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Stochastic reactive distributed robotic systems: design, modeling and optimization
This monograph presents the development of novel model-based methodologies for engineering self-organized and self-assembled systems. The work bridges the gap between statistical mechanics and control theory by tackling a number of challenges for a class of distributed systems involving a specific t...
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| Lenguaje: | eng |
| Publicado: |
Springer
2014
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| Acceso en línea: | https://dx.doi.org/10.1007/978-3-319-02609-1 http://cds.cern.ch/record/1627059 |
| _version_ | 1780933838539587584 |
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| author | Mermoud, Gregory |
| author_facet | Mermoud, Gregory |
| author_sort | Mermoud, Gregory |
| collection | CERN |
| description | This monograph presents the development of novel model-based methodologies for engineering self-organized and self-assembled systems. The work bridges the gap between statistical mechanics and control theory by tackling a number of challenges for a class of distributed systems involving a specific type of constitutive components, namely referred to as Smart Minimal Particles. The results described in the volume are expected to lead to more robust, dependable, and inexpensive distributed systems such as those endowed with complex and advanced sensing, actuation, computation, and communication capabilities. |
| id | cern-1627059 |
| institution | Organización Europea para la Investigación Nuclear |
| language | eng |
| publishDate | 2014 |
| publisher | Springer |
| record_format | invenio |
| spelling | cern-16270592021-04-21T21:38:34Zdoi:10.1007/978-3-319-02609-1http://cds.cern.ch/record/1627059engMermoud, GregoryStochastic reactive distributed robotic systems: design, modeling and optimizationEngineeringThis monograph presents the development of novel model-based methodologies for engineering self-organized and self-assembled systems. The work bridges the gap between statistical mechanics and control theory by tackling a number of challenges for a class of distributed systems involving a specific type of constitutive components, namely referred to as Smart Minimal Particles. The results described in the volume are expected to lead to more robust, dependable, and inexpensive distributed systems such as those endowed with complex and advanced sensing, actuation, computation, and communication capabilities.Springeroai:cds.cern.ch:16270592014 |
| spellingShingle | Engineering Mermoud, Gregory Stochastic reactive distributed robotic systems: design, modeling and optimization |
| title | Stochastic reactive distributed robotic systems: design, modeling and optimization |
| title_full | Stochastic reactive distributed robotic systems: design, modeling and optimization |
| title_fullStr | Stochastic reactive distributed robotic systems: design, modeling and optimization |
| title_full_unstemmed | Stochastic reactive distributed robotic systems: design, modeling and optimization |
| title_short | Stochastic reactive distributed robotic systems: design, modeling and optimization |
| title_sort | stochastic reactive distributed robotic systems: design, modeling and optimization |
| topic | Engineering |
| url | https://dx.doi.org/10.1007/978-3-319-02609-1 http://cds.cern.ch/record/1627059 |
| work_keys_str_mv | AT mermoudgregory stochasticreactivedistributedroboticsystemsdesignmodelingandoptimization |