mathematik
Weitere Infos & Material
Immune System and T-Cell Receptor Dynamics of a T-Cell Population.- Micro-Agent and Stochastic Micro-Agent Models.- Micro-Agent Population Dynamics.- Stochastic Micro-Agent Model of the T-Cell Receptor Dynamics.- Stochastic Micro-Agent Model Uncertainties.- Stochastic Modeling and Control of a Large-Size Robotic Population.- Conclusions and Future Work.