Cells and robots : modeling and control of large-size agent populations
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...
Gardado en:
| Auteurs principaux: | , |
|---|---|
| Formato: | Livre numérique |
| Idioma: | Anglais |
| Publicado: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Edición: | 1st ed. 2007. |
| Series: | Springer Tracts in Advanced Robotics
32 |
| Acceso en liña: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Nota: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Cells and Robots, Texte imprimé, 9783540719816 |
| LEADER | 03438nam a22003377a 4500 | ||
|---|---|---|---|
| 001 | 939752 | ||
| 008 | 080505q2000 xx ||| |||| 00| 0 eng d | ||
| 009 | PPN12372726X | ||
| 020 | |a 9783540719823 | ||
| 041 | 0 | |a eng | |
| 082 | |a 629.892 | ||
| 100 | 1 | |a Milutinović, Dejan, |d 19..- | |
| 245 | 1 | 0 | |a Cells and robots : |b modeling and control of large-size agent populations |c by Dejan Lj. Milutinovic, Pedro U. Lima. |
| 250 | |a 1st ed. 2007. | ||
| 260 | |a Berlin, Heidelberg : |b Springer Berlin Heidelberg. | ||
| 260 | |a Cham : |b Springer Nature, |c [20..]. | ||
| 490 | 0 | |a Springer Tracts in Advanced Robotics |v 32 |x 1610-742X | |
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 505 | 1 | |a 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 | |
| 506 | |a Accès en ligne pour les établissements français bénéficiaires des licences nationales | ||
| 506 | |a Accès soumis à abonnement pour tout autre établissement | ||
| 506 | |a Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 | ||
| 520 | |a 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) | ||
| 700 | 1 | |a Lima, Pedro U., |d 19..-...., |c auteur en robotique. |4 aut | |
| 776 | 0 | |t Cells and Robots |b Texte imprimé |z 9783540719816 | |
| 856 | 4 | |q PDF |u https://doi.org/10.1007/978-3-540-71982-3 |z Accès sur la plateforme de l'éditeur | |
| 856 | 4 | |u https://revue-sommaire.istex.fr/ark:/67375/8Q1-XZ3LSNPK-D |z Accès sur la plateforme Istex | |
| 856 | 4 | |5 452349901:747879842 |u https://ezproxy.univ-orleans.fr/login?url=https://dx.doi.org/10.1007/978-3-540-71982-3 |z Accès Université d'Orléans | |
| 856 | 4 | |5 180339901:750892404 |u https://ezproxy.insa-cvl.fr/login?qurl=https://dx.doi.org/10.1007/978-3-540-71982-3 |z Accès INSA CVL | |
| 997 | |0 939752 |1 Livre numérique |a Ressource numérique |b INSA |b ENSA |c 0/Bibliothèque numérique/ |c 1/Bibliothèque numérique/Autre ressource numérique/ | ||

