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Centralized Position optimization of Multiple Agents in Spatiotemporally-Varying Environment: a Case Study with Relocatable Energy-Harvesting Autonomous Underwater Vehicles in the Gulf Stream

Research article (2019 IEEE Conference on Control Technology and Applications (CCTA), 2019) · cited 10× · AI/ML
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Centralized Position optimization of Multiple Agents in Spatiotemporally-Varying Environment: a Case Study with Relocatable Energy-Harvesting Autonomous Underwater Vehicles in the Gulf Stream

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Centralized Position optimization of Multiple Agents in Spatiotemporally-Varying Environment: a Case Study with Relocatable Energy-Harvesting Autonomous Underwater Vehicles in the Gulf Stream is a scholarly article[1].

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  • Centralized Position optimization of Multiple Agents in Spatiotemporally-Varying Environment: a Case Study with Relocatable Energy-Harvesting Autonomous Underwater Vehicles in the Gulf Stream's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Centralized Position optimization of Multiple Agents in Spatiotemporally-Varying Environment: a Case Study with Relocatable Energy-Harvesting Autonomous Underwater Vehicles in the Gulf Stream. Retrieved May 24, 2026, from https://4ort.xyz/entity/centralized-position-optimization-of-multiple-agents-in-spatiotemporally-varying-environment-a-case-study-with-relocatab
MLA “Centralized Position optimization of Multiple Agents in Spatiotemporally-Varying Environment: a Case Study with Relocatable Energy-Harvesting Autonomous Underwater Vehicles in the Gulf Stream.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/centralized-position-optimization-of-multiple-agents-in-spatiotemporally-varying-environment-a-case-study-with-relocatab.
BibTeX @misc{4ortxyz_centralized-position-optimization-of-multiple-agents-in-spatiotemporally-varying-environment-a-case-study-with-relocatab_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Centralized Position optimization of Multiple Agents in Spatiotemporally-Varying Environment: a Case Study with Relocatable Energy-Harvesting Autonomous Underwater Vehicles in the Gulf Stream}}, year = {2026}, url = {https://4ort.xyz/entity/centralized-position-optimization-of-multiple-agents-in-spatiotemporally-varying-environment-a-case-study-with-relocatab}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Centralized Position optimization of Multiple Agents in Spatiotemporally-Varying Environment: a Case Study with Relocatable Energy-Harvesting Autonomous Underwater Vehicles in the Gulf Stream — https://4ort.xyz/entity/centralized-position-optimization-of-multiple-agents-in-spatiotemporally-varying-environment-a-case-study-with-relocatab (retrieved 2026-05-24)

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