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Titlebook: Latest Advances in Electrical Engineering, and Electronics; Proceedings of the J Miguel Botto-Tobar,Marcelo Zambrano Vizuete,Ana Za Confere

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21#
發(fā)表于 2025-3-25 07:14:28 | 只看該作者
22#
發(fā)表于 2025-3-25 08:11:49 | 只看該作者
23#
發(fā)表于 2025-3-25 15:43:01 | 只看該作者
24#
發(fā)表于 2025-3-25 16:57:44 | 只看該作者
25#
發(fā)表于 2025-3-25 23:28:00 | 只看該作者
Learning an?Improved LMI Controller Based on?Takagi-Sugeno Models via?Value Iterationn-value function (Q-function), and value iteration algorithm to learn optimal controllers by using system data. In this respect, the proposed uses ideas of the previous works that parametrize in a particular way the Q-function. In this sense, the Q-function can be described with polynomials membersh
26#
發(fā)表于 2025-3-26 00:34:56 | 只看該作者
27#
發(fā)表于 2025-3-26 06:29:38 | 只看該作者
28#
發(fā)表于 2025-3-26 11:23:43 | 只看該作者
Decoupled Distributed State Estimator with?Reduced Number of?Measurements for?Power System Applicatidistributed state estimation in which the estimation of each area of the system will be performed locally. The measurements made by the PMUs installed in different nodes defined as references are included in the solution of the state estimator. The estimator is based on the weighted least squares (W
29#
發(fā)表于 2025-3-26 13:51:43 | 只看該作者
Object Detection and?Tracking Based on?Artificial Vision for?a?Single Board Computer (SBC)ave been developed. However, those algorithms are unable to initiate the detecting process automatically since users are required to manually draw a bounding box. A potential solution is to merge an object detection neural network with a tracking vision-based algorithm. Therefore, this research prop
30#
發(fā)表于 2025-3-26 17:56:31 | 只看該作者
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