vasospasm 发表于 2025-3-23 12:20:39
https://doi.org/10.1007/978-1-4684-6521-1ence speed to reach the consensus. Then we have used these algorithms to study a distributed solution based on consensus to the problem of cooperatively build a topological map of the environment. Conclusions obtained throughout this work are finally summarized in this chapter.啪心儿跳动 发表于 2025-3-23 14:00:46
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Robotic Networks and the Consensus Problem,orithms based on linear iterations and the application of this kind of algorithms to achieve the consensus using different weights. To conclude the chapter, we show some examples of different consensus applications solved using linear iterations.overture 发表于 2025-3-23 23:42:41
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https://doi.org/10.1007/978-1-4684-6521-1 We formally demonstrate the main properties of the algorithm and prove that after executing our method, the team of robots finishes with a globally consistent data association. The performance of the algorithm is tested with extensive simulations and real images at the end of the chapter.charisma 发表于 2025-3-24 08:10:24
https://doi.org/10.1007/978-1-4684-6521-1e the main properties of the algorithm for both, fixed and switching communication topologies. Additionally, we provide a second algorithm for the adaptive selection of the parameters to optimize the convergence rate. We validate the studied method with extensive simulations.出生 发表于 2025-3-24 10:56:08
The Data Association Problem, We formally demonstrate the main properties of the algorithm and prove that after executing our method, the team of robots finishes with a globally consistent data association. The performance of the algorithm is tested with extensive simulations and real images at the end of the chapter.妨碍议事 发表于 2025-3-24 18:50:27
Fast Consensus with Chebyshev Polynomials,e the main properties of the algorithm for both, fixed and switching communication topologies. Additionally, we provide a second algorithm for the adaptive selection of the parameters to optimize the convergence rate. We validate the studied method with extensive simulations.圣歌 发表于 2025-3-24 22:30:59
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