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pro vyhledávání: '"Escobedo, Juan P."'
While distributed parameter estimation has been extensively studied in the literature, little has been achieved in terms of robust analysis and tuning methods in the presence of disturbances. However, disturbances such as measurement noise and model
Externí odkaz:
http://arxiv.org/abs/2401.14158
Autor:
Young, Stephen, Aksoy, Sinan, Firoz, Jesun, Gioiosa, Roberto, Hagge, Tobias, Kempton, Mark, Escobedo, Juan, Raugas, Mark
In recent years, graph theoretic considerations have become increasingly important in the design of HPC interconnection topologies. One approach is to seek optimal or near-optimal families of graphs with respect to a particular graph theoretic proper
Externí odkaz:
http://arxiv.org/abs/2104.11725
This work presents a notion of strong detectability for linear time varying systems affected by unknown inputs. It is shown that this notion is equivalent to detectability of an auxiliary system without unknown inputs. This allows a straightforward o
Externí odkaz:
http://arxiv.org/abs/2103.12432
The increasing ease of obtaining and processing data together with the growth in system complexity has sparked the interest in moving from conventional model-based control design towards data-driven concepts. Since in many engineering applications ti
Externí odkaz:
http://arxiv.org/abs/2010.02657
The increase in system complexity paired with a growing availability of operational data has motivated a change in the traditional control design paradigm. Instead of modeling the system by first principles and then proceeding with a (model-based) co
Externí odkaz:
http://arxiv.org/abs/2003.14158
Autor:
Colorado, Henry A., Cardenas, Carlos A., Gutierrez-Velazquez, Elkin I., Escobedo, Juan P., Monteiro, Sergio Neves
Publikováno v:
In Journal of Materials Research and Technology November-December 2023 27:3900-3913
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Publikováno v:
In Additive Manufacturing October 2022 58
Publikováno v:
In Materials Today: Proceedings 2022 59 Part 1:1168-1173
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In Materials & Design July 2021 205