Cooperative control of multiagent systems: synthesis and experimentation
The Cooperative Control of Multiagent Systems course will illustrate the various attributes needed in such systems and the complexity inherent to the design. Cooperative systems are currently limited in capacity and in availability, partly due to this so-called complexity and to the multifaceted nat...
Gespeichert in:
| 1. Verfasser: | |
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| Format: | Elektronisch Video |
| Sprache: | English |
| Veröffentlicht: |
United States
IEEE
2008
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| Schlagworte: | |
| Online-Zugang: | FHN01 TUM01 |
| Zusammenfassung: | The Cooperative Control of Multiagent Systems course will illustrate the various attributes needed in such systems and the complexity inherent to the design. Cooperative systems are currently limited in capacity and in availability, partly due to this so-called complexity and to the multifaceted nature of design and analysis. This course will focus on the well-known problem of multiagent path planning, with brief discussions of advanced techniques for formation flight health management. The optimization problem and its solution will be cast in the framework of dynamic programming and Markov decision processes, typical of problems of optimization under uncertainty. A discussion of the results of numerical simulations, integrating decision-making with closed-loop dynamics of the air vehicles, for both formation flight and path planning, will conclude the course |
| Beschreibung: | Description based on online resource; title from title screen (IEEE Xplore Digital Library, viewed November 13, 2020) |
| Beschreibung: | 1 Online-Resource (1 Videodatei, 60 Minuten) color illustrations |
| ISBN: | 9781424414451 |
Internformat
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| 520 | |a The Cooperative Control of Multiagent Systems course will illustrate the various attributes needed in such systems and the complexity inherent to the design. Cooperative systems are currently limited in capacity and in availability, partly due to this so-called complexity and to the multifaceted nature of design and analysis. This course will focus on the well-known problem of multiagent path planning, with brief discussions of advanced techniques for formation flight health management. The optimization problem and its solution will be cast in the framework of dynamic programming and Markov decision processes, typical of problems of optimization under uncertainty. A discussion of the results of numerical simulations, integrating decision-making with closed-loop dynamics of the air vehicles, for both formation flight and path planning, will conclude the course | ||
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Datensatz im Suchindex
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| dewey-full | 006.30285436 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 006 - Special computer methods |
| dewey-raw | 006.30285436 |
| dewey-search | 006.30285436 |
| dewey-sort | 16.30285436 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| discipline_str_mv | Informatik |
| format | Electronic Video |
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| indexdate | 2024-07-10T09:13:11Z |
| institution | BVB |
| isbn | 9781424414451 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-032878602 |
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| publisher | IEEE |
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| spelling | Rabbath, C. A. Verfasser aut Cooperative control of multiagent systems synthesis and experimentation C. A. Rabbath United States IEEE 2008 1 Online-Resource (1 Videodatei, 60 Minuten) color illustrations tdi rdacontent c rdamedia cr rdacarrier Description based on online resource; title from title screen (IEEE Xplore Digital Library, viewed November 13, 2020) The Cooperative Control of Multiagent Systems course will illustrate the various attributes needed in such systems and the complexity inherent to the design. Cooperative systems are currently limited in capacity and in availability, partly due to this so-called complexity and to the multifaceted nature of design and analysis. This course will focus on the well-known problem of multiagent path planning, with brief discussions of advanced techniques for formation flight health management. The optimization problem and its solution will be cast in the framework of dynamic programming and Markov decision processes, typical of problems of optimization under uncertainty. A discussion of the results of numerical simulations, integrating decision-making with closed-loop dynamics of the air vehicles, for both formation flight and path planning, will conclude the course Multiagent systems (DE-588)4017102-4 Film gnd-content |
| spellingShingle | Rabbath, C. A. Cooperative control of multiagent systems synthesis and experimentation Multiagent systems |
| subject_GND | (DE-588)4017102-4 |
| title | Cooperative control of multiagent systems synthesis and experimentation |
| title_auth | Cooperative control of multiagent systems synthesis and experimentation |
| title_exact_search | Cooperative control of multiagent systems synthesis and experimentation |
| title_exact_search_txtP | Cooperative control of multiagent systems synthesis and experimentation |
| title_full | Cooperative control of multiagent systems synthesis and experimentation C. A. Rabbath |
| title_fullStr | Cooperative control of multiagent systems synthesis and experimentation C. A. Rabbath |
| title_full_unstemmed | Cooperative control of multiagent systems synthesis and experimentation C. A. Rabbath |
| title_short | Cooperative control of multiagent systems |
| title_sort | cooperative control of multiagent systems synthesis and experimentation |
| title_sub | synthesis and experimentation |
| topic | Multiagent systems |
| topic_facet | Multiagent systems Film |
| work_keys_str_mv | AT rabbathca cooperativecontrolofmultiagentsystemssynthesisandexperimentation |