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Cells and Robots / Milutinovic, Dejan Lj

Public ISBD Titre : Cells and Robots : Modeling and Control of Large-Size Agent Populations Type de document : document électronique Auteurs : Milutinovic, Dejan Lj, Auteur ; Lima, Pedro U., Auteur Editeur : Berlin : Springer Année de publication : 2007 Collection : Springer Tracts in Advanced Robotics ISBN/ISSN/EAN : 978-3-540-71982-3 Note générale : Configuration requise : Adobe acrobat Langues : Anglais (eng) Mots-clés : Automation  Artificial  intelligence  Engineering Résumé : 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 edit Cells and Robots : Modeling and Control of Large-Size Agent Populations [document électronique] / Milutinovic, Dejan Lj, Auteur ; Lima, Pedro U., Auteur . - Springer, 2007. - (Springer Tracts in Advanced Robotics) . ISBN : 978-3-540-71982-3 Configuration requise : Adobe acrobat Langues : Anglais (eng) Mots-clés : Automation  Artificial  intelligence  Engineering Résumé : 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 edit

Exemplaires

Code-barres	Cote	Support	Localisation	Section	Disponibilité	Etat_Exemplaire
E00171	681.5 MIL	Ressources électroniques	Bibliothèque Centrale	Automatique	Disponible
E00172	681.5 MIL	Ressources électroniques	Bibliothèque Centrale	Automatique	Disponible