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Titlebook: Cells and Robots; Modeling and Control Dejan Lj. Milutinović,Pedro U. Lima Book 2007 Springer-Verlag Berlin Heidelberg 2007 Multi-agent sys

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书目名称Cells and Robots
副标题Modeling and Control
编辑Dejan Lj. Milutinović,Pedro U. Lima
视频video
概述Presents multidisciplinary research which spreads over Biology, Robotics and Hybrid Systems Theory.It is shown that Cells can be also engineered and their behaviour controlled.Prize winner in the 5th
丛书名称Springer Tracts in Advanced Robotics
图书封面Titlebook: Cells and Robots; Modeling and Control Dejan Lj. Milutinović,Pedro U. Lima Book 2007 Springer-Verlag Berlin Heidelberg 2007 Multi-agent sys
描述.Cells and Robots. 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)..
出版日期Book 2007
关键词Multi-agent system; agents; modeling; robot; robotics; robotics research; systems theory
版次1
doihttps://doi.org/10.1007/978-3-540-71982-3
isbn_softcover978-3-642-09115-5
isbn_ebook978-3-540-71982-3Series ISSN 1610-7438 Series E-ISSN 1610-742X
issn_series 1610-7438
copyrightSpringer-Verlag Berlin Heidelberg 2007
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Micro-Agent Population Dynamics, approach is motivated by the results of Kinetic Gas Theory [39]. Kinetic Gas Theory deals with a model in which a gas consists of a very large number of small particles in motion. The motivation to exploit this statistical physics reasoning originates from the consideration of a gas as a population
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Stochastic Micro-Agent Model of the T-Cell Receptor Dynamics,e qualitative and quantitative difference between the results received from the Stochastic Micro-Agent and ODE models of TCR dynamics. Particular attention is paid to the capability of comparing the model-predicted TCR distribution to available experimental data.
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Stochastic Modeling and Control of a Large-Size Robotic Population,eloped. We find this approach general enough to provide results of potential interest in engineering applications concerning Multi-Agent systems (MAS). The main motivation of our approach is to provide fundamental principles of modeling and control for large-size populations, providing math-based to
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